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ORIGINAL RESEARCH article

Front. Med., 09 August 2023
Sec. Healthcare Professions Education

Influence of online collaborative learning on social network and academic performance of medical students: lessons learned from the COVID-19 pandemic

\r\nYan Zhou,&#x;Yan Zhou1,2†Xiaoming Xu,,&#x;Xiaoming Xu2,3,4†Johanna Schnrock-Adema,Johanna Schönrock-Adema2,5Jasperina BrouwerJasperina Brouwer6Nicolaas A. Bos*Nicolaas A. Bos2*Agnes D. DiemersAgnes D. Diemers2
  • 1Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, Zhejiang, China
  • 2Wenckebach Institute for Education and Training, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
  • 3International Institutes of Medicine, Zhejiang University, Yiwu, Zhejiang, China
  • 4The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang, China
  • 5Prins Claus Conservatorium, Hanze University of Applied Sciences, Groningen, Netherlands
  • 6Educational Sciences, Faculty Behavioural and Social Sciences, University of Groningen, Groningen, Netherlands

Introduction: The social distancing restrictions due to the COVID-19 pandemic have changed students’ learning environment and limited their social interactions. Therefore, the objective of this study was to investigate the influence of the social distancing restrictions on students’ social networks, wellbeing, and academic performance.

Methods: We performed a questionnaire study in which 102 students participated before and 167 students during the pandemic. They completed an online questionnaire about how they formed their five peer social networks (study-related support, collaboration, friendship, share information, and learn-from) out-of-class. We performed social network analysis to compare the sizes, structures, and compositions of students’ five social networks before and during the pandemic, between first- and second-year students, and between international and domestic students. Additionally, we performed Kruskal–Wallis H test to compare students’ academic performance before and during the pandemic. We performed thematic analysis to answers for two open-end questions in the online questionnaire to explore what difficulties students encountered during the COVID-19 pandemic and what support they needed.

Results: The results showed that the size of students’ social networks during the pandemic was significantly smaller than before the pandemic. Besides, the formation of social networks differed between first- and second-year students, and between domestic and international students. However, academic performance did not decline during the COVID-19 pandemic. Furthermore, we identified three key areas in which students experienced difficulties and needed support by thematic analysis: social connections and interactions, learning and studying, and physical and mental wellbeing.

Conclusion: When institutions implement learning with social distancing, such as online learning, they need to consider changes in students’ social networks and provide appropriate support.

Introduction

The COVID-19 pandemic not only had a significant impact on clinical care delivery, but also on the structure and delivery of medical education (14). Social distancing to control the COVID-19 pandemic limited social interactions, increased the risk of social isolation among students and, therefore, may have negatively influenced their social network formation and mental health (5, 6). It is well-known that social interactions strongly influence students’ learning engagement and academic performance (68). As with MOOCs (Massive Open Online Courses), where students in the same course can only contact fellow students by the Internet instead of face-to-face, the larger transactional distance may increase the communication cost and lead to low engagement and high demands on students’ motivation (911). Especially first-year university students who do not yet have social networks and start their studies during a pandemic requiring social distancing may encounter difficulties in establishing social networks and need additional support to help them cope with their new learning environment (12). To enhance educational institutions’ readiness for future situations in which students must maintain social distancing, it is important to know whether and how social distancing relates to medical students’ social network formation and academic performance.

Good relationships are considered one of the key elements of human environments in general and, more specifically, of qualitative good learning environments, in addition to goal direction and proper organization/regulation (1315). Besides, medical students need to train their competencies described in the CanMEDS framework to become good collaborators, scholars, and medical experts (16). In other words, medical students need to be lifelong learners and good team workers who are able to apply medical knowledge and clinical skills, willing to share their knowledge and experience, able to seek help from others, and learn from others to improve themselves. Interaction between students may be a prerequisite for developing these professional competencies: building good relationships with peers can help students function more effectively and facilitate their competency development and achievement of academic goals they would not have achieved otherwise (1721). However, at times when social distancing is required and opportunities for social interactions are limited, students have fewer opportunities to reach out and build social networks, which in turn may negatively affect their competency development and mental health (6, 7, 2124). The fact that the same group activities were designed both on-site (before-pandemic) and online (during-pandemic) allowed us to investigate the impact of social distancing on the formation of several types of social networks relevant to the development of medical students’ competencies and knowledge. Therefore, we aimed to investigate whether the social distancing measures actually limited the formation of social networks and students’ learning outcomes.

According to current literature, five types of social networks appear to be most relevant to medical students for developing competencies defined within the CanMEDS framework: (1) study-related support (help-seeking relationship within the study institution) (2528); (2) collaboration (academic collaboration for assignments or course-related tasks with peers from the same study institution) (29, 30); (3) friendship (friends from the same study institution) (3133); (4) information-sharing (study-related information sharing with peers from the same study institution) (9, 31); and (5) learn-from (peer role model from the same study institution) (27, 32). Existing studies on medical education during COVID-19 have focused on students’ perceptions of the pandemic (1, 34), technical resources, and differential access to online education (3436), however, they rarely addressed the formation of social networks. One of the few exemptions is the study by Elmer et al. (6), showing that interpersonal interactions and co-study networks became sparser during the pandemic and that more students were isolated in social networks (6). However, when students participate in online learning, social interaction positively impacts their self-directiveness via emotional and behavioral engagement aspects (37). It is necessary to understand how students’ social networks form when they have social distancing and to what extent their attributes relate to it. To our knowledge, research so far has rarely focused on how COVID-19 influenced the formation of different types of social networks. This study contributes to filling this gap by exploring the impact of social distancing with a focus on five types of social networks that may affect student learning and wellbeing in different ways.

Meanwhile, we are aware of possible differences between domestic and international students. On top of the challenges all students face in their academic life, a transition to online education and social distancing can have a negative impact on their social networks (3638). However, the impact may even be larger for international students who come to a foreign country where they experience language barriers and cultural differences (39, 40). Considering the challenges international students already face in building social networks with domestic students (41, 42), social distancing may even make it harder for them to build social relationships.

