Skip to main content

ORIGINAL RESEARCH article

Front. Psychol., 03 February 2020
Sec. Performance Science
This article is part of the Research Topic Towards a Meaningful Instrumental Music Education. Methods, Perspectives, and Challenges View all 21 articles

Conservatory Musicians’ Temporal Organization and Self-Regulation Processes in Preparing for a Music Exam

  • 1PHASE Lab, Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland
  • 2Centre for Performance Science, Royal College of Music, London, United Kingdom
  • 3Melbourne Conservatorium of Music, The University of Melbourne, Melbourne, VIC, Australia

Performing at the very highest levels requires rigorous preparation before the important performance. Musicians and especially music students encounter many challenges when preparing themselves for an important musical performance. This study sought to identify and analyze the context-specific temporal organization and self-regulation efforts that music students employ during their preparation period. Conservatory musicians were recruited from an Australian University Conservatorium. Thirteen conservatory musicians aged between 19 and 21 years (M = 19.6; SD = 0.76) participated in the study. All musicians, through an elicitation interview, were asked to recall and reconstruct their preparation period, leading up to a performance exam. Elicitation interviews provided access to music students’ experiences by describing their general preparation. The results showed that conservatory musicians go through different phases (Phase 1: Choosing a piece; Phase 2: Piece discovery; Phase 3: Piece interpretation; Phase 4: Performance preparation). Self-regulatory efforts to prepare for a music performance exam vary from one musician to another. Organizational and disorganizational competencies, specific self-regulatory skills, seem not to be exploited by conservatory musicians. Also, during their preparation, most music students prefer technical and musical work than challenges such as playing in front of the public. Emotionally, conservatory musicians go through pleasant and unpleasant emotions depending on the phase of their preparation. Our results show that music students could benefit from advice on how to organize their preparation period well before an important performance takes place. Implications for conservatory musicians and teachers are discussed.

Introduction

Elite musicians need to overcome many challenges and invest much time practicing in order to excel and perform at their highest level, especially during their formative years. Deliberate practice, which was first studied in sport sciences, is also important in the music domain (Ericsson et al., 1993; Lehmann and Ericsson, 1997; Miksza and Tan, 2015). However, the deliberate practice framework, which has been simplified within non-research literature as the 10-year and 10,000-h rule (Kaufman, 2013), is becoming increasingly contested. Some evidence suggests that it explains no more than 30% in the expertise of a performer (Meinz and Hambrick, 2011; Hambrick et al., 2013; Macnamara et al., 2014). Indeed, the quality rather than quantity of practice is regarded by some as more important in explaining achievement (Ryan and Deci, 2000, 2002; McPherson et al., 2016). Research has also found that successful performances are often connected with feelings of sufficient preparation, positive mindsets and presenting a high, yet attainable, level of challenge. In contrast, less successful performances appear to be linked with inadequate preparation, negative mental outlooks, frustration, and a lack of enjoyment during the performance itself (Clark et al., 2014). Therefore, it is important to investigate the performance preparation phase that impacts on the performance itself, especially given that research on practice and learning within conservatory musicians is still limited compared to sport sciences (Nielsen, 2001; Miksza, 2015; McPherson et al., 2019), another field in which public performance is a key point.

In addition, research often focuses on the remediation of performance anxiety (Rae and McCambridge, 2004; Kenny, 2011; Studer et al., 2011; Kenny and Ackermann, 2015) and less on how music performers employ strategies directed at optimizing desired mental and emotional experiences during the preparation performance in order to develop their talent. In sport sciences, talent development is widely studied (MacNamara et al., 2006, 2008; MacNamara et al., 2010; Collins et al., 2016; Johnston et al., 2018). Characteristics and specific competencies have been outlined to develop elite level athletic attributes: goal setting, coping with pressure, planning and organization skills, the quality of practice and realistic performance evaluations (Pecen et al., 2016, 2018). However, a recent study showed that musicians lack different competencies and highlighted the importance of being able to organize preparation for a performance (Pecen et al., 2018).

Researchers have also been interested in the general steps and learning skills musicians require to develop their ability to play a piece “perfectly” (Reid, 2005). Many activities are required to learn a piece: repetition, memorization, the development of a technical expertise, and ultimately the formulation of interpretation (Rink and Rink, 2002; Reid, 2005; Lehmann and Jørgensen, 2012; Jørgensen and Hallam, 2016). Learning a piece appears to be different from one musician to another, because they apply different activities designed to facilitate learning or to improve music performance in specific areas (Barry and Hallam, 2002; Lehmann et al., 2007).

More than 60 years ago, researchers tried to identify key phases when learning a piece (Wicinski, 1950; Fitts and Posner, 1967). The steps identified by these researchers to learn a piece varied and are dealt with differently depending on each musician, but what emerges overall is that musicians apparently go through general learning phases that are interrelated to each other (Antonini Philippe and Güsewell, 2016). The first step is to choose pieces and work on them. Pieces can be imposed, selected in a list of possible pieces, or freely chosen. The second step involves the technical work required to master the piece. At this stage, the piece is worked through in sections, the time spent on a piece depends on its complexity and this often increases gradually as the practice progresses. Memorization at this stage goes through a structuring process, usually as an internal mapping of the work (Williamon, 2002). Musicians must develop a flexible memory retrieval system that will permit the performance to continue, whatever may go wrong (Ginsborg et al., 2006; Noice et al., 2008). In the third step, the repertoire is worked on as a whole, and musicians work on refining the interpretative details and overcoming technical problems. The fourth step is partly a maintenance procedure, which involves subtle modifications in interpretation, memory, or technique (Lehmann et al., 2007). Some musicians plan interpretation at the outset, based on a study of the score or from ideas gleaned from listening to a wide range of music and different interpretations of the same piece (Hallam, 1995; Lisboa et al., 2005), primarily letting the musical and expressive idea guide the technical work (Sloboda, 2000; Chaffin et al., 2003). Other musicians develop a performance plan after mastering most of the technical challenges (Nielsen, 2001).

Work routines and a specific, dedicated amount of time allocated each day preparing for a competition are conducive to good learning (Jørgensen, 2004). However, these hours of practice need to be quality hours as mentioned by McPherson et al. (2016). Musicians also have to be able to evaluate their own musical performance in order to develop daily routines allowing them to set learning objectives, based on clear evaluation, in order to manage a public examination, concert, or recital (McPherson and Schubert, 2004; Antonini Philippe, 2013). No specific method can be recommended, but some points seem important for musicians to perform at their best: an adapted working technique (Jørgensen, 2004) and receiving feedback from a competent and empathetic person (Woody et al., 2018).

According to Panadero (2017), self-regulated learning (SRL) is a comprehensive and holistic conceptual framework that defines the cognitive, metacognitive, behavioral, motivational, and emotional/affective aspects of learning. Self-regulated learning theory also considers other variables, in particular self-efficacy, volition, and cognitive strategies that influence learning. Importantly, SRL involves cyclical and multi-layered processes comprising three complementary phases: planning, doing, and reflecting (Zimmerman, 1998; Upitis et al., 2010; McPherson and Zimmerman, 2011). Researchers interested in preparation and learning processes within conservatory musicians have pointed out the importance of self-regulation (McPherson et al., 2017, 2019). Previous studies have investigated how students acquire the tools necessary to take control of their own learning and thereby learn effectively (McPherson et al., 2019) or how they negotiate effectively the learning phases that continuously interact: forecasting (goals and beliefs about oneself), performance, and self-correction (Zimmerman, 2000; McPherson and Renwick, 2011). Participants who are persistent and reflect on their practice display more effective practice, and experience higher levels of flow that are associated with self-regulation (Williamon and Valentine, 2000). Self-regulation instructions often comprise: concentration, goal-selection, planning, self-evaluation, and rest/reflective activity (Miksza, 2015).

