His main research concerns Multimedia, Educational technology, Active learning, Learning styles and Synchronous learning. His Multimedia study integrates concerns from other disciplines, such as Technology integration, Mobile technology, Mobile device, The Internet and Collaborative learning. He has researched Educational technology in several fields, including Cooperative learning, Teaching method and Social psychology.
He has included themes like Experiential learning, Augmented reality and Learning theory in his Active learning study. His Learning styles study combines topics from a wide range of disciplines, such as Validity, Adaptive learning, Cognitive style, Coherence and Machine learning. In his study, Knowledge management and Interconnectivity is strongly linked to Blended learning, which falls under the umbrella field of Synchronous learning.
Kinshuk mainly investigates Multimedia, Educational technology, Knowledge management, Human–computer interaction and Artificial intelligence. His studies in Multimedia integrate themes in fields like Synchronous learning, Mobile technology, Mobile device, Mobile computing and The Internet. His study explores the link between Educational technology and topics such as Active learning that cross with problems in Experiential learning.
Kinshuk focuses mostly in the field of Experiential learning, narrowing it down to topics relating to Cooperative learning and, in certain cases, Collaborative learning, Learning styles and Learning Management. The Knowledge management study combines topics in areas such as Learning environment and Information and Communications Technology. His Artificial intelligence research includes elements of Working memory, Cognition, Machine learning and Natural language processing.
Kinshuk spends much of his time researching Learning analytics, Multimedia, Analytics, Human–computer interaction and Data science. The concepts of his Learning analytics study are interwoven with issues in Competence, Cluster analysis, Artificial intelligence and Big data. He interconnects Synchronous learning and Personalization in the investigation of issues within Multimedia.
His Synchronous learning research also works with subjects such as
His scientific interests lie mostly in Multimedia, Human–computer interaction, Mathematics education, Learning analytics and Active learning. He is interested in Game programming, which is a field of Multimedia. His work carried out in the field of Human–computer interaction brings together such families of science as Ubiquitous robot, Smart learning, Personalization, Ubiquitous learning and Analytics.
His studies deal with areas such as Augmented reality, Pedagogy and Personality as well as Mathematics education. His study in Active learning is interdisciplinary in nature, drawing from both Cognitive load, Experiential learning, Educational technology, Procedural knowledge and Situated learning. His Experiential learning research incorporates themes from Cooperative learning, Synchronous learning, Open learning and Collaborative learning.
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Augmented Reality Trends in Education: A Systematic Review of Research and Applications.
Jorge Bacca;Silvia Baldiris;Ramon Fabregat;Sabine Graf.
Educational Technology & Society (2014)
Is FLIP enough? Or should we use the FLIPPED model instead?
Yunglung Chen;Yuping Wang;Kinshuk;Nian-Shing Chen.
Computer Education (2014)
Examining the Factors Influencing Participants' Knowledge Sharing Behavior in Virtual Learning Communities
Irene Y.L. Chen;Nian Shing Chen;Kinshuk.
Educational Technology & Society (2009)
EFFECTS OF SHORT-TERM MEMORY AND CONTENT REPRESENTATION TYPE ON MOBILE LANGUAGE LEARNING
Nian-Shing Chen;Sheng-Wen Hsieh;Kinshuk.
Language Learning & Technology (2008)
A model for synchronous learning using the Internet
Nian‐Shing Chen;Hsiu‐Chia Ko;Kinshuk;Taiyu Lin.
Innovations in Education and Teaching International (2005)
Factors Impacting Teachers' Adoption of Mobile Learning.
Kathryn Mac Callum;Lynn Jeffrey;Kinshuk.
Journal of Information Technology Education (2014)
Analysis of learners' navigational behaviour and their learning styles in an online course
Sabine Graf;Tzu-Chien Liu;Kinshuk.
Journal of Computer Assisted Learning (2010)
Identifying Learning Styles in Learning Management Systems by Using Indications from Students' Behaviour
S. Graf;Kinshuk;Tzu-Chien Liu.
international conference on advanced learning technologies (2008)
An Approach for Detecting Learning Styles in Learning Management Systems
international conference on advanced learning technologies (2006)
An investigation of attitudes of students and teachers about participating in a context-aware ubiquitous learning activity
Ju Ling Shih;Hui Chun Chu;Gwo Jen Hwang;Kinshuk.
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