What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Mathematics education
His scientific interests lie mostly in Artificial intelligence, Mathematics education, Multimedia, Intelligent tutoring system and TUTOR.
His Artificial intelligence study frequently draws connections between related disciplines such as Cognitive science.
His Mathematics education research is multidisciplinary, relying on both Control, Pedagogy and Natural language.
In his research, Educational psychology, Competence, Software and Automated theorem proving is intimately related to User interface, which falls under the overarching field of Multimedia.
As a member of one scientific family, Kurt VanLehn mostly works in the field of Intelligent tutoring system, focusing on Student learning and, on occasion, Systems design.
His TUTOR study incorporates themes from Range, Deep learning, Qualitative physics and Reading.
His most cited work include:
- The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems (663 citations)
- The Behavior of Tutoring Systems (545 citations)
- Repair theory: A generative theory of bugs in procedural skills (483 citations)
What are the main themes of his work throughout his whole career to date?
Kurt VanLehn mainly focuses on Artificial intelligence, Mathematics education, TUTOR, Intelligent tutoring system and Multimedia.
His primary area of study in Artificial intelligence is in the field of Natural language.
His Mathematics education research includes elements of Pedagogy, Knowledge management and Set.
His TUTOR study combines topics in areas such as Cognitive skill and Reading.
His work deals with themes such as Educational technology and Domain knowledge, which intersect with Intelligent tutoring system.
Kurt VanLehn works mostly in the field of Multimedia, limiting it down to topics relating to Human–computer interaction and, in certain cases, User interface.
He most often published in these fields:
- Artificial intelligence (44.58%)
- Mathematics education (26.91%)
- TUTOR (20.08%)
What were the highlights of his more recent work (between 2009-2020)?
- Multimedia (15.66%)
- Mathematics education (26.91%)
- Intelligent tutoring system (20.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Multimedia, Mathematics education, Intelligent tutoring system, TUTOR and Human–computer interaction.
His Multimedia research is multidisciplinary, incorporating perspectives in Software and Formative assessment.
His Mathematics education study combines topics from a wide range of disciplines, such as Competence and Set.
To a larger extent, Kurt VanLehn studies Artificial intelligence with the aim of understanding Intelligent tutoring system.
His research in Artificial intelligence intersects with topics in Construct, Arithmetic, Learning sciences and Natural language processing.
His Human–computer interaction research incorporates elements of Metacognition, User interface and Interactivity.
Between 2009 and 2020, his most popular works were:
- The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems (663 citations)
- Seeing Deep Structure From the Interactions of Surface Features (120 citations)
- Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies (71 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Machine learning
Kurt VanLehn mostly deals with Mathematics education, Multimedia, Artificial intelligence, TUTOR and Intelligent tutoring system.
The study incorporates disciplines such as Backward chaining and Set in addition to Mathematics education.
The concepts of his Multimedia study are interwoven with issues in User interface, Educational data mining and Cognitive tutor.
His Artificial intelligence study combines topics in areas such as Class, Machine learning, Construct and Advice.
His research on TUTOR also deals with topics like
- Knowledge management which connect with Reinforcement learning and Reinforcement,
- Action which intersects with area such as Natural language.
His studies deal with areas such as Cronbach's alpha, User modeling and Cognitive strategy as well as Intelligent tutoring system.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