A key aspect of self-regulation is emotional management. Some studies have attempted to describe musicians’ thoughts and perceptions in successful and less successful performances (Pekrun et al., 2002; Clark et al., 2014). Emotions and other performance-related affective states are considered to arise from person-environment transactions, which comprise individuals’ goals, behaviors, attitudes, and motivations in that situation (Lazarus, 2000; Efklides, 2011; Efklides et al., 2018). When studying these phenomena, the self-regulation efforts that individuals use to alter their interaction with the environment in order to better meet their goals also need to be considered (Lazarus and Folkman, 1984; Lazarus, 2000). Therefore, in order to be well prepared for an evaluated performance, emotions should also be self-regulated during the preparation and learning process (Thomson and Jaque, 2017).

To date, research in music psychology has been conducted using large-scale surveys (McPherson and McCormick, 1999, 2000; Nielsen, 2004; Miksza, 2012; Araújo, 2016; Spahn et al., 2016), with context-specific and ecological methods being limited (Chaffin and Imreh, 1994, 1997, 2001; Nielsen, 2001, 2004; Chaffin et al., 2003; Chaffin and Logan, 2006; Leon-Guerrero, 2008; McPherson et al., 2019). More context-based research holds the potential to provide a better understanding of how musicians manage their progress toward their learning goals.

For this study, a specific approach to human activity was therefore used which emphasizes the different experiences “showable, narratable and commentable to an observer or interlocutor” meaningful to conservatory musicians, corresponding to “the activity of a particular [musician], engaged in a particular physical and social environment and belonging to a particular culture” (Theureau and Jeffroy, 1994, p. 19). In music contexts, a recent study investigated the simulation of orchestral competition using a phenomenological approach (Antonini Philippe and Güsewell, 2016), and attempted to be as close and as authentic as possible to these musicians’ experiences at each particular moment in the data collection period. Some researchers are starting to study musicians in a phenomenological way. Researchers are interested in being as close as possible to the individual’s reality, therefore approaches such as microanalysis through video (Cleary et al., 2012; McPherson et al., 2017) or elicitation interviews with traces (e.g., drawings, photos, etc.…) (Antonini Philippe and Güsewell, 2016) aim at better understanding what they were doing, thinking, or feeling in specific situations.

The aim of this study was to analyze the context-specific temporal organization and self-regulation efforts that music performers use during the preparation period leading up to an important performance. Self-regulation strategies that unfold in regard to performance cannot be understood without considering the specificity of the interaction between the situation and the individual (i.e., his actions). For these reasons, this research will use a phenomenological approach to examine how conservatory musicians prepare for an important music performance.

Materials and Methods

Participants

Thirteen young music students from an Australian University Conservatorium participated in this research, consisting of seven men and six women aged between 19 and 20 years (M = 19.6; SD = 0.76). These musicians played different instruments (flute = 3; clarinet = 2; piano = 4; guitar = 1; saxophone = 1 and voice = 2); however, all were undertaking the “classical music” stream of their undergraduate degree. Conservatory musicians were in their first to last year of enrolment in an undergraduate Bachelor of Music degree at the Conservatorium. Five musicians were in their Honors year, a supplementary year during which students can undertake highly specialized work in music performance, composition, jazz and improvisation, musicology, or ethnomusicology.

Participants were first asked about the total duration of their preparation process for a typical performance (e.g., recital, exam). Given that participants were undergraduate students studying music within a higher education institution, all performances that were discussed were those required as part of their studies within the Conservatorium.

Procedure and Methods

A few months before the study, the music students were invited by email to participate in the research, on a voluntarily basis. Two types of data were collected to help build each musician’s experience database: (1) traces of past activity, using the graph drawn by conservatory musicians themselves and (2) recorded and transcribed data from the elicitation interviews.

1. To recapture more precisely the temporal dynamics of the performance’s preparation, the participants were encouraged to represent their experience by drawing a graph (see Figure 1) and re-live the preparation states they experienced from the beginning of this performance until its end (Drasch and Matthes, 2013). The interviewer suggested illustrating the temporality of a preparation music performance and point out key phases within this preparation, by discussing their actions, emotions, and thoughts experienced. Each musician was encouraged to recall how they prepared for a performance. To collect experience data, a posteriori, elicitation interviews were used. This type of interview was tested in different sports studies that also dealt with the analysis of individual and collective experiences and their development over time (e.g., Antonini Philippe et al., 2016; Rochat et al., 2017). These methodological approaches were also used in the artistic field with the study of a contemporary musical composition (Donin and Theureau, 2008) and the study of the preparation for contests with musicians (Antonini Philippe and Güsewell, 2016).

2. The conservatory musicians participated in elicitation interviews to explore and identify the key steps they used to prepare for their performance. Elicitation interviews (Theureau, 2010) lasting between 60 and 120 min were used to elicit the conservatory musicians’ experiences. These interviews aimed at collecting verbal data on a situation previously experienced. This type of interview could also allow collection of gestural data; however, these data were not used for the study. During the interview, the conservatory musicians were encouraged to recall themselves again in this specific situation of a performance preparation, previously experienced, based on the graph they drew. The interviewer’s questions were about the preparation of the performance exam and its impact on the musicians, as for example: What do you do? How do you organize yourself to prepare the exam? What do you feel? What strategies do you put in place? How do you live this period of preparation? What are your concerns at that moment? What do you think about? These questions reflect behaviors, emotions, and cognitions; however, there was not any interview guide and the focus was on the temporality and general construction of the preparation.

FIGURE 1
www.frontiersin.org

Figure 1. A reproduced graph, drawn by a musician (M1).

The interviews were recorded digitally using an iPad. The audio recordings were then transcribed verbatim. Conservatory musicians participated voluntarily and could stop answering questions at any time if they felt uncomfortable. Written and informed consent was obtained from all participants attesting that the data could be analyzed and discussed for publishing. Also, this research project was approved by the Human Research Ethics Committee of The University of Melbourne. Verbatim and experiences collected through graphs were then analyzed to bring forth categories that correspond to the preparation of a performance exam. The first author conducted all interviews.

Data Analyses

As the goal of this investigation was to establish a contextualized perspective of music students’ subjective experiences when preparing for a musical performance within the university context, the analysis procedure was data-driven rather than theory-driven (Charmaz, 2003). A thematic inductive approach was employed to analyze the data, which involved different steps (Braun and Clarke, 2006; Braun et al., 2016). The transcripts were first read through to familiarize the researchers with their content. Analysis involved identifying and dividing the transcripts into meaning units: parts of text representing a single idea in relation to the research question (Robson, 2011). These meaning units were labeled and then reviewed across all of the transcripts to check for consistency across the dataset. Next, the labeled meaning units were grouped into categories and themes with other similar meaning units. The themes were then grouped together into general dimensions that characterized the performance preparation process described by the participants. No software was employed in any stage of the analysis; instead all coding and grouping were conducted by hand.

Steps were taken to establish and ensure the reliability of the analysis process and the emergent findings. Discussion among the research team reviewed the resulting themes following the analysis process (Smith and McGannon, 2018). In the case of any disagreements, consolidation was sought through discussion and cross-referencing with the interview transcripts. To ensure that the researchers’ interpretation did not go beyond what was actually said by the participants, quotes are provided throughout the section “Results” below so that readers are able to form their own judgments on their meaning.

Results

Based upon the analysis, different themes emerged and categories were created. These were clustered into four overarching phases including Phase 1: Choosing a piece; Phase 2: Piece discovery; Phase 3: Piece interpretation, and Phase 4: Performance preparation, all of which formed the performance preparation overall (see Figure 2). In the subsequent sections, themes are discussed via their specific subthemes. These phases are interrelated to each other and conservatory musicians moved from one to the other depending on their needs. Emotions were particularly discussed by participants as they were intensely experienced; therefore they are presented as a transversal theme to the four phases. Participants reported that the duration of their preparation process was influenced or governed by their university’s annual academic calendar. Nonetheless, the total length of time that participants reported having to prepare for a performance ranged from 5 to 9 months.

FIGURE 2
www.frontiersin.org

Figure 2. Participants’ phases, themes, and subthemes of a performance exam preparation.

Phase 1: Choosing Pieces

Participants reported that the first task, when preparing for a performance, was to select the repertoire. This phase was composed of three subthemes lasting from 2 weeks to 1 month: (1) feel the music; (2) listen to pieces; and (3) learn about pieces and composers.

Feel the Music

When choosing repertoire, the students tended to focus on pieces that would be appropriate for their stage of development and therefore suitably challenging. They also searched for enjoyable pieces to practice and perform. Further to this point, some students spoke about choosing repertoire that they felt they had an emotional connection to and would also enjoy playing.

“I find it hard to work on pieces you don’t like at all during the three months. If I like my pieces it’s easier to work on them.” (M2).

“I choose the pieces I’m connected to. If I find a piece I love I would want to practice it a lot.” (M12).

Listen to Pieces

Listening to music appeared to be an important part of the musician’s preparation. Also, the music students tended to choose pieces that would allow them to demonstrate their musical skills and abilities.

“[I listen] to the repertoire [of] different musicians. Everyone plays styles differently and you have to find the best version of how it should be played.” (M2).

“I like pieces I like to listen to. And also, pieces that I know I’m going to be able to play. So not too hard and not too easy.” (M5).

Learn About Pieces and Composers

To be able to choose a piece, conservatory musicians seek an understanding of the context in which the music was created. The historical context and its technical particularities were considered important criteria when choosing and then committing to a piece.

“I really like reading about the story of the music and the composer and how the time was at the moment of the creation of the piece. I find this gives me more ideas for when I perform the piece.” (M1).

“I’ll be listening to recordings and doing the research around the pieces. Pieces have contexts, some pieces where written in the 1800’s and some had a tape going with it so it’s really new to play. It turned out that the piece had a rich context because it was written on the first synthesizer.” (M3).

“When I play 20th century pieces I try to look at the historical background to see what the composer went through.” (M6).

Phase 2: Piece Discovery

After choosing a piece, the musicians reported that a form of “piece discovery” was the next step in the process. This phase was often composed of three subthemes lasting about 3–5 months: (1) obtaining a general sense of the work and understanding its context; (2) work on technical aspects and note security and fluency; and (3) listen to recordings.

Obtaining a General Sense of the Work and Understanding Its Context

Once a piece is selected, participants would set about trying to achieve a general sense of their chosen repertoire. Some participants acknowledged that this phase was hard work, but enjoyable and exciting.

“Yes it’s like each piece reminds you something and link it in an emotional way. If I think a piece is sad how am I going to play to convey this feeling to the audience. Sometimes I make up a story. [...] You get a sense of it in the first period, but it’s more in the second period.” (M3).

“It’s quite exciting because you find a piece and then you try to find where you can get to with the piece.” (M4).

Work on Technical Aspects and Note Security and Fluency

Participants in this phase would focus on getting the piece up to the required tempo and speed. Conservatory musicians reported focusing on getting the notes under their fingers and singers getting an understanding of the text by playing on the piano to learn the notes and pitches.

“If it’s a piece with a lot of fast technical passages, I’m going to practice technical exercises that work on my fingers for the sake of improving my technique and not just work on the piece.” (M3).

“Probably at the beginning it would be to memorize words. I’m going to play to memorize the entire piece and then do the tempo, the speed.” (M13).

Listen to Recordings

Listening in this phase was different than in Phase 1. Participants suggested that they needed to be more concentrated when listening, in order to understand how to convey the emotional side of the piece in their playing and combine this with their technique.

“I listen to recordings of the piece by different musicians. Everyone has different styles and you have to find the best version of how it should be played.” (M1).

“This mental gymnastic between technique and emotion is what takes place for around all the semester. So, it’s not just listening. I try to understand how I can combine technique and emotion. [...] So it’s being able to emotionally connect what it has to be with my fingers.” (M12).

Phase 3: Piece Interpretation

In Phase 3, which lasted 1–2 months, participants recounted that determining and settling on an interpretation was a challenging process. Conservatory musicians entered this demanding phase of their performance preparation to get closer to what they wanted to present on the day of their performance. This phase was composed of three subthemes: (1) work on interpretative and expressive aspects; (2) listen to one’s own recordings; and (3) performing the work for others.

Work on Interpretative and Expressive Aspects

Having developed a general sense of the piece during Phase 2, music students reported turning their attention to interpretive and expressive aspects within Phase 3. Although participants still refined technical aspects of their repertoire, often this was undertaken alongside developing their confidence, finesse, and trust in their repertoire’s knowledge. Increasing familiarity with their pieces was reported to enhance comfort and confidence.

“Now it’s about starting to develop an emotional understanding of the piece and what is important to me to try and convey to the audience, what I want to bring as a performer to the piece, what is different.” (M4).

“The aim of [Phase 3] is about finesse, making sure that I am capable, that I don’t panic because it can happen. I develop trust in my instrument which are my ears and my voice. It is more about trusting that I am able to do what I need to do.” (M13).

Listen to One’s Own Recordings

The importance of listening to one’s own audio recordings appears to be linked to this third phase where some of the conservatory musicians employed different strategies (e.g., mirror, postponed listening). This appeared to allow a better appropriation of the music, technically, but also emotionally.

“And I started to record myself. I put my camera down and I looked at my performance. [I look at] my facial expression. Because when I play something I have a bad facial expression.” (M8).

“Yeah it’s also good to record yourself playing with the accompanist. And check like the dynamics and if you didn’t go soft at this point or another. Look at the music and evaluate yourself.” (M9).

“What I would do is I would record when I was at the piano and then straight after I listen to it and I continue make practice and I keep the recordings. And then, the next day, I do it again maybe even a week later, I listen to it because sometimes you get a different perspective when you come back.” (M13).

Performing the Work for Others

By this stage, music students were starting to shift their focus to performing their pieces in front of others. This involved running through their pieces, rehearsing with accompanists, and performing for others. As such, some participants actively sought out opportunities to practice performing for others (e.g., friends, family, peers) as part of their larger performance preparation.

“In class we have weekly classes in front of [teacher and friends] where we can play or you can sign up on Wednesday there’s moment where you can play and teacher gives you feedback.” (M2).

“You can also perform in one of the classes every week in front of students and it’s recorded [...] and [the teacher] will give you feedback.” (M9).

Phase 4: Performance Preparation

Conservatory musicians reported that the last task was the preparation for a performance exam. They spoke of working to develop and attain a certain performance level and mindset. This phase was composed of three subthemes lasting from 2 weeks to 1 month: (1) elaborate the link between technical, expressive, and emotional aspects; (2) ensure technical fluency; and (3) pre-live the situation by performing for others.

Elaborate the Link Between Technical, Expressive, and Emotional Aspects

With this aim, the conservatory musicians spoke of ensuring that the technical and emotional aspects of their pieces were well connected. Expressive aspects of the piece were focused on during this phase.

“I mean it’s easier to be dramatic when you know the piece really well. You can feel it and project it to the audience. So, doing work on the dramatic side of it in the last period. You can focus on it more at the end.” (M9).

“Then it’s focusing on actually getting expression from the pieces and try to put a personal touch to it. [...] In that period it’s developing expression and how you want to present it. It’s polishing what I have decided.” (M13).

Ensure Technical Fluency

With the aim of getting their pieces performance ready, the overwhelming majority of the practice behaviors reported by the participants were directed toward ensuring they had attained a certain level of technical control over their repertoire.

“It’s playing musically and making sure you have the technique. And make sure every phrase is musical.” (M2).

“Once I’ve identified the parts I’m not happy with, I try to figure out if it was a performance-related issue or a mechanical issue. If I can play it correctly in the practice room I make sure I pay attention while performing, and if it’s a mechanical issue I practice until it works.” (M5).

Pre-Live the Situation by Performing for Others

Conservatory musicians spoke about performing for others and how this helped them pre-experience the situation, develop confidence for playing in the “real” performance, and enhance their stage presence. The participants also reported employing a range of strategies to help them prepare for the specific conditions experienced within their performances.