In a prior study, we performed just before the pandemic struck, we investigated social network formation and academic performance. Repeating this study during the pandemic would offer us a unique opportunity to examine whether and how social network formation and academic performance developed differently when students meet social distancing. In this study, we investigated to what extent social network formation during the pandemic differed between first- and second-year students, and between domestic and international students. Furthermore, using open-ended questions we investigated what difficulties students experienced when they studied and contacted others only online during the pandemic and what support they needed. In sum, our research questions were: (1) How did social distancing influence the social network formation and academic performance of first-year and second-year domestic and international medical students? (2) Which difficulties did students encounter during the COVID-19 pandemic and what kind of support did they need? We hoped that our research would shed light on the changes and challenges social distancing measures brought to medical students and provide recommendations for educational institutions to help their students thrive in a changing learning environment.

Materials and methods

Participants and data collection

This study was conducted in an undergraduate curriculum of a University Medical School in Netherlands. To explore the influence of social distancing on students’ social networks and academic performances, we compared social networks and academic performances of first- and second-year undergraduate students between the before-pandemic (in the academic year 2018-2019) and the during-pandemic cohorts (in the academic year 2020–2021). In 2019, 59 first-year and 43 second-year students participated, and in 2021, 102 first-year and 65 second-year students participated in this mixed methods social network study (Table 1). Notably, social distancing may be more problematic for the first-year students of the during-pandemic cohort since their first-year study took place almost entirely online. The second-year students, however, followed only part of their program online as their first-year study was on campus for half a year. After that, they followed the second half of the first academic year and the second year, 2020–2021, mostly online.

TABLE 1
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Table 1. Participant cohorts and demographics.

We collected three types of data. First, we used an online questionnaire to collect quantitative data about students’ social networks (see Supplementary Table 1). We asked students to fill in their IDs when filling out the questionnaire. In both 2019 and 2021, all participants received our online questionnaire via email. Secondly, using the ID information that participants provided in this online questionnaire, we collected data through the administration of the medical school on participants’ academic performance and on whether they were domestic students or international students. We used student IDs to match students’ nationalities, academic performance, and their social networks. Finally, we collected qualitative data using open-ended questions from the during-pandemic cohort about how students perceived the impact of COVID-19 on their interpersonal contacts and wellbeing.

Instruments

Social networks

We focused our study on five types of social networks, namely, study-related support, collaboration, friendship, information-sharing, and “learned-from” networks. To collect data about these five types of informal networks, we used the questionnaire by Zhou et al. (43), which was based on previous social network research (25, 43, 44) (see Supplementary Table 1). An example of a study-related support social network question is: “In the last semester, when I didn’t understand the study material, I discussed this with following senior students/teachers outside of class.” We asked students to fill in the names of fellow students with whom they had had regular contact outside of class during the past semester to indicate who they connected with for each of the five types of social networks. Students needed to type in the names of peers (up to a maximum of 25) they contacted. Students’ interactions with each other outside of curricular activities represent the types of social networks they were involved in.

Academic performance

We used written test scores as a measure of students’ academic performance. These written test scores came from curriculum-dependent tests to assess students’ medical knowledge. Per semester, students took 4–5 written tests consisting of multiple-choice questions of which the scores were aggregated to an overall test score at the end of that semester. The cut-off values were corrected for the variation in test difficulty by applying the Cohen-Schotanus method using the 1% best-scoring students as reference for the maximum score (45). The written test scores ranged from 1 (very poor) to 10 (excellent), with a passing score of 5.5 or higher. This study presented students’ academic performance in terms of semester average scores at the time point of the survey. All written tests, both before- and during-pandemic cohorts, were administered offline.

Domestic versus international students

We investigated whether the restrictions affected domestic and international students differently. We defined international students in this study as the students who moved to the Netherlands for their bachelor’s degree programme in Medicine.

Ethical approval

The before-pandemic social network study was approved by the Ethical Review Board of the Netherlands Association of Medical Education (NVMO), dossier number 2019.4.9. Ethical approval of during-pandemic survey was obtained from the Central Ethics Committee of the University Medical Center of Groningen (No. 20200869). Participation was voluntary and participants gave consent before answering the online questionnaire. Participants were also asked for informed consent to couple their academic results to their research ID.

Data analysis

We used mixed methods to investigate the COVID-19 pandemic influences. Firstly, we investigated whether social distancing influences first- and second-year students’ social network sizes and structures differently. Individual social network size in this study represents how many contacts the student has (the number of nominations provided). We calculated and compared the number using ANOVA. Besides, we conducted descriptive Social Network Analysis (SNA) in terms of degree centrality and investigated the social network structure differences by calculating and comparing the indegree and outdegree centrality. The indegree centrality presents incoming connections (popularity) while the outdegree centrality presents outgoing connections (activity) (46). Higher centrality refers to individuals who have a more dominant position in their social networks, which means that some individuals are influencers, popular, and connected to many others.

Secondly, we investigated whether social distancing has different effects on domestic and international students in terms of social network size and composition by comparing their individual network sizes and the External-Internal (E-I) index between domestic and international students. The E-I index measures similarity by comparing the number of connections of group members with the same background characteristics with those of group members with different background characteristics (47). The index ranges from −1 (all connections are within domestic or international students) to + 1 (all connections are between domestic and international students) (48). We used the UCINET 6.690 software package (Analytic Technologies, Harvard, MA, USA, 2002) to perform the network analysis (49).

Thirdly, to compare medical students’ academic performance between before- and during-pandemic cohorts, we analyzed the written test scores of all first- and second-year students using the Kruskal–Wallis H test, since their written test scores were not normally distributed. The SPSS 26.0 program was used for academic performance comparison (50).

At last, to understand what difficulties students encountered during the COVID-19 pandemic and what support they needed, we used thematic analysis according to Braun and Clark to analyze students’ answers to open-ended questions (51). Firstly, two members of our research team (YZ and XX) read all students’ answers to familiarize themselves with the data. Then, YZ and XX generated initial themes and discussed the potential themes with other members of the research team (YZ, XX, AD, and NB), during which we established preliminary themes before coding. Consecutively, YZ and XX started coding the open-ended questions iteratively and independently by use of ATLAS.ti (52) Web (Version 3.15.0-2022-03-09). After coding 20 students’ answers, YZ and XX discussed their codes until they reached a consensus about the codes. To ensure the reliability of the code, they were discussed with another team member (AD). Then YZ and XX coded another 20 students’ answers and again discussed the codes until they reached a consensus within the team. They repeated this process until they established the final coding tree and coded all students’ answers accordingly. After coding students’ answers, YZ and XX determined if the codes suited the preliminary defined themes. To ensure consistency, AD once more reviewed the codes and the themes. YZ, XX, and AD finally discussed the findings which resulted in 3 main themes with their subthemes. These were discussed within the research team and supported by illustrative quotes.

Results

Social network size before and during the COVID-19 pandemic

Social network size comparison between first- and second-year medical students

The investigation into social network size showed that in general, first- and second-year medical students from the during-pandemic cohorts had significantly smaller individual network sizes than students from the before-pandemic cohorts [see Table 2; p < 0.05 for each of the networks, with medium or large effects (Supplementary Table 2)]. Closer inspection shows that before the pandemic, first-year students had larger networks than second-year students, except for the collaboration network, whereas during the pandemic, first- and second-year students tended to have social networks of similar sizes. Comparing the five types of social networks, the friendship network was the largest one before the pandemic, while during the pandemic, the largest network was the study-related support network.

TABLE 2
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Table 2. Average individual network size of students before and during COVID-19 considering students’ nationalities.

Social network size comparison between domestic and international students

The comparison of domestic and international students’ social networks showed that first-year international students had larger individual social network sizes than first-year domestic students except for the study-related support network in both the before- and during-pandemic cohorts (see Table 2). Regarding the second year, before COVID-19, international students had larger friendship and information sharing networks than domestic students, but not during COVID-19.

Students reporting no social interactions at all

During the pandemic, more students reported that they had no social interactions at all with peers in one or more social network types. Before the pandemic, only two students (2%) reported that they did not have a study-related support network outside of class, six students (6%) reported that they had no collaboration network, only one student (1%) reported that he/she had no friendship network, nine students (9%) reported that they had no information sharing network, and twenty-two students (22%) reported that they had no learn-from network. In comparison, during the pandemic, twelve students (7%), twenty-seven students (16%), twenty-four students (14%), thirty-seven students (22%), and fifty-eight students (35%) reported having no social networks in those five types, respectively.

Social network structure of first- and second-year medical students

The indegree and outdegree centrality results showed that in “share information” network, the percentages between first- and second-year students were similar for before- and during-pandemic cohorts. It means some students were important sources for sending and receiving information regardless of the influence of the pandemic. However, the other four social networks presented differences between before- and during-pandemic cohorts, and between first- and second-year students. There is less centrality during the pandemic for the social networks such as friendship and collaboration, especially for first-year students (see Table 3). This means that, during the pandemic, first-year students (or influencers) were less dominant in their social networks than the first-year students who started before the pandemic. In contrast, second-year students of the during-pandemic cohort showed similar or even higher centrality than the before-pandemic cohort. This outcome indicates that when students started their studies with social distancing, it is difficult to have influencers in their social networks. Thus, the restrictions seemed to have a stronger negative impact on first-year students than on second-year students.

TABLE 3
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Table 3. Indegree and outdegree of first- and second-year students’ social networks before and during the pandemic.

Social network composition of domestic and international students

To investigate how much the international and domestic students mingled, we calculated the average E-I index of students’ social networks during the pandemic (see Table 4). The E-I index indicates whether students were more connected to others with similar characteristics. In general, second-year students tend somewhat more than first-year students toward connecting with peers with similar background characteristics (domestic or international). Meanwhile, domestic students are more likely than international students to connect with peers from similar backgrounds (domestic and international, respectively). It implies that although international students prefer to connect with other international students, international students had relatively more connections with domestic students than vice versa.

TABLE 4
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Table 4. Average E-I index of nationality as an attribute to form social networks among first and second year domestic and international students during COVID-19.

Influence of COVID-19 pandemic restrictions on academic performance

Our investigation of medical students’ academic performance before and during the pandemic revealed that - during the pandemic - significantly more first-year students (89.11%) passed the written tests than before the pandemic (83.77%; p < 0.05). Although the same tendency was found for second-year students (88.52% vs. 85.19%), this difference was not significant.

The first- and second-year students during the pandemic achieved significantly higher grades [M(SD) 6.54 (1.02), 95% CI (6.44, 6.63) and 6.69 (0.69), 95% CI (6.61, 6.77), respectively) than their counterparts from before the pandemic [M(SD) 6.33 (0.85), 95% CI [6.25, 6.41], and 6.51 (0.65), 95% CI (6.45, 6.58), respectively] (p < 0.001).

Difficulties students encountered due to the COVID-19 pandemic restrictions and support they need

Based on our thematic analysis to analyze the answers to the open-ended questions: “What kind of difficulties did you meet when you interacted with other students or faculty during COVID time?” and “Do you need any extra support or what kind of extra support do you expect from our medical school?,” we identified three main themes: social connections and interactions, learning and studying, and physical and mental wellbeing. Under each main theme, we identified a corresponding subtheme “support,” and besides, we identified one additional subtheme “communication” under social connections and interactions. In total, 140 students (84% of total participants) reported difficulties, of whom 132 (94%) mentioned social connectiveness and interactions, 37 (26%) mentioned learning and studying, and 14 (10%) mentioned physical and mental wellbeing. We describe the themes below and in Table 5, we support our findings with illustrative quotes.

TABLE 5
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Table 5. Quotes illustrating difficulties of students’ interactions during the pandemic and the support they need.

Social connections and interactions

Due to the pandemic and social distancing, students had no or limited on-site contact with other students, either in or outside of school. Moreover, the students felt they had no other way to meet or contact new people, since everything was closed, like bars, the university, and its libraries. In their opinion, on-site contact is necessary to make new friends. The transition to online learning activities in small groups did not facilitate building social relationships either. In those cases where students did start relationships, the contacts remained superficial or they lost contact with each other. Some did not make any friends at all and others even lost friends. They felt they really had to make an effort to make friends or stay connected because they had to make appointments with peers instead of automatically meeting new friends in college as they used to. Two students also mentioned that because they worked in healthcare, they stopped interacting with others in groups since they did not want to bring risks to their patients. For instance, “Another obstacle is my work in healthcare. I work in a nursing home and because of this I don’t want to take too many risks and I have as few contacts as possible (unfortunately).” (Y1D344).

