What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mathematics education
- Educational technology
Ton de Jong mainly investigates Computer-Assisted Instruction, Mathematics education, Discovery learning, Educational technology and Learning environment.
The Mathematics education study combines topics in areas such as Motion and Popularity.
Ton de Jong works mostly in the field of Discovery learning, limiting it down to concerns involving Artificial intelligence and, occasionally, Machine learning, Learning theory and Educational psychology.
His Educational technology research is multidisciplinary, incorporating perspectives in Collaborative learning and Multimedia.
His Learning environment research is multidisciplinary, incorporating elements of Domain and Human–computer interaction.
He combines subjects such as Instructional simulation, Instructional design and Algorithmic learning theory with his study of Human–computer interaction.
His most cited work include:
- Scientific Discovery Learning with Computer Simulations of Conceptual Domains (1117 citations)
- Cognitive load theory, educational research, and instructional design: some food for thought (495 citations)
- Types and qualities of knowledge (461 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Mathematics education, Human–computer interaction, Learning environment, Educational technology and Artificial intelligence.
His research integrates issues of Pedagogy and Knowledge management in his study of Mathematics education.
The study incorporates disciplines such as Instructional simulation, Discovery learning and Instructional design in addition to Human–computer interaction.
The various areas that Ton de Jong examines in his Educational technology study include Experiential learning, Collaborative learning, Multimedia and Synchronous learning.
The study incorporates disciplines such as Domain, Machine learning and Natural language processing in addition to Artificial intelligence.
His research in Domain intersects with topics in Representation and Domain knowledge.
He most often published in these fields:
- Mathematics education (32.13%)
- Human–computer interaction (16.97%)
- Learning environment (16.25%)
What were the highlights of his more recent work (between 2014-2021)?
- Mathematics education (32.13%)
- Educational technology (16.25%)
- Learning environment (16.25%)
In recent papers he was focusing on the following fields of study:
Ton de Jong spends much of his time researching Mathematics education, Educational technology, Learning environment, Teaching method and Proportional reasoning.
His studies deal with areas such as Control and Multimedia as well as Mathematics education.
His work is dedicated to discovering how Educational technology, Science education are connected with System dynamics, Concept map, Artificial intelligence, Software deployment and Engineering management and other disciplines.
His work investigates the relationship between Learning environment and topics such as Active learning that intersect with problems in Sequence learning, Cognitive psychology, Experiential learning, Early adolescents and Attitude change.
His work carried out in the field of Proportional reasoning brings together such families of science as Vocational education and Cognition.
His research in Collaborative learning focuses on subjects like Cooperative learning, which are connected to Computer-Assisted Instruction, Computer-mediated communication, Social influence and Formative assessment.
Between 2014 and 2021, his most popular works were:
- Phases of inquiry-based learning: Definitions and the inquiry cycle (329 citations)
- Identifying Potential Types of Guidance for Supporting Student Inquiry When Using Virtual and Remote Labs in Science: A Literature Review (64 citations)
- How competition and heterogeneous collaboration interact in prevocational game-based mathematics education (40 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mathematics education
- Educational technology
His primary areas of study are Mathematics education, Teaching method, Proportional reasoning, Control and Educational technology.
His Mathematics education study incorporates themes from Field, Work and Knowledge acquisition.
His Teaching method research is multidisciplinary, incorporating elements of Argument, Instructional design and Digital storytelling.
His research investigates the connection between Proportional reasoning and topics such as Cognition that intersect with problems in Expectancy theory, Surprise, Logical reasoning and Experiential learning.
The Educational technology study combines topics in areas such as Affordance, Science education and Skill development.
He has researched Collaborative learning in several fields, including Cooperative learning, Peer assessment, Computer-mediated communication and Computer-Assisted Instruction.
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