“Ideally at this stage I would like to not be worried about whether I can play or not, but whether I can play well. And I also need to feel that I can communicate in a large room where people are listening. I’d say this is key to performing, and that I know exactly what it is that I want to say.” (M7).

“I feel more mentally at ease when playing the program if I’ve already visualized myself doing it”. (M10).

“My main objective is to put myself into stressful situation in order to be able to play at the recital. For example, I try to play my pieces first thing in the morning without having the time to practice them before.” (M11).

Emotional Responses Throughout Phases 1–4

Emotional responses through all phases varied considerably. From enjoyable and exciting to stressful and overwhelming, conservatory musicians faced multiple emotions they had to manage and deal with. However, some specificities can be pointed out for each phase.

The first phase seems to be enjoyable, but some music students also felt this period to be quite stressful, because it was the beginning of their preparation and they could see all the work they had to provide.

“I find this phase quite stressful because you want to get things ready as soon as possible but it’s complicated to process everything. In the first month it feels like it’s never going to end. I feel like ‘oh my god I still have so much to do!’” (M2).

The second phase seems the hardest in terms of commitment. Hard work is required, but it is also an enjoyable and gratifying phase because music students see the progress they make.

“I like the second phase the most because it feels like you’ve progressed and you’ve developed but it doesn’t matter if you make mistakes. You’re still learning at this point. It’s a more gratifying period. You know what you want to do and you progress every day.” (M2).

Also, due to the length of this phase, it was reported by some of the conservatory musicians that they experienced boredom and found the learning process monotonous.

“[Phase 2] gets monotonous. You have to spend a lot of time on a single piece. You sometimes get bored but I try to play other pieces not to be bored.” (M6).

However, increasing familiarity with their pieces was reported to enhance comfort and confidence.

Perhaps, due to the proximity of the upcoming performance, many participants reported negative emotional responses in Phase 3 which manifested as apprehension, stress, and worry due to the performance’s proximity:

“I think Phase 3 is the most difficult. I’m getting close to the recital. I get a little nervous and some days I feel like I’m not ready and I worry that I will fail.” (M1).

For some participants, this apprehension and worry seemed related to concerns about the outcome or mark they might receive for their performance exam. Also, related to concern about evaluative aspects of their upcoming performances, it seems emotional responses depended upon how prepared conservatory musicians felt they were:

“Giving performances can be a wonderful experience, if you know your pieces. But if you don’t know your pieces it can be terrible!” (M7).

Unsurprisingly, nerves and performance anxiety were reported to be a concern for music students, particularly in the two last phases. In an attempt to manage nerves, participants discussed employing strategies to overcome their anxiety, including ensuring a sufficient level of preparation before the performance.

Discussion

This study sought to explore the context-specific experiences and self-regulation efforts that music students live during their preparation period, leading up to an important performance.

Previous studies have highlighted findings that musicians who have accumulated more hours of deliberate practice reach a higher level than those who practice less (Lehmann and Ericsson, 1997; Jørgensen, 2002). However, the quality of practice can also determine the level of achievement (Williamon and Valentine, 2000; McPherson, 2005). Quality is not quantity, but it seems that musicians prioritize quantity over quality (Pecen et al., 2018). However, what does quality practice refer to in the music domain? As discussed by various authors (Biasutti and Concina, 2014; Pecen et al., 2018), music students in our research pointed out the importance of being well prepared and developing strategies to manage and overcome performance nerves and factors such as stress and anxiety, that are associated with their performance. However, it seems that many also lacked tools and strategies to overcome these challenges. Our results highlight different phases participants go through; however, what we found also is that the students do not appear to plan this preparation upstream of the learning phases. It seems that this preparation tends to emerge unconsciously. These findings are consistent with existing research in music performance reporting a lack or absence of planning and goal-setting behaviors (e.g., Talbot-Honeck, 1994; Hatfield, 2016). Also, our results present varying opinions on playing in front of others. Indeed, some conservatory musicians seek situations during which they can play in public and others avoid playing in front of others. However, even if they seek feedback from others, they often delay the time of confrontation as late as possible. A fairly marked predominance seems to concern the tendency to focus on technique and musicality rather than the specifics of the preparation phases. Moreover, conservatory musicians’ calendar within a music university system is often tight and full, therefore it appears difficult for them to plan and pace the preparation needed to master the repertoire they have to perform for the exams. Self-regulation learning (SRL) seems to be important to overcome challenges musicians face during the preparation and learning process and ensure a certain quality of practice (Zimmerman, 1998; McPherson and Zimmerman, 2011; McPherson et al., 2019). Miksza (2015) showed that musicians who received self-regulation instructions were able to make significantly greater gains in performance achievement than those who were simply presented with instruction about practice behaviors (e.g., repetition, memorization). Essentially, SRL involves cyclical and multi-layered processes comprising three complementary phases: planning, doing, and reflecting (Leon-Guerrero, 2008; Upitis et al., 2010). Planning strategies and organizing time seem to positively influence musicians’ ability to confront and overcome a performance (e.g., stress) (Araújo, 2016; McPherson et al., 2019). However, our results do not highlight these planning competencies. Indeed, musicians do not seem to plan their preparation period.

In our results, conservatory musicians reported varying experiences and time spent in each phase (i.e., from 2 weeks to 5 months). In other domains, such as sport, preparation phases are structured according to very specific needs and the time variable is considered before the beginning of the preparation phase (Blumenstein and Orbach, 2015; Fletcher and Sarkar, 2016). A key skill of SRL is to be able to reflect, evaluate, and re-organize a plan previously designed (McPherson et al., 2019). In our research, conservatory musicians did not seem to re-organize their plan. Instead, they went through different phases quite similarly without questioning their effectiveness: (1) Choose, (2) Learn, (3) Perfect, and (4) Consolidate. Organizing a plan could be proposed to these conservatory musicians in order for them to be more able to prepare for their future performances. Also, the time spent in each phase varied significantly and a lot of time was spent in learning (Phase 2) and perfecting (Phase 3) their pieces for the performance exam. Far less time was given to challenging themselves in front of others (Phase 4). Some attempts were undertaken to ask peers and family about their performance, regardless of their expertise, but these were most often sought in the last part of the preparation period. On the one side, a lot of time was spent perfecting pieces, technically and musically (i.e., 4–7 months), and on the other side, less time was used to consider feedback from others before a performance exam (i.e., 2 weeks to 1 month). In this way, these results are consistent with Stamer’s (2004) results.

Therefore, and as discussed by Pecen et al. (2018), conservatory musicians need guidance on how to optimize their preparation process. Challenging oneself by presenting their work to others appears to be crucial for learning and perfecting expertise. Our findings show that this presenting to others appears only in the last phase. Regarding the preparation tools, it appears that students report making greater use of recordings as their expertise develops (Hallam et al., 2012). However, recordings or performing for others could be used sooner in order to optimize the time the students have to prepare for a performance exam. In addition, conservatory musicians are alone in their process of performance preparation, especially in the last phase, with only rare support from peers, teachers, and their close environment. Therefore, an increasing number of music schools offer orchestra audition simulations that help musicians prepare for demanding performance situations (Williamon et al., 2014). The main aim of these simulations is to help music students acquire a better idea of what the performance will feel like and be able to cope with any distracting factors underlying performance, such as stage fright, stress, and, in general, performance-related emotions (Aufegger et al., 2017).

Additionally, emotional regulation is a key aspect of SRL (Clark et al., 2014; Thomson and Jaque, 2017) and to regulate emotionally people use coping strategies (Lazarus and Folkman, 1984). It seems that organizing, disorganizing, and re-organizing their preparation throughout the period could help them cope with emotions and negative affect (Thomson and Jaque, 2017). Developing conservatory musicians’ competencies in self-regulated learning would help them cope with stress and negative effects encountered by the preparation of a performance exam. In our results, conservatory musicians did not seem to use specific strategies to deal with emotional challenges encountered (e.g., stress). They faced the emotions and affects induced by a specific phase without specific strategies to change or increase related positive emotions. Conservatory musicians could develop flexible tactics to appropriately respond to and improve an emotional affect induced by a specific context (e.g., monotony, anxiety) (Thomson and Jaque, 2017).