Communication

Communication played an important role in how the students tried to build connections with their peers. They found online communication less personal and missed the small talk between lectures. “There is no room for “small talk” if you don’t see each other outside of lessons.” (Y1D101) When they did contact each other online, most of the time they were talking about academic issues, such as group assignments. Besides, students described that they encountered difficulties in communicating with faculty, which was mostly done by e-mail. Students felt barriers to communicating in this way since they often had to wait a long time for responses from teachers and faculty and they felt uncomfortable mailing to professors and teachers they did not know well. Some students on the other hand felt the contact with teachers and staff was good. They felt welcomed which encouraged them to interact. Besides mail, the students used other communication tools, such as WhatsApp, telephone, and Google meet. Some of them found this helpful and did not need anything else, others felt they had to exert more effort to stay connected.

Social support

Although students realized that not much could be done to foster social connectedness due to the COVID-19 restrictions, they offered some nice suggestions to facilitate social support, for instance organizing a free online art course with students from different faculties, with as many on-site sessions as possible as they just wanted activities through which they could meet their peers. Two teachers organized a “chatting” webinar, during which students could just chat with the teachers, which was highly appreciated. As one student mentioned: “Non-mandatory seminars could be a godsend and a nice stimulus for discussion for students who don’t have many social contacts these days. For example, in the beginning of the pandemic, a “just-chatting” webinar was arranged that was not about a specific topic but where students could just chat with [the teachers].” (Y2D510).

Learning and studying

Whereas some students thought the online courses and small groups were just fine, others felt that the group learning activities online lacked efficiency and fun. Besides, students thought that the small group composition remaining the same through the semester (where normally this would change two times per semester) hindered them from building new social relationships. Meanwhile, however, some students thought that changing the small group compositions more often may not be good for strengthening their peer relationships. They felt that after they finally had built up bonds with some peers, they, unfortunately, had to switch to another group.

Educational support

Students expected the Medical School to offer them more educational support. Some students reported that they actively sought help from the study advisors. Others contacted their tutors. Since students felt they were easily distracted when studying at home, they indicated that opening the University Library would have helped as well to get the motivation to study together with peers and as a place to make friends. Specifically, the international students wished for more understanding and compassion for their situation: far away from home and their relatives. They felt they could not return to their home country, because they had to perform written tests on-site. They would have preferred online exams so that they would have been able to return to their families.

Physical and mental wellbeing

Students experienced negative feelings during the pandemic, like loneliness, feeling lost, stress, sadness, and depression. Specifically, first-year and international students reported feeling lost in a new city, with no idea what was being expected from them and without any comparison concerning the performances of their peers. Students thought this affected their studying and study results negatively. For example, a student said: “I notice that since I moved to Groningen I feel very “alone” there. (…) Because of this, I do notice that I find the uncertain future of my social student life.” (Y1D338).

Mental support

Students also mentioned they needed psychological or mental support to deal with their emotions. Several reported that they actively sought help by consulting a psychologist.

Discussion

In this study, we investigated the influence of social distancing on first- and second-year, international and domestic medical undergraduate students’ social network size, structure, composition, and their academic performance. We found that students in the during-pandemic cohort had much smaller individual social network sizes (they contacted fewer peers) than those in the before-pandemic cohort. Social distancing impacted five types of social networks in different ways.

First of all, social distancing restricted students’ social network formation. It reflects the importance of on-site social interactions for peer relationship formation. We noticed that students who had no connections with peers before the pandemic experienced more difficulties in establishing their social networks, particularly friendship networks. When students meet unfamiliar fellow students in the classroom, corridor, or library, they may have a small talk and then start a relationship. But it is difficult for students to have time to start a small talk during online learning, without group activities or faculty’s help, students hardly broaden their social networks, which is common in MOOCs courses (53, 54). Researchers focusing on online learning already tried to facilitate the interaction between students by using online groups or peer feedback activities, such as Facebook groups or audio peer assessment, to improve students’ learning engagement and management, though it still differs from on-site social communication (55, 56). Institutions should notice the differences between on-site and online interactions, especially social interactions, and the importance of providing various online social events for students when they study with social distancing.

The pandemic restrictions limited students’ chances of attending on-site activities and hampered their social network formation, which was reflected in the smaller size of first- and second-year students’ study-related support, friendship, and information-sharing networks during the pandemic than before. The impact of the restrictions on the social network structure was greater for first year students than for second year students. This suggests that second year students could probably more rely on already established networks. Further analysis would require a longitudinal study to follow the further development of networks (57). Although students could contact their peers via social media or online learning activities, they found it hard to get to know others and make friends through online communication. It may be due to students having problems recognizing their social situations when they are not familiar with their fellow students (58). In addition, it is common that students close their cameras and mute their microphones during online education, which leads to the lack of social cues in synchronous online communication and raises difficulties for students to get acquainted with their classmates (59). In a social distancing learning environment, students may prefer to turn off their cameras due to a psychologically unsafe environment (60). Therefore, in this situation, teachers need to spend some time letting students become familiar with the environment and peers, to increase the feeling of safety, and emphasize the role of turning on the camera.

The online learning activities limited the number of peers they met as well, and students found it challenging to maintain relationships this way. Our qualitative findings supported the findings of previous quantitative studies, showing that students experienced mental difficulties, such as feelings of loneliness, depression, stress, and lowered motivation (6, 2123, 61). Considering that friendship is an important resource of psychosocial support that helps students deal with their negative emotions and stress (15, 62, 63), smaller friendship networks may increase students’ mental health problems. Our qualitative results show that international students may have stronger motivations than the domestics to establish new social networks in a foreign country. However, the social restrictions provided them limited opportunities to do so. The much smaller sizes of international students’ friendship networks during the pandemic compared to before the pandemic may indicate that these students have experienced even more difficulties during the pandemic. For instance, international students experienced unique difficulties: living alone in a foreign country without physical social activities made them long for more understanding and support, which is in line with Elmer’s finding that online communication limits students’ opportunities to maintain and develop new social connections to a great extent (6). Our study reminds institutions to be aware of the diversity of students’ backgrounds and take this into account when designing group activities.

