What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Pedagogy
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.
His most cited work include:
- Augmented Reality Trends in Education: A Systematic Review of Research and Applications. (392 citations)
- Is FLIP enough? Or should we use the FLIPPED model instead? (244 citations)
- Examining the Factors Influencing Participants' Knowledge Sharing Behavior in Virtual Learning Communities (203 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Multimedia (38.29%)
- Educational technology (19.76%)
- Knowledge management (15.85%)
What were the highlights of his more recent work (between 2014-2020)?
- Learning analytics (6.83%)
- Multimedia (38.29%)
- Analytics (4.88%)
In recent papers he was focusing on the following fields of study:
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
- Blended learning and related Cooperative learning,
- Collaborative learning, which have a strong connection to Experiential learning.
The various areas that he examines in his Human–computer interaction study include Educational technology and Embodied cognition.
His Educational technology study incorporates themes from Open learning and Educational evaluation.
Between 2014 and 2020, his most popular works were:
- PLORS: a personalized learning object recommender system (44 citations)
- Mobile Augmented Reality in Vocational Education and Training (42 citations)
- Role of personality in computer based learning (40 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Pedagogy
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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