Finally, according to our findings and, despite the number of successful intervention studies in the literature, practical advice on self-regulated learning in music performance enhancement processes is somewhat sparse. Initiatives are developing globally (e.g., Chesky et al., 2006; Liertz and Macedon, 2007; Williamon et al., 2014), yet even more proactive and integrated approaches are called for by researchers and students alike (e.g., Parncutt, 2007; Weller, 2008, 2010; McPherson et al., 2019). Furthermore, although a growing body of research demonstrates the benefits of performance psychology in music (e.g., Osborne, 2013; Osborne et al., 2014; Braden et al., 2015), institutions appear to be resistant toward changes. Academic work is often reduced to allow as much time as possible for practice (Parncutt and Williamon, 2005; Weller, 2010) as performers often consider everything that is not practice “a waste of time” (Brown, 2012).

There are a number of limitations of this qualitative study. The interviewer was experienced in performing elicitation interviews with musicians. However, as she is not an expert musician, she was sometimes unfamiliar with expressions commonly used in the music community. Thus, during the interview, she asked conservatory musicians to explain their expressions when needed, to ensure the accuracy of the information collected. Also, only 13 music students participated in the study. Therefore, it is not possible to generalize these results. Furthermore, the participation in this study was voluntary; therefore, there is no homogeneity in the group of students. We did not test the students’ level of practice; however, they are all seeking to work and specialize in the music field. It would be interesting to ask professional musicians about their performance preparation. And, it is important to note that all participants in this study were Australian, leading to a culture-specific context constraining the generalization to other cultures. The musical educational system might be different depending on the country. Finally, self-preservation and retrospective recall bias have also to be considered, even so this bias was compensated through a written graph of their preparation process (Pecen et al., 2018).

Conclusion and Practical Implications

In conclusion, the aim of this study was to explore the context-specific preparation of conservatory musicians and highlight the self-regulation efforts they develop to get ready for a performance exam. Different working models were underlined: some conservatory musicians develop and employ very specific and planned preparation programs, whereas others just play and work on everything at the same time. The educational system does not explain how to develop a performance exam preparation process. This study suggests that it is important for young musicians to learn how to master a performance exam, not by proposing a plan, but by instructing and accompanying them in the development of self-regulation strategies. Music students should be supported in how to organize, disorganize, and plan their preparation process. A guide could be developed based upon evidence-based practice that details how music students can prepare for an exam or an important deadline and the resources they can use to overcome associated challenges (Leon-Guerrero, 2008). Also, besides music students, teachers and university music schools should be qualified and skilled to relay their competencies to young musicians and students (McPherson et al., 2016, 2017). Given the apparent relevance of self-beliefs and self-regulated learning to musicians’ success, it would be useful for researchers to explore conservatory musicians’ perceptions of themselves and their skills, as well as how those perceptions influence practice behaviors and performance experiences (Leon-Guerrero, 2008).

Consequently, initiatives, if available, can often be mostly theoretical and lacking in practicality and systematic delivery (e.g., lecture or workshop formats are typical) (Weller, 2008). Although clearly well intentioned, such theoretical formats appear to lack traction with student-performers (Brown, 2012) and do not accurately reflect performance psychology training. Indeed, structured, systematic, and comprehensively interdisciplinary training that practically communicates the tools necessary to optimize exam preparation for musicians is uncommon. An approach that might encourage more autonomy and engagement would be to ask students to use a practice journal to record and reflect on the strategies they choose in order to maintain effort, to monitor accuracy, correct errors, and develop their own interpretation of the piece. Such efforts to develop greater engagement have been found by McPherson et al. (2012) to increase practice efficiency. In addition, accompanying music students in the development of self-regulated skills to prepare for exams or recitals could help them experience these events in a more serene way and thus improve their general well-being and health (Williamon and Thompson, 2006; Kreutz et al., 2009; Antonini Philippe et al., 2019).

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author.

Ethics Statement

This study involving human participants was reviewed and approved by Human Research Ethics from the University of Melbourne. The participants provided their written informed consent to participate in this study. Written and informed consent was obtained from all participants attesting that the data could be unrestrictedly analyzed and discussed for publishing.

Author Contributions

RA and GM contributed to the conception and design of the study. RA, CK, NV, and TC organized the database. TC, RA, CK, and NV performed the analysis. All authors co-wrote the manuscript, contributed to the manuscript revision, read, and approved the submitted version.

Funding

This research was funded by International short visits FNS (IZK0Z1_174533) supporting original researches.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors would like to thank the participating musicians and school director. They would also like to thank Prof. Denis Hauw for helping in the preparation of the interview questions and, finally, Chiara Rosati for helping finalize the references list.

Nomenclature

M1, Musician 1; M2, Musician 2; etc.

References

Antonini Philippe, R. (2013). Les états affectifs des musiciens lors des concours d’orchestre: eléments situationnels et pratiques mentales concomitants. Revue MdA 74, 44–54.

Google Scholar

Antonini Philippe, R., and Güsewell, A. (2016). La simulation de concours d’orchestre: analyse qualitative et située de l’activité des musiciens. Les Cahiers de la SQRM 17, 71–82. doi: 10.7202/1044671ar

CrossRef Full Text | Google Scholar

Antonini Philippe, R., Kosirnik, C., Vuichoud, N., Williamon, A., and von Roten, F. C. (2019). Understanding wellbeing among college music students and amateur musicians in Western Switzerland. Front. Psychol. 10, 1–11. doi: 10.3389/fpsyg.2019.00820

PubMed Abstract | CrossRef Full Text | Google Scholar

Antonini Philippe, R., Rochat, N., Vauthier, M., and Hauw, D. (2016). The story of withdrawals during an ultra-trail running race: a qualitative investigation of runners’ courses of experience. Sport Psychol. 30, 361–375. doi: 10.1123/tsp.2016-0039

CrossRef Full Text | Google Scholar

Araújo, M. V. (2016). Measuring self-regulated practice behaviours in highly skilled musicians. Psychol. Music 44, 278–292. doi: 10.1177/0305735614567554

CrossRef Full Text | Google Scholar

Aufegger, L., Perkins, R., Wasley, D., and Williamon, A. (2017). Musicians’ perceptions and experiences of using simulation training to develop performance skills. Psychol. Music 45, 417–431. doi: 10.1177/0305735616666940

CrossRef Full Text | Google Scholar

Barry, N., and Hallam, S. (2002). Practising. Oxford, UK: Oxford University Press.

Google Scholar

Biasutti, M., and Concina, E. (2014). The role of coping strategy and experience in predicting music performance anxiety. Music. Sci. 18, 189–202. doi: 10.1177/1029864914523282

CrossRef Full Text | Google Scholar

Blumenstein, B., and Orbach, I. (2015). Psychological preparation for paralympic athletes: a preliminary study. Adapt. Phys. Act. Q. 32, 241–255. doi: 10.1123/APAQ.2014-0235

PubMed Abstract | CrossRef Full Text | Google Scholar

Braden, A. M., Osborne, M. S., and Wilson, S. J. (2015). Psychological intervention reduces self-reported performance anxiety in high school music students. Front. Psychol. 6, 1–9. doi: 10.3389/fpsyg.2015.00195

CrossRef Full Text | Google Scholar

Braun, V., and Clarke, V. (2006). Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77–101. doi: 10.1191/1478088706qp063oa

CrossRef Full Text | Google Scholar

Braun, V., Clarke, V., and Weate, P. (2016). “Using thematic analysis in sport and exercise research” in Routledge handbook of qualitative research in sport and exercise. ed. A. C. S. Brett Smith (Abingdon-on-Thames, UK: Routledge), 213–227.