Surprisingly, we found that students’ written test scores in the during-pandemic cohorts were higher than those of the before-pandemic cohorts using the same assessment method. These findings are in contrast with previous findings indicating that students who studied online received lower scores than students who studied on-site (7). Possible explanations for this may be that students had more time to prepare for their exams because they had fewer opportunities to participate in social activities or that students were able to repeatedly watch lectures because they were given online and videotaped. Another explanation may be that medical students facing the change caused by the pandemic came to realize the value of medical knowledge and, therefore, may have been motivated to study. A fourth explanation that is supported by the results of the open-ended questions may be that teachers have delivered the educational content in a more efficient way through online education, which reflects the advantages of MOOCs, or blended learning (64). Mortagy et al. (65) also support the potential benefits of online learning though their national investigation (65). Students’ scores on the written knowledge test indicate that goal direction, one of the three key elements of good learning environments (13, 14, 66), was well taken care of in the online learning setting. Besides, the effectiveness of blended learning was also supported by Vallée et al. (67) through their systematic review. However, both the smaller size and different structure of collaboration networks during the pandemic and the result of our qualitative analysis reflect students’ difficulties in online collaboration in and out of class, especially when they do not yet have peer social networks. To ensure that students thrive in an online learning environment, it is important to enable them to build good relationships and organization/regulation, the other two key elements of good learning environments (13, 14, 66), that play essential roles in students’ wellbeing and development of competencies. Therefore, when students study with social distancing, it is important for institutions/administrations to realize the necessity to build and maintain good relationships between students. They should create some opportunities for students to do social interactions, and revise the formation of group activities in curriculum design to maintain students’ peer interactions.

Strengths, limitations and future study

The first strength of this study is that we investigated social network formation and academic performance just before the pandemic struck (i.e., under regular conditions where, as usual, group activities took place on site), which allowed us to examine the impact of social distancing measures during the pandemic on students’ social networks formation while keeping the curriculum design otherwise constant. Our study contributes to the understanding of the effect of online learning and social distancing on informal peer relationship formation and students’ learning experience. It will help curriculum designers of online courses notice the importance of improving students’ social interactions to benefit their learning processes. Besides, the fact that the same group activities were conducted in both on-site and online education may contribute to understanding how group activities influence social network formation in both on-site and online education. In addition, we have taken student attributes into account in this study, such as sex, nationality, and grades. Our results may help curriculum designers to develop their program design considering how to improve students’ familiarity through diverse online social activities.

This study has some limitations: First, although academic performance also includes competency performance, we did not include competency development in our study because it is difficult to quantify the assessment of competency development through short-term testing. To have a comprehensive insight into the impact of social distancing on students’ academic performance development and peer relationship formation, future research might also address competency assessment, and further investigate whether there are any long-term effects of the pandemic on students’ academic performance and social network formation. Second, the participants in our study were all from one medical school in the Netherlands. Collaborative research involving multiple medical schools might have led to more robust results. Third, differences in students’ characteristics, such as sex, may also lead to differences in students’ social networks. Future research could further take sex differences into account.

Practical implications

It is known that communication and social networks should be central elements in a distributed learning environment (68). Understanding the patterns in students’ social network formation during the COVID-19 pandemic may help higher education institutions improve the quality of the online learning environments, in particular by promoting students’ interactions and social network formation (i.e., key element relationships), and ensuring the quality of education.

Drawing from the results of this study, we make the following recommendations:

First, online interactions differ from on-site interactions, particularly on social relationship formation. Therefore, in case of social isolation, we recommend educational institutions to attempt to avoid the lack of social connections by organizing more social events and focusing more on study-related support, friendship, and information sharing social networks when students face social distancing. This also works for online learning courses. If students meet difficulties in peer relationship formation, institutions need to consider more ways inside and outside the formal curriculum to assist students, such as “just-chatting” webinars for students from diverse cultural backgrounds. When these kinds of social activities are still online, organizers need to take measures to increase students’ feeling of safety and make sure all participants turn on their cameras and do not mute during the process.

Secondly, since small online groups were critical resources for students’ social interactions during the pandemic, which also applies to online distance courses such as MOOCs courses, institutions may consider adding various of group activities in curriculum design to maintain students’ peer interactions. Institutions could let students indicate whether they would like to stay in the same group or switch to another group during group activities as well, so tailor the organization more to the students’ preferences.

Thirdly, since students indicated to have experienced problems with their mental health during the pandemic, educational institutions should not only focus on academic performance but also consider wellbeing in a broader sense (24, 69). Educational institutions need to be mindful of their students’ mental wellbeing and provide easy access to find social, educational, and mental support when they need it. Especially for first-year students, formal curriculum and social contacts are important resources for forming peer relationships (12). Besides, institutions should be aware of the diversity of students’ backgrounds, and provide more attention to international students at times when the learning environment is changing dramatically and when distributing students into online learning groups, which is in line with other literature (69, 70).

Conclusion

This study compared the social network size, structure, and composition of pre-pandemic and during-pandemic cohorts of medical students. The results showed that the size of students’ social networks was smaller during than before the COVID-19 pandemic, especially their friendship network. First-year students perceived more severe challenges than second-year students, and international students experienced a greater impact of the pandemic than domestic students. Although students faced difficulties in social network formation during the pandemic, their academic performance was higher than that of students in the before-pandemic cohort. When institutions are forced to implement blended or online learning during, for instance, pandemics or other situations of force majeure, they need to ensure to create a conducive learning environment by considering social, educational, and mental support to compensate for shortcomings caused by shrinking social networks of their students.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

YZ collected the data. NB supervised the data collection. YZ and XX organized the data according to the planned analyzes and carried out and wrote the manuscript. AD supervised the especially the qualitative analysis and interpretation. NB, JS-A, AD, and JB improved the data interpretation and revised the manuscript. All the authors made substantial contributions to the research design, the data collection, the interpretation of the data, the manuscript writing, and have also substantively revised it and read and approved the submitted the manuscript.

