What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Software
- Educational technology
His scientific interests lie mostly in Collaborative learning, Educational technology, Human–computer interaction, Cooperative learning and Scripting language.
His work on Computer-supported collaborative learning as part of general Collaborative learning study is frequently connected to Best practice, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His Educational technology study integrates concerns from other disciplines, such as Teaching method, Instructional design and Knowledge management.
His study in Knowledge management is interdisciplinary in nature, drawing from both Adaptation and Outdoor education.
Yannis Dimitriadis combines subjects such as Multimedia, Collaborative software and Data collection with his study of Human–computer interaction.
As a member of one scientific family, Yannis Dimitriadis mostly works in the field of Cooperative learning, focusing on Blended learning and, on occasion, Asynchronous communication, Situated learning, Affordance, Research question and World Wide Web.
His most cited work include:
- Combining qualitative evaluation and social network analysis for the study of classroom social interactions (341 citations)
- COLLAGE: A Collaborative Learning Design Editor Based on Patterns (253 citations)
- Grid Characteristics and Uses: A Grid Definition (117 citations)
What are the main themes of his work throughout his whole career to date?
Yannis Dimitriadis mainly focuses on Collaborative learning, Human–computer interaction, Multimedia, Knowledge management and Artificial intelligence.
His Collaborative learning research is multidisciplinary, relying on both IMS Learning Design, Educational technology, Collaborative software and Scripting language.
His Educational technology research incorporates themes from Cooperative learning, Synchronous learning, Orchestration and Instructional design.
Yannis Dimitriadis works mostly in the field of Multimedia, limiting it down to topics relating to World Wide Web and, in certain cases, Ontology, as a part of the same area of interest.
His work carried out in the field of Knowledge management brings together such families of science as Field, Learning analytics and Conceptual framework.
Yannis Dimitriadis has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.
He most often published in these fields:
- Collaborative learning (35.71%)
- Human–computer interaction (22.22%)
- Multimedia (21.83%)
What were the highlights of his more recent work (between 2018-2021)?
- Learning analytics (7.14%)
- Collaborative learning (35.71%)
- Data science (6.35%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Learning analytics, Collaborative learning, Data science, Mathematics education and Peer feedback.
His Learning analytics research is multidisciplinary, incorporating elements of Student engagement, Knowledge management, Knowledge integration, Principles of learning and Analytics.
His studies examine the connections between Knowledge management and genetics, as well as such issues in Orchestration, with regards to Context.
In his articles, Yannis Dimitriadis combines various disciplines, including Collaborative learning and Point.
His Data science research also works with subjects such as
- Information overload that intertwine with fields like Coding,
- Educational technology which intersects with area such as Representation, Faculty development and Field.
His research integrates issues of Student learning, Higher education, Multimedia, Human–computer interaction and Dialogic in his study of Peer feedback.
Between 2018 and 2021, his most popular works were:
- Orchestrating learning analytics (OrLA): supporting inter-stakeholder communication about adoption of learning analytics at the classroom level (32 citations)
- Aligning learning design and learning analytics through instructor involvement: a MOOC case study (8 citations)
- Creating collaborative groups in a MOOC: a homogeneous engagement grouping approach (8 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- The Internet
His primary areas of investigation include Collaborative learning, Mathematics education, Learning analytics, Instructional design and Knowledge management.
Yannis Dimitriadis interconnects Inclusion, Active learning and Face in the investigation of issues within Collaborative learning.
When carried out as part of a general Mathematics education research project, his work on Language acquisition, Computer-supported collaborative learning and Flipped classroom is frequently linked to work in Point, therefore connecting diverse disciplines of study.
His Learning analytics study incorporates themes from Knowledge integration, Analytics, Design process and Principles of learning.
He has included themes like Interactivity, Social constructivism and Guided learning in his Instructional design study.
His research in Knowledge management intersects with topics in Predictive analytics, Educational technology, Interpersonal communication and Learning design.
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