Google Scholar

Brown, A. R. (2012). Sound musicianship: Understanding the crafts of music. Vol. 4. Cambridge, UK: Cambridge Scholars Publishing.

Google Scholar

Chaffin, R., and Imreh, G. (1994). Memorizing for piano performance. Piano J. 15, 16–19.

Google Scholar

Chaffin, R., and Imreh, G. (1997). “Pulling teeth and torture”: musical memory and problem solving. Think. Reason. 3, 315–336.

Google Scholar

Chaffin, R., and Imreh, G. (2001). A comparison of practice and self-report as sources of information about the goals of expert practice. Psychol. Music 29, 39–69. doi: 10.1177/0305735601291004

CrossRef Full Text | Google Scholar

Chaffin, R., Imreh, G., Lemieux, A. F., and Chen, C. (2003). “Seeing the big picture”: piano practice as expert problem solving. Music Percept. Interdis. J. 20, 465–490. doi: 10.1525/mp.2003.20.4.465

CrossRef Full Text | Google Scholar

Chaffin, R., and Logan, T. (2006). Practicing perfection: how concert soloists prepare for performance. Adv. Cogn. Psychol. 2, 113–130. doi: 10.2478/v10053-008-0050-z

CrossRef Full Text | Google Scholar

Charmaz, K. (2003). “Grounded theory” in Qualitative psychology: A practical guide to research methods. ed. J. Smith (London, UK: Sage), 81–110.

Google Scholar

Chesky, K., Dawson, W. J., and Manchester, R. (2006). Health promotion in schools of music. Med. Probl. Perform. Art. 21, 142–144. doi: 10.3389/fpsyg.2018.01137

CrossRef Full Text | Google Scholar

Clark, T., Lisboa, T., and Williamon, A. (2014). An investigation into musicians’ thoughts and perceptions during performance. Res. Stud. Music Educ. 36, 19–37. doi: 10.1177/1321103X14523531

CrossRef Full Text | Google Scholar

Cleary, T. J., Callan, G. L., and Zimmerman, B. J. (2012). Assessing self-regulation as a cyclical, context-specific phenomenon: overview and analysis of SRL microanalytic protocols. Educ. Res. Int. 2012, 1–19. doi: 10.1155/2012/428639

CrossRef Full Text | Google Scholar

Collins, D., MacNamara, Á., and McCarthy, N. (2016). Super champions, champions, and almosts: important differences and commonalities on the rocky road. Front. Psychol. 6, 1–11. doi: 10.3389/fpsyg.2015.02009

CrossRef Full Text | Google Scholar

Donin, N., and Theureau, J. (2008). La coproduction des oeuvres et de l’atelier par le compositeur (À partir d’une étude de l’activité créatrice de Philippe Leroux entre 2001 et 2006). Circuit: musiques contemporaines 18, 59–71. doi: 10.7202/017909ar

CrossRef Full Text | Google Scholar

Drasch, K., and Matthes, B. (2013). Improving retrospective life course data by combining modularized self-reports and event history calendars: experiences from a large scale survey. Qual. Quant. 47, 817–838. doi: 10.1007/s11135-011-9568-0

CrossRef Full Text | Google Scholar

Efklides, A. (2011). Interactions of metacognition with motivation and affect in self-regulated learning: the MASRL model. Educ. Psychol. 46, 6–25. doi: 10.1080/00461520.2011.538645

CrossRef Full Text | Google Scholar

Efklides, A., Schwartz, B. L., and Brown, V. (2018). “Motivation and affect in self-regulated learning: does metacognition play a role?” in Handbook of self-regulation of learning and performance. 2nd Edn. eds. D. H. Schunk and J. A. Greene (New York, NY: Routledge), 180–216.

Google Scholar

Ericsson, K. A., Krampe, R. T., and Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychol. Rev. 100, 363–406. doi: 10.1037/0033-295X.100.3.363

CrossRef Full Text | Google Scholar

Fitts, P. M., and Posner, M. I. (1967). Human performance. Monterey, CA: Brooks/Cole.

Google Scholar

Fletcher, D., and Sarkar, M. (2016). Mental fortitude training: an evidence-based approach to developing psychological resilience for sustained success. J. Sport Psychol. Action 7, 135–157. doi: 10.1080/21520704.2016.1255496

CrossRef Full Text | Google Scholar

Ginsborg, J., Chaffin, R., and Nicholson, G. (2006). Shared performance cues in singing and conducting: a content analysis of talk during practice. Psychol. Music 34, 167–194. doi: 10.1177/0305735606061851

CrossRef Full Text | Google Scholar

Hallam, S. (1995). Professional conservatory musicians’ approaches to the learning and interpretation of music. Psychol. Music 23, 111–128. doi: 10.1177/0305735695232001

CrossRef Full Text | Google Scholar

Hallam, S., Creech, A., Varvarigou, M., and McQueen, H. (2012). Perceived benefits of active engagement with making music in community settings. Int. J. Community Music 5, 155–174. doi: 10.1386/ijcm.5.2.155_1

CrossRef Full Text | Google Scholar

Hambrick, D. Z., Oswald, F. L., Altmann, E. M., Meinz, E. J., Gobet, F., and Campitelli, G. (2013). Deliberate practice: is that all it takes to become an expert? Intelligence 44, 149–154. doi: 10.1016/j.intell.2014.04.001

CrossRef Full Text | Google Scholar

Hatfield, J. L. (2016). Performing at the top of one’s musical game. Front. Psychol. 7, 1–16. doi: 10.3389/fpsyg.2016.01356

CrossRef Full Text | Google Scholar

Johnston, K., Wattie, N., Schorer, J., and Baker, J. (2018). Talent identification in sport: a systematic review. Sports Med. 48, 97–109. doi: 10.1007/s40279-017-0803-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Jørgensen, H. (2002). Instrumental performance expertise and amount of practice among instrumental students in a conservatoire. Music. Educ. Res. 4, 105–119. doi: 10.1080/14613800220119804

CrossRef Full Text | Google Scholar

Jørgensen, H. (2004). “Strategies for individual practice” in Musical excellence: Strategies and techniques to enhance performance. ed. A. Williamon (Oxford, UK: Oxford University Press), 85–104.

Google Scholar

Jørgensen, H., and Hallam, S. (2016). “Practicing” in The Oxford handbook of music psychology. 2nd Edn. eds. S. Hallam, I. Cross, and M. Thaut (Oxford, UK: Oxford University Press), 449–462.

Google Scholar

Kaufman, S. B. (2013). The complexity of greatness: Beyond talent or practice. Oxford, UK: Oxford University Press.

Google Scholar

Kenny, D. (2011). The psychology of music performance anxiety. Oxford, UK: Oxford University Press.

Google Scholar

Kenny, D., and Ackermann, B. (2015). Performance-related musculoskeletal pain, depression and music performance anxiety in professional orchestral musicians: a population study. Psychol. Music 43, 43–60. doi: 10.1177/0305735613493953

CrossRef Full Text | Google Scholar

Kreutz, G., Ginsborg, J., and Williamon, A. (2009). Health-promoting behaviours in conservatoire students. Psychol. Music 37, 47–60. doi: 10.1177/0305735607086047

CrossRef Full Text | Google Scholar

Lazarus, R. S. (2000). How emotions influence performance in competitive sports. Sport Psychol. 14, 229–252. doi: 10.1123/tsp.14.3.229

CrossRef Full Text | Google Scholar

Lazarus, R. S., and Folkman, S. (1984). “Coping and adaptation” in The handbook of behavioral medicine. ed. W. D. Gentry (New York, NY: Guilford), 282–325.

Google Scholar

Lehmann, A. C., and Ericsson, K. A. (1997). Research on expert performance and deliberate practice: implications for the education of amateur musicians and music students. Psychomusicology 16, 40–58. doi: 10.1037/h0094068

CrossRef Full Text | Google Scholar

Lehmann, A., and Jørgensen, H. (2012). “Practice” in The Oxford handbook of music education. 2nd Edn. eds. G. E. McPherson and G. Welch (Oxford, UK: Oxford University Press), 677–693.