Funding

YZ was supported by a grant of the Chinese Scholarship Council (No. 201609110118). The funding provided a fellowship to YZ to do her Ph.D study in Netherlands. XX was also supported by a grant of the Chinese Scholarship Council (No. 201806140196). The funding provided a fellowship to XX to do her Ph.D study in Netherlands. The CSC has no influence on the setup of the study or on the outcomes of the data. Research time of JB is funded by Dutch Research Council (VI. Veni. 191S.010).

Acknowledgments

We would like to thank all anonymous participants of the University Medical Center of Groningen for their participation and Tineke Bouwkamp-Timmer for editorial help.

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.

Publisher’s note

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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2023.1242638/full#supplementary-material

References

1. Alsoufi A, Alsuyihili A, Msherghi A, Elhadi A, Atiyah H, Ashini A, et al. Impact of the COVID-19 pandemic on medical education: medical students’ knowledge, attitudes, and practices regarding electronic learning. PLoS One. (2020) 15:e0242905. doi: 10.1371/JOURNAL.PONE.0242905

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Bhagat S, Kim D. Higher education amidst COVID-19: challenges and silver lining. Inf Syst Manag. (2020) 37:366–71. doi: 10.1080/10580530.2020.1824040

CrossRef Full Text | Google Scholar

3. Ferrel M, Ryan J. The impact of COVID-19 on medical education. Cureus. (2020) 12:7492. doi: 10.7759/CUREUS.7492

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kaul V, Gallo de Moraes A, Khateeb D, Greenstein Y, Winter G, Chae J, et al. Medical education during the COVID-19 pandemic. Chest. (2021) 159:1949–60.

Google Scholar

5. Bavel J, Baicker K, Boggio P, Capraro V, Cichocka A, Cikara M, et al. Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav. (2020) 4:460–71. doi: 10.1038/s41562-020-0884-z

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Elmer T, Mepham K, Stadtfeld C. Students under lockdown: comparisons of students’ social networks and mental health before and during the COVID-19 crisis in Switzerland. PLoS One. (2020) 15:e0236337. doi: 10.1371/journal.pone.0236337

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Francis M, Wormington S, Hulleman C. The costs of online learning: examining differences in motivation and academic outcomes in online and face-to-face community college developmental mathematics courses. Front Psychol. (2019) 10:2054. doi: 10.3389/fpsyg.2019.02054

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Keren D, Lockyer J, Ellaway R. Social studying and learning among medical students: a scoping review. Perspect Med Educ. (2017) 6:311–8. doi: 10.1007/s40037-017-0358-9

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Chen B, Wang F, Song J. Are they connected? Exploring academic and social networks among MPA students at a Chinese university. J Public Aff Educ. (2018) 18:137–56. doi: 10.1080/15236803.2012.12001675

CrossRef Full Text | Google Scholar

10. Norberg A. Blended learning and new education logistics in Northern Sweden. In: Oblinger D editor. Game changers: education and information technologies. Boulder, CO: Educause (2012). p. 327–30.

Google Scholar

11. Moore M. The theory of transactional distance. In: Keegan D editor. Handbook of distance education. New York, NY: Routledge (2013). p. 84–103.

Google Scholar

12. Kangas J, Rantanen E, Kettunen L. How to facilitate freshmen learning and support their transition to a university study environment. Eur J Eng Educ. (2017) 42:668–83. doi: 10.1080/03043797.2016.1214818

CrossRef Full Text | Google Scholar

13. Moos R. Conceptualizations of human environments. Am Psychol. (1973) 28:652–65. doi: 10.1037/H0035722

CrossRef Full Text | Google Scholar

14. Schönrock-Adema J, Bouwkamp-Timmer T, van Hell E, Cohen-Schotanus J. Key elements in assessing the educational environment: where is the theory? Adv Health Sci Educ. (2012) 17:727–42.

Google Scholar

15. Tomás-Miquel J, Expósito-Langa M, Nicolau-Juliá D. The influence of relationship networks on academic performance in higher education: a comparative study between students of a creative and a non-creative discipline. High Educ. (2016) 71:307–22.

Google Scholar

16. Frank J, Snell L, Sherbino J. CanMEDS 2015 physician competency framework. Ottawa, ON: Royal College of Physicians and Surgeons of Canada (2015).

Google Scholar

17. Adler P, Kwon S. Social capital: prospects for a new concept. Acad Manage Rev. (2002) 27:17–40. doi: 10.5465/AMR.2002.5922314

CrossRef Full Text | Google Scholar

18. Coleman J. Social capital in the creation of human capital. Am J Sociol. (1988) 94:S95–120. doi: 10.1086/228943

CrossRef Full Text | Google Scholar

19. Coleman J. The rational reconstruction of society: 1992 presidential address. Am Sociol Rev. (1993) 58:1–15.

Google Scholar

20. Lin N, Erickson B editors. Social capital: an international research program. New York, NY: Oxford university press (2008).

Google Scholar

21. Chaturvedi K, Vishwakarma D, Singh N. COVID-19 and its impact on education, social life and mental health of students: a survey. Child Youth Serv Rev. (2021) 121:105866. doi: 10.1016/J.CHILDYOUTH.2020.105866

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Li Y, Zhao J, Ma Z, McReynolds L, Lin D, Chen Z, et al. Mental health among college students during the COVID-19 pandemic in China: a 2-wave longitudinal survey. J Affect Disord. (2021) 281:597–604. doi: 10.1016/J.JAD.2020.11.109

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Savage M, James R, Magistro D, Donaldson J, Healy L, Nevill M, et al. Mental health and movement behaviour during the COVID-19 pandemic in UK university students: prospective cohort study. Ment Health Phys Act. (2020) 19:100357. doi: 10.1016/J.MHPA.2020.100357

CrossRef Full Text | Google Scholar

24. Zapata-Cuervo N, Montes-Guerra M, Shin H, Jeong M, Cho M. Students’ psychological perceptions toward online learning engagement and outcomes during the COVID-19 pandemic: a comparative analysis of students in three different countries. J Hosp Tour Educ. (2021) 35:108–122. doi: 10.1080/10963758.2021.1907195

