H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 67 Citations 20,282 258 World Ranking 988 National Ranking 585

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mathematics education
  • Statistics

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.

His most cited work include:

  • Cognitive Tutors: Lessons Learned (1472 citations)
  • Intelligent Tutoring Goes To School in the Big City (962 citations)
  • An effective metacognitive strategy: learning by doing and explaining with a computer-based Cognitive Tutor (672 citations)

What are the main themes of his work throughout his whole career to date?

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

  • Machine learning which connect with Bayesian Knowledge Tracing,
  • Cognitive model that intertwine with fields like Cognitive skill.

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.

He most often published in these fields:

  • Mathematics education (31.91%)
  • Artificial intelligence (29.08%)
  • TUTOR (26.48%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (29.08%)
  • Mathematics education (31.91%)
  • Educational technology (9.69%)

In recent papers he was focusing on the following fields of study:

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.

Between 2014 and 2021, his most popular works were:

  • Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC (124 citations)
  • Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor (117 citations)
  • Help Helps, But Only So Much: Research on Help Seeking with Intelligent Tutoring Systems (92 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Programming language

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.

Top Publications

Cognitive Tutors: Lessons Learned

John R. Anderson;Albert T. Corbett;Kenneth R. Koedinger;Ray Pelletier.
The Journal of the Learning Sciences (1995)

2657 Citations

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)

1615 Citations

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)

1190 Citations

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)

657 Citations

Exploring the Assistance Dilemma in Experiments with Cognitive Tutors

Kenneth R. Koedinger;Vincent Aleven.
Educational Psychology Review (2007)

619 Citations

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)

606 Citations

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)

596 Citations

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)

572 Citations

Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry

Kenneth R. Koedinger;John R. Anderson.
Cognitive Science (1990)

567 Citations

Cognitive tutor: applied research in mathematics education.

Steven Ritter;John R. Anderson;Kenneth R. Koedinger;Albert Corbett.
Psychonomic Bulletin & Review (2007)

505 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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