Google Scholar

Lehmann, A. C., Sloboda, J. A., and Woody, R. H. (2007). Psychology for musicians: Understanding and acquiring the skills. Oxford, UK: Oxford University Press.

Google Scholar

Leon-Guerrero, A. (2008). Self-regulation strategies used by student musicians during music practice. Music. Educ. Res. 10, 91–106. doi: 10.1080/14613800701871439

CrossRef Full Text | Google Scholar

Liertz, C., and Macedon, M. (2007). “New frameworks for tertiary music education: a holistic approach for many pyramids of excellence” in 8th Australian piano pedagogy conference. Available at: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.498.778&rep=rep1&type=pdf

Google Scholar

Lisboa, T., Williamon, A., Zicari, M., and Eiholzer, H. (2005). Mastery through imitation: a preliminary study. Music. Sci. 19, 75–110. doi: 10.1177/102986490500900103

CrossRef Full Text | Google Scholar

MacNamara, Á., Button, A., and Collins, D. (2010). The role of psychological characteristics in facilitating the pathway to elite performance part 1: identifying mental skills and behaviors. Sport Psychol. 24, 52–73. doi: 10.1123/tsp.24.1.52

CrossRef Full Text | Google Scholar

Macnamara, B. N., Hambrick, D. Z., and Oswald, F. L. (2014). Deliberate practice and performance in music, games, sports, education, and professions: a meta-analysis. Psychol. Sci. 25, 1608–1618. doi: 10.1177/0956797614535810

PubMed Abstract | CrossRef Full Text | Google Scholar

MacNamara, A., Holmes, P., and Collins, D. (2006). The pathway to excellence: the role of psychological characteristics in negotiating the challenges of musical development. Br. J. Music Educ. 23, 285–302. doi: 10.1017/S0265051706007066

CrossRef Full Text | Google Scholar

MacNamara, Á., Holmes, P., and Collins, D. (2008). Negotiating transitions in musical development: the role of psychological characteristics of developing excellence. Psychol. Music 36, 335–352. doi: 10.1177/0305735607086041

CrossRef Full Text | Google Scholar

McPherson, G. E. (2005). From child to musician: skill development during the beginning stages of learning an instrument. Psychol. Music 33, 5–35. doi: 10.1177/0305735605048012

CrossRef Full Text | Google Scholar

McPherson, G. E., Davidson, J. W., and Faulkner, R. (2012). Music in our lives: Rethinking musical ability, development and identity. Oxford, UK: Oxford University Press.

Google Scholar

McPherson, G. E., Evans, P., Kupers, E., and Renwick, J. (2016). “Applying self-determination and self-regulation theories for optimizing music performance” in Art in motion III, performing under pressure. 3rd Edn. ed. A. Mornell (Bern, CH: Peter Lang GmbH, Internationaler Verlag der Wissenschaften), 131–148.

Google Scholar

McPherson, G. E., and McCormick, J. (1999). Motivational and self-regulated learning components of musical practice. Bull. Counc. Res. Music. Educ., 98–102.

Google Scholar

McPherson, G. E., and McCormick, J. (2000). The contribution of motivational factors to instrumental performance in a music examination. Res. Stud. Music Educ. 15, 31–39. doi: 10.1177/1321103X0001500105

CrossRef Full Text | Google Scholar

McPherson, G. E., Miksza, P., and Evans, P. (2017). “Self-regulated learning in music practice and performance” in Handbook of self-regulation of learning and performance. 2nd Edn. eds. D. H. Schunk and J. A. Greene (New York, NY: Routledge) 181–193.

Google Scholar

McPherson, G. E., Osborne, M. S., Evans, P., and Miksza, P. (2019). Applying self-regulated learning microanalysis to study musicians’ practice. Psychol. Music 47, 18–32. doi: 10.1177/0305735617731614

CrossRef Full Text | Google Scholar

McPherson, G. E., and Renwick, J. M. (2011). “Self-regulation and mastery of musical skills” in Educational psychology handbook series. Handbook of self-regulation of learning and performance. eds. B. J. Zimmerman and D. H. Schunk (Abingdon-on-Thames, UK: Routledge), 234–248.

Google Scholar

McPherson, G. E., and Schubert, E. (2004). “Measuring performance enhancement in music” in Musical excellence: Strategies and techniques to enhance performance. ed. A. Williamon (Oxford, UK: Oxford University Press), 61–82.

Google Scholar

McPherson, G. E., and Zimmerman, B. J. (2011). “Self-regulation of musical learning” in MENC handbook of research on music learning. eds. R. Colwell and P. Webster (Oxford, UK: Oxford University Press) 130–175.

Google Scholar

Meinz, E. J., and Hambrick, D. Z. (2011). Deliberate practice is necessary but not sufficient to explain individual differences in piano sight-reading skill: the role of working memory capacity. Psychol. Sci. 21, 914–919. doi: 10.1177/0956797610373933

CrossRef Full Text | Google Scholar

Miksza, P. (2012). The development of a measure of self-regulated practice behavior for beginning and intermediate instrumental music students. J. Res. Music. Educ. 59, 321–338. doi: 10.1177/0022429411414717

CrossRef Full Text | Google Scholar

Miksza, P. (2015). The effect of self-regulation instruction on the performance achievement, musical self-efficacy, and practicing of advanced wind players. Psychol. Music 43, 219–243. doi: 10.1177/0305735613500832

CrossRef Full Text | Google Scholar

Miksza, P., and Tan, L. (2015). Predicting collegiate wind players’ practice efficiency, flow, and self-efficacy for self-regulation: an exploratory study of relationships between teachers’ instruction and students’ practicing. J. Res. Music. Educ. 63, 162–179. doi: 10.1177/0022429415583474

CrossRef Full Text | Google Scholar

Nielsen, S. G. (2001). Self-regulating learning strategies in instrumental music practice. Music. Educ. Res. 3, 155–167. doi: 10.1080/14613800120089223

CrossRef Full Text | Google Scholar

Nielsen, S. G. (2004). Strategies and self-efficacy beliefs in instrumental and vocal individual practice: a study of students in higher music education. Psychol. Music 32, 418–431. doi: 10.1177/0305735604046099

CrossRef Full Text | Google Scholar

Noice, H., Jeffrey, J., Noice, T., and Chaffin, R. (2008). Memorization by a jazz musician: a case study. Psychol. Music 36, 63–79. doi: 10.1177/0305735607080834

CrossRef Full Text | Google Scholar

Osborne, M. S. (2013). “Maximising performance potential: the efficacy of a performance psychology program to reduce music performance anxiety and build resilience in adolescents” in Proceedings of the international symposium on performance science. 303–310. Available at: https://www.researchgate.net/publication/264240228_Maximising_performance_potential_The_efficacy_of_a_performance_psychology_program_to_reduce_music_performance_anxiety_and_build_resilience_in_adolescents

Google Scholar

Osborne, M. S., Greene, D. J., and Immel, D. T. (2014). Managing performance anxiety and improving mental skills in conservatoire students through performance psychology training: a pilot study. Psychol. Well-Being 4, 1–17. doi: 10.1186/s13612-014-0018-3

CrossRef Full Text | Google Scholar

Panadero, E. (2017). A review of self-regulated learning: six models and four directions for research. Front. Psychol. 8, 1–28. doi: 10.3389/fpsyg.2017.00422

CrossRef Full Text | Google Scholar

Parncutt, R. (2007). Systematic musicology and the history and future of western musical scholarship. J. Interdiscip. Music Stud. 1, 1–32.

Google Scholar

Parncutt, R., and Williamon, A. (2005). “Incorporating performance research into post-secondary music curricula: political and pedagogical strategies” in Proceedings of the ESCOM conference.