CrossRef Full Text | Google Scholar

25. Brouwer J, Jansen E, Flache A, Hofman A. The impact of social capital on self-efficacy and study success among first-year university students. Learn Individ Differ. (2016) 52:109–18. doi: 10.1016/j.lindif.2016.09.016

CrossRef Full Text | Google Scholar

26. Nebus J. Building collegial information networks: a theory of advice network generation. Acad Manage Rev. (2006) 31:615–37. doi: 10.5465/AMR.2006.21318921

CrossRef Full Text | Google Scholar

27. Smith R, Peterson B. “Psst. what do you think?” the relationship between advice prestige, type of advice, and academic performance. Commun Educ. (2007) 56:278–91. doi: 10.1080/03634520701364890

CrossRef Full Text | Google Scholar

28. Stadtfeld C, Vörös A, Elmer T, Boda Z, Raabe I. Integration in emerging social networks explains academic failure and success. Proc Nati Acad Sci USA. (2019) 116:792–7. doi: 10.1073/pnas.1811388115

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Brouwer J, Flache A, Jansen E, Hofman A, Steglich C. Emergent achievement segregation in freshmen learning community networks. High Educ. (2018) 76:483–500. doi: 10.1007/s10734-017-0221-2

CrossRef Full Text | Google Scholar

30. Zander L, Brouwer J, Jansen E, Crayen C, Hannover B. Academic self-efficacy, growth mindsets, and university students’ integration in academic and social support networks. Learn Individ Differ. (2018) 62:98–107. doi: 10.1016/j.lindif.2018.01.012

CrossRef Full Text | Google Scholar

31. Hommes J, Van den Bossche P, de Grave W, Bos G, Schuwirth L, Scherpbier A. Understanding the effects of time on collaborative learning processes in problem based learning: a mixed methods study. Adv Health Sci Educ. (2014) 19:541–63. doi: 10.1007/s10459-013-9487-z

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lomi A, Snijders T, Steglich C, Torló V. Why are some more peer than others? Evidence from a longitudinal study of social networks and individual academic performance. Soc Sci Res. (2011) 40:1506–20. doi: 10.1016/j.ssresearch.2011.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Rienties B, Héliot Y, Jindal-Snape D. Understanding social learning relations of international students in a large classroom using social network analysis. High Educ. (2013) 66:489–504. doi: 10.1007/s10734-013-9617-9

CrossRef Full Text | Google Scholar

34. Dedeilia A, Sotiropoulos M, Hanrahan J, Hanga D, Dedeilias P, Sideris M. Medical and surgical education challenges and innovations in the COVID-19 era: a systematic review. In Vivo. (2020) 34:1603–11. doi: 10.21873/INVIVO.11950

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Rajab M, Gazal A, Alkattan K. Challenges to online medical education during the COVID-19 pandemic. Cureus. (2020) 12:e8966. doi: 10.7759/cureus.8966

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Treve M. What COVID-19 has introduced into education: challenges facing higher education institutions (HEIs). High Educ Pedagog. (2021) 6:212–27. doi: 10.1080/23752696.2021.1951616

CrossRef Full Text | Google Scholar

37. Gherghel C, Yasuda S, Kita Y. Interaction during online classes fosters engagement with learning and self-directed study both in the first and second years of the COVID-19 pandemic. Compu Educ. (2023) 200:104795. doi: 10.1016/j.compedu.2023.104795

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Harrison N, Peacock N. Cultural distance, mindfulness and passive xenophobia: using integrated threat theory to explore home higher education students’ perspectives on ‘internationalisation at home’. Br Educ Res J. (2009) 36:877–902. doi: 10.1080/01411920903191047

CrossRef Full Text | Google Scholar

39. Elturki E, Liu Y, Hjeltness J, Hellmann K. Needs, expectations, and experiences of international students in pathway program in the United States. J Int Stud. (2019) 9:192–210. doi: 10.32674/JIS.V9I1.274

CrossRef Full Text | Google Scholar

40. Wang Q, Hannes K. Academic and socio-cultural adjustment among Asian international students in the Flemish community of Belgium: a photovoice project. Int J Intercult Relat. (2014) 39:66–81. doi: 10.1016/j.ijintrel.2013.09.013

CrossRef Full Text | Google Scholar

41. Gareis E. Intercultural friendship: effects of home and host region. J Int Intercult Commun. (2012) 5:309–28. doi: 10.1080/17513057.2012.691525

CrossRef Full Text | Google Scholar

42. Schartner A. ‘You cannot talk with all of the strangers in a pub’: a longitudinal case study of international postgraduate students’ social ties at a British university. High Educ. (2015) 69:225–41. doi: 10.1007/s10734-014-9771-8

CrossRef Full Text | Google Scholar

43. Zhou Y, Bos N, Diemers A, Brouwer J. A social network perspective on peer relationship formation of medical undergraduates within large-scale learning communities. Med Educ Online. (2023) 28:2162253. doi: 10.1080/10872981.2022.2162253

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Van de Bunt G, Van Duijn M, Snijders T. Friendship networks through time: an actor-oriented dynamic statistical network model. Comput Math Organ Theory. (1999) 5:167–92.

Google Scholar

45. Cohen-Schotanus J, Van Der Vleuten C. A standard setting method with the best performing students as point of reference: practical and affordable. Med Teach. (2010) 32:154–60. doi: 10.3109/01421590903196979

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Du D. Social network analysis: centrality measures. Fredericton, NB: University of New Brunswick (2019).

Google Scholar

47. Borgatti S, Everett M, Johnson J. Analyzing social networks. Thousand Oaks, CA: Sage Publications (2018).

Google Scholar

48. Hanneman RA, Riddle M, Robert A. Introduction to social network methods. Riverside, CA: University of California, Riverside (2005).

Google Scholar

49. Borgatti S, Everett M, Freeman L. Ucinet 6 for windows: software for social network analysis. Harvard, MA: Analytic Technologies (2002).

