Mobile and ubiquitous computing technologies are revolutionizing the education system. Rapid developments in these technologies have provided opportunities to design and create cutting-edge mobile learning strategies. Advances in innovative pedagogical applications of such technology and software tools can improve student learning at all levels of education. Following the impact of the COVID-19 pandemic, the idea of transforming traditional science instruction into a narrative of mobile and ubiquitous learning has grown in popularity, with face-to-face training losing favor to online learning in recent years. In the quickly evolving digital world, emerging technologies such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), and robotics have all been leveraged to drive the future of teaching and learning. In the light of these technological advancements, it is vital to address the goals, interests, and concerns of teachers and students.
The introduction of technical tools for learning support systems within mobile and ubiquitous settings is not a clear-cut and straightforward process. It is challenging to design effective technology assistance in combination with suitable pedagogy, and to change learning practices under different settings that require the adoption of new technologies. The pedagogical use of mobile technologies in schools must also be adapted to the learning needs for each specific subject area. Yet establishing revolutionary mobile-assisted learning strategies into classroom settings through the use of mobile devices and creative teaching techniques is the path to improving education with smart schools.
This Research Topic explores teaching and learning pedagogies enabled by emerging technologies, including AI-supported learning, mobile and ubiquitous learning, personalized/adaptive learning, learning in smart environments, and assessment technologies. Researchers and practitioners are invited to contribute their results, with a focus on innovative pedagogies, research methodologies, professional development models, and theories of teaching and learning. Discussions on ethical concerns raised by the introduction of new technology in the field of education are also welcome. Topics of interest include, but are not limited to:
- Learning frameworks mediated by the ubiquitous technology.
- Context-aware ubiquitous learning environments.
- Web-mediated computational thinking on developing students.
- Integrating mobile technology into education systems.
- Adaptive/personalized teaching and learning.
- Conceptual learning and technological pedagogical content knowledge.
- Emerging pedagogies with mobile technology.
- Emerging teaching and learning theories or research methods.
- Recent technology-based learning and ethical issues.
Keywords:
mobile and ubiquitous learning, artificial intelligence (AI), machine learning (ML), internet of things (IoT), innovative pedagogical applications
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Mobile and ubiquitous computing technologies are revolutionizing the education system. Rapid developments in these technologies have provided opportunities to design and create cutting-edge mobile learning strategies. Advances in innovative pedagogical applications of such technology and software tools can improve student learning at all levels of education. Following the impact of the COVID-19 pandemic, the idea of transforming traditional science instruction into a narrative of mobile and ubiquitous learning has grown in popularity, with face-to-face training losing favor to online learning in recent years. In the quickly evolving digital world, emerging technologies such as artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), and robotics have all been leveraged to drive the future of teaching and learning. In the light of these technological advancements, it is vital to address the goals, interests, and concerns of teachers and students.
The introduction of technical tools for learning support systems within mobile and ubiquitous settings is not a clear-cut and straightforward process. It is challenging to design effective technology assistance in combination with suitable pedagogy, and to change learning practices under different settings that require the adoption of new technologies. The pedagogical use of mobile technologies in schools must also be adapted to the learning needs for each specific subject area. Yet establishing revolutionary mobile-assisted learning strategies into classroom settings through the use of mobile devices and creative teaching techniques is the path to improving education with smart schools.
This Research Topic explores teaching and learning pedagogies enabled by emerging technologies, including AI-supported learning, mobile and ubiquitous learning, personalized/adaptive learning, learning in smart environments, and assessment technologies. Researchers and practitioners are invited to contribute their results, with a focus on innovative pedagogies, research methodologies, professional development models, and theories of teaching and learning. Discussions on ethical concerns raised by the introduction of new technology in the field of education are also welcome. Topics of interest include, but are not limited to:
- Learning frameworks mediated by the ubiquitous technology.
- Context-aware ubiquitous learning environments.
- Web-mediated computational thinking on developing students.
- Integrating mobile technology into education systems.
- Adaptive/personalized teaching and learning.
- Conceptual learning and technological pedagogical content knowledge.
- Emerging pedagogies with mobile technology.
- Emerging teaching and learning theories or research methods.
- Recent technology-based learning and ethical issues.
Keywords:
mobile and ubiquitous learning, artificial intelligence (AI), machine learning (ML), internet of things (IoT), innovative pedagogical applications
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.