Google Scholar

Pecen, E., Collins, D., and MacNamara, Á. (2016). Music of the night: performance practitioner considerations for enhancement work in music. Sport Exerc. Perform. Psychol. 5, 377–395. doi: 10.1037/spy0000067

CrossRef Full Text | Google Scholar

Pecen, E., Collins, D. J., and MacNamara, Á. (2018). “It’s your problem. Deal with it.” Performers’ experiences of psychological challenges in music. Front. Psychol. 8, 1–17. doi: 10.3389/fpsyg.2017.02374

CrossRef Full Text | Google Scholar

Pekrun, R., Goetz, T., Titz, W., and Perry, R. P. (2002). Academic emotions in students’ self-regulated learning and achievement: a program of qualitative and quantitative research. Educ. Psychol. 37, 91–105. doi: 10.1207/S15326985EP3702_4

CrossRef Full Text | Google Scholar

Rae, G., and McCambridge, K. (2004). Correlates of performance anxiety in practical music exams. Psychol. Music 32, 432–439. doi: 10.1177/0305735604046100

CrossRef Full Text | Google Scholar

Reid, S. (2005). “Preparing for performance” in Musical performance. A guide to understanding. ed. J. Rink (Cambridge, UK: Cambridge University Press), 102–112.

Google Scholar

Rink, J., and Rink, P. J. (2002). Musical performance: A guide to understanding. Cambridge, UK: Cambridge University Press.

Google Scholar

Robson, C. (2011). Real world research: A resource for social-scientists and practitioner- researchers. 3rd Edn. Oxford, UK: Blackwell Publishing.

Google Scholar

Rochat, N., Hauw, D., Antonini Philippe, R., Crettaz von Roten, F. C., and Seifert, L. (2017). Comparison of vitality states of finishers and withdrawers in trail running: an enactive and phenomenological perspective. PLoS One 12, 1–24. doi: 10.1371/journal.pone.0173667

PubMed Abstract | CrossRef Full Text | Google Scholar

Ryan, R. M., and Deci, E. L. (eds.) (2002). “Overview of self-determination theory: an organismic-dialectical perspective” in Handbook of self-determination research (Rochester, NY: University of Rochester Press), 3–33.

Google Scholar

Ryan, R. M., and Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am. Psychol. 55, 68–78. doi: 10.1037/0003-066X.55.1.68

PubMed Abstract | CrossRef Full Text | Google Scholar

Sloboda, J. A. (2000). Individual differences in music performance. Trends Cogn. Sci. 4, 397–403. doi: 10.1016/S1364-6613(00)01531-X

PubMed Abstract | CrossRef Full Text | Google Scholar

Smith, B., and McGannon, K. R. (2018). Developing rigor in qualitative research: problems and opportunities within sport and exercise psychology. Int. Rev. Sport Exerc. Psychol. 11, 101–121. doi: 10.1080/1750984X.2017.1317357

CrossRef Full Text | Google Scholar

Spahn, C., Walther, J.-C., and Nusseck, M. (2016). The effectiveness of a multimodal concept of audition training for music students in coping with music performance anxiety. Psychol. Music 44, 893–909. doi: 10.1177/0305735615597484

CrossRef Full Text | Google Scholar

Stamer, R. A. (2004). Choral student perceptions of the music contest experience. Update Appl. Res. Music Educ. 22, 5–12. doi: 10.1177/87551233040220020102

PubMed Abstract | CrossRef Full Text | Google Scholar

Studer, R. K., Gomez, P., Hildebrandt, H., Arial, M., and Danuser, B. (2011). Stage fright: its experience as a problem and coping with it. Int. Arch. Occup. Environ. Health 84, 761–771. doi: 10.1007/s00420-010-0608-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Talbot-Honeck, C. (1994). Excellence in the performing arts: A study of elite conservatory musicians’ mental readiness to perform. Ottawa, ON: University of Ottawa.

Google Scholar

Theureau, J. (2010). Les entretiens d’autoconfrontation et de remise en situation par les traces matérielles et le programme de recherche « cours d’action ». RAC 4, 287–322. doi: 10.3917/rac.010.0287

CrossRef Full Text | Google Scholar

Theureau, J., and Jeffroy, F. (1994). Ergonomie des situations informatisées [Ergonomy in situations of computer use]. Toulouse, FR: Octarès.

Google Scholar

Thomson, P., and Jaque, V. (2017). Explorations in creativity research. Creativity and the performing artist: Behind the mask. San Diego, CA: Elsevier Academic Press.

Google Scholar

Upitis, R., Abrami, P. C., Brook, J., Troop, M., and Catalano, L. (2010). “Using ePEARL for music teaching: a case study” in Proceedings of the international association for scientific knowledge conference. 36–45. Available at: https://www.wintergreenstudios.com/wp-content/uploads/2010/07/ePEARL_Studio_paper-Upitis-et-al.pdf

Google Scholar

Weller, J. (2008). “Creating a life in music: theory to praxis” in Inside, outside, downside up. eds. D. Bennett and M. Hannan (San Fransisco, CA: Black Swan Press), 149–158.

Google Scholar

Weller, J. (2010). Transitioning to professional life in 29th ISME World Conference, August 1–6. Beijing, CHN.

Google Scholar

Wicinski, A. (1950). Psychological analysis of piano performer’s process of work on musical composition. Izviestia Akademii Piedagogiceskich Nauk Vyp 25, 171–215.

Google Scholar

Williamon, A. (2002). “Memorising music” in Musical performance: A guide to understanding. ed. J. Rink (Cambridge, UK: Cambridge University Press), 113–126.

Google Scholar

Williamon, A., Aufegger, L., and Eiholzer, H. (2014). Simulating and stimulating performance: introducing distributed simulation to enhance musical learning and performance. Front. Psychol. 5, 1–9. doi: 10.3389/fpsyg.2014.00025

PubMed Abstract | CrossRef Full Text | Google Scholar

Williamon, A., and Thompson, S. (2006). Awareness and incidence of health problems among conservatoire students. Psychol. Music 34, 411–430. doi: 10.1177/0305735606067150

CrossRef Full Text | Google Scholar

Williamon, A., and Valentine, E. (2000). Quantity and quality of musical practice as predictors of performance quality. Br. J. Psychol. 91, 353–376. doi: 10.1348/000712600161871

CrossRef Full Text | Google Scholar

Woody, R. H., Gilbert, D., and Laird, L. A. (2018). Music teacher dispositions: self-appraisals and values of university music students. J. Res. Music. Educ. 66, 111–125. doi: 10.1177/0022429418757220

CrossRef Full Text | Google Scholar

Zimmerman, B. J. (1998). “Developing self-fulfilling cycles of academic regulation: an analysis of exemplary instructional models” in Self-regulated learning: From teaching to self-reflective practice. eds. D. H. Schunk and B. J. Zimmerman (New York, NY: Guilford Publications), 1–19.

Google Scholar

Zimmerman, B. J. (2000). Self-efficacy: an essential motive to learn. Contemp. Educ. Psychol. 25, 82–91. doi: 10.1006/ceps.1999.1016

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: self-regulation learning, organization, music students, performance exam, Australia

Citation: Antonini Philippe R, Kosirnik C, Vuichoud N, Clark T, Williamon A and McPherson GE (2020) Conservatory Musicians’ Temporal Organization and Self-Regulation Processes in Preparing for a Music Exam. Front. Psychol. 11:89. doi: 10.3389/fpsyg.2020.00089

Received: 31 October 2019; Accepted: 13 January 2020;
Published: 03 February 2020.

Edited by:

Andrea Schiavio, University of Graz, Austria

Reviewed by:

Siw G. Nielsen, Norwegian Academy of Music, Norway
Roger Mantie, University of Toronto Scarborough, Canada

Copyright © 2020 Antonini Philippe, Kosirnik, Vuichoud, Clark, Williamon and McPherson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Roberta Antonini Philippe, roberta.antoniniphilippe@unil.ch

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.