Google Scholar

50. IBM Corp. IBM SPSS statistics for windows, version 26.0. Armonk, NY: IBM Corp (2019).

Google Scholar

51. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. (2006) 3:77–101. doi: 10.1191/1478088706QP063OA

PubMed Abstract | CrossRef Full Text | Google Scholar

52. ATLAS.ti,. Scientific software development GmbH [ATLAS.ti web, v3.15.0]. (2022). Available online at: https://atlasti.com (accessed May 10, 2021).

Google Scholar

53. Larivière-Bastien D, Aubuchon O, Blondin A, Dupont D, Libenstein J, Séguin F, et al. Children’s perspectives on friendships and socialization during the COVID-19 pandemic: a qualitative approach. Child Care Health Dev. (2022) 48:1017–30. doi: 10.1111/cch.12998

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Zou W, Hu X, Pan Z, Li C, Cai Y, Liu M. Exploring the relationship between social presence and learners’ prestige in MOOC discussion forums using automated content analysis and social network analysis. Comput Hum Behav. (2021) 115:106582. doi: 10.1016/j.chb.2020.106582

CrossRef Full Text | Google Scholar

55. Filius R, De Kleijn R, Uijl S, Prins F, Van Rijen H, Grobbee D. Audio peer feedback to promote deep learning in online education. J Comput Assist Learn. (2019) 35:607–19. doi: 10.1111/jcal.12363

CrossRef Full Text | Google Scholar

56. Wang Q, Woo H, Quek C, Yang Y, Liu M. Using the Facebook group as a learning management system: an exploratory study. Br J Educ Technol. (2012) 43:428–38. doi: 10.1111/j.1467-8535.2011.01195.x

CrossRef Full Text | Google Scholar

57. Brouwer J, De Matos Fernandes C, Steglich C, Jansen E, Hofman W, Flache A. The development of peer networks and academic performance in learning communities in higher education. Learn Instr. (2022) 80:101603. doi: 10.1016/j.learninstruc.2022.101603

CrossRef Full Text | Google Scholar

58. Barbour M, LaBonte R, Hodges C, Moore S, Lockee B, Trust T, et al. Understanding pandemic pedagogy: differences between emergency remote, remote, and online teaching. State of the nation: K-12 e-learning in Canada. (2020). Available online at: https://vtechworks.lib.vt.edu/handle/10919/101905 (accessed December 12, 2022).

Google Scholar

59. McLeod E, Gupta S. The role of psychological safety in enhancing medical students’ engagement in online synchronous learning. Med Sci Educ. (2023) 33:423–30.

Google Scholar

60. McGrane A. A pandemic instructional challenge: cameras and little black squares. In: Power R, editor. Integration of instructional design and technology: volume 2. Sydney, NS: Power Learning Solutions (2022).

Google Scholar

61. Lukoševičiūtė J, Šmigelskas K. Mental health during COVID-19 pandemic: qualitative perceptions among lithuanian adolescents. Int J Environ Res Public Health. (2022) 19:7086. doi: 10.3390/ijerph19127086

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Ibarra H. Race, opportunity, and diversity of social circles in managerial networks. Acad Manage J. (1995) 38:673–703. doi: 10.5465/256742

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Wilcox P, Winn S, Fyvie-Gauld M. “It was nothing to do with the university, it was just the people”: the role of social support in the first-year experience of higher education. Stud High Educ. (2005) 30:707–22. doi: 10.1080/03075070500340036

CrossRef Full Text | Google Scholar

64. Jou Y, Mariñas K, Saflor C. Assessing cognitive factors of modular distance learning of K-12 students amidst the COVID-19 pandemic towards academic achievements and satisfaction. Behav Sci. (2022) 12:200. doi: 10.3390/bs12070200

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Mortagy M, Abdelhameed A, Sexton P, Olken M, Hegazy M, Gawad M, et al. Online medical education in Egypt during the COVID-19 pandemic: a nationwide assessment of medical students’ usage and perceptions. BMC Med Educ. (2022) 22:218.

Google Scholar

66. Xu X, Schönrock-Adema J, Jaarsma A, Duvivier R, Bos N. A conducive learning environment in international higher education: a systematic review of research on students’ perspectives. Educ Res Rev. (2022) 37:100474. doi: 10.1016/j.edurev.2022.100474

CrossRef Full Text | Google Scholar

67. Vallée A, Blacher J, Cariou A, Sorbets E. Blended learning compared to traditional learning in medical education: systematic review and meta-analysis. J Med Internet Res. (2020) 22:e16504. doi: 10.2196/16504

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Cho H, Gay G, Davidson B, Ingraffea A. Social networks, communication styles, and learning performance in a CSCL community. Comput Educ. (2007) 49:309–29. doi: 10.1016/j.compedu.2005.07.003

CrossRef Full Text | Google Scholar

69. Van de Velde S, Buffel V, Bracke P, Van Hal G, Somogyi N, Willems B, et al. The COVID-19 international student well-being study. Scand J Public Health. (2021) 49:114–22. doi: 10.1177/1403494820981186

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Greenland, S, Saleem M, Misra R, Bhatia B. Measuring COVID-19’s impact on international HE students and intervention satisfaction: implications for marketing theory and practice. J Mark High Educ. (2021) 1–28. doi: 10.1080/08841241.2021.1949660

CrossRef Full Text | Google Scholar

Keywords: social networks, online learning, medical students, COVID-19 pandemic, academic performance

Citation: Zhou Y, Xu X, Schönrock-Adema J, Brouwer J, Bos NA and Diemers AD (2023) Influence of online collaborative learning on social network and academic performance of medical students: lessons learned from the COVID-19 pandemic. Front. Med. 10:1242638. doi: 10.3389/fmed.2023.1242638

Received: 19 June 2023; Accepted: 28 July 2023;
Published: 09 August 2023.

Edited by:

Pentti Nieminen, University of Oulu, Finland

Reviewed by:

Noor Akmal Shareela Ismail, National University of Malaysia, Malaysia
Mohamed Tharwat Hegazy, Cairo University, Egypt

Copyright © 2023 Zhou, Xu, Schönrock-Adema, Brouwer, Bos and Diemers. 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: Nicolaas A. Bos, n.a.bos@umcg.nl

These authors have contributed equally to this work

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.