2023 - Research.com Social Sciences and Humanities in United States Leader Award
The scientist’s investigation covers issues in Mathematics education, Cognitive tutor, TUTOR, Cognition and Multimedia. His research investigates the connection between Mathematics education and topics such as Pedagogy that intersect with issues in Verbal reasoning, Algebraic reasoning and Variety. He has researched Cognitive tutor in several fields, including Test, Curriculum, Metacognition, Software and Intelligent tutoring system.
His TUTOR research incorporates elements of Glossary, Coding, Dialog box and Cognitive model. His research integrates issues of Descriptive knowledge, Expert system, Artificial intelligence and Learning theory in his study of Cognition. His Multimedia study combines topics in areas such as User assistance, Human–computer interaction and Set.
Mathematics education, Artificial intelligence, TUTOR, Multimedia and Cognitive tutor are his primary areas of study. His Mathematics education study integrates concerns from other disciplines, such as Test, Pedagogy and Cognition. His Artificial intelligence study also includes fields such as
His TUTOR research includes elements of Learning by teaching, Dialog box, Intelligent tutoring system and Set. His work carried out in the field of Multimedia brings together such families of science as Context, Human–computer interaction, Peer tutor, Software and Collaborative learning. His Cognitive tutor research includes themes of Cognitive psychology, Curriculum, Control, Metacognition and User assistance.
His main research concerns Artificial intelligence, Mathematics education, Educational technology, Multimedia and Machine learning. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Multi-task learning, Contrast, Instructional design and Cognitive model. His studies examine the connections between Mathematics education and genetics, as well as such issues in Knowledge management, with regards to Self-regulated learning.
The Educational technology study combines topics in areas such as TUTOR, Cognitive tutor, Human–computer interaction, Teaching method and Educational data mining. His research investigates the connection between Cognitive tutor and topics such as Task analysis that intersect with problems in Cognitive psychology. His work deals with themes such as Bayesian Knowledge Tracing, Cognition and Online tutoring, which intersect with Machine learning.
Kenneth R. Koedinger spends much of his time researching Multimedia, Mathematics education, Educational technology, Artificial intelligence and Context. Kenneth R. Koedinger interconnects Collaborative learning, Adaptive learning, Human–computer interaction and Embodied cognition in the investigation of issues within Multimedia. His Mathematics education study frequently draws parallels with other fields, such as Curriculum.
His biological study spans a wide range of topics, including TUTOR, Cognitive tutor, Metacognition, Teaching method and Cognitive model. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Instructional design. His Context research incorporates elements of Cognition and Dropout.
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.
Cognitive Tutors: Lessons Learned
John R. Anderson;Albert T. Corbett;Kenneth R. Koedinger;Ray Pelletier.
The Journal of the Learning Sciences (1995)
Intelligent Tutoring Goes To School in the Big City
Kenneth R. Koedinger;John R. Anderson;William H. Hadley;Mary A. Mark.
artificial intelligence in education (1997)
An effective metacognitive strategy: Learning by doing and explaining with a computer-based Cognitive Tutor.
Vincent A.W.M.M. Aleven;Kenneth R. Koedinger.
Cognitive Science (2002)
Organizing Instruction and Study to Improve Student Learning. IES Practice Guide. NCER 2007-2004.
Harold Pashler;Patrice M. Bain;Brian A. Bottge;Arthur Graesser.
National Center for Education Research (2007)
Exploring the Assistance Dilemma in Experiments with Cognitive Tutors
Kenneth R. Koedinger;Vincent Aleven.
Educational Psychology Review (2007)
The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning.
Kenneth R. Koedinger;Albert T. Corbett;Charles Perfetti.
Cognitive Science (2012)
Off-task behavior in the cognitive tutor classroom: when students "game the system"
Ryan Shaun Baker;Albert T. Corbett;Kenneth R. Koedinger;Angela Z. Wagner.
human factors in computing systems (2004)
The real story behind story problems: Effects of representations on quantitative reasoning.
Kenneth R. Koedinger;Mitchell J. Nathan.
The Journal of the Learning Sciences (2004)
Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry
Kenneth R. Koedinger;John R. Anderson.
Cognitive Science (1990)
Cognitive tutor: applied research in mathematics education.
Steven Ritter;John R. Anderson;Kenneth R. Koedinger;Albert Corbett.
Psychonomic Bulletin & Review (2007)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: