His primary areas of investigation include Multimedia, Mathematics education, Cognitive tutor, TUTOR and Curriculum. His Multimedia study incorporates themes from Abstraction, Control and Metadata. Albert T. Corbett combines subjects such as Descriptive knowledge, Cognitive style and Informal learning with his study of Mathematics education.
His studies in TUTOR integrate themes in fields like Lisp, Machine learning, Cognitive model and Artificial intelligence. His studies deal with areas such as Bayesian Knowledge Tracing, Computer-Assisted Instruction, Teaching method and Human–computer interaction as well as Cognitive model. His Curriculum research integrates issues from Software, User modeling, Learned helplessness and Domain knowledge.
TUTOR, Multimedia, Mathematics education, Cognitive tutor and Artificial intelligence are his primary areas of study. Albert T. Corbett has researched TUTOR in several fields, including Mastery learning, Knowledge management, Bayesian Knowledge Tracing, Reading and Intelligent tutoring system. His research in Multimedia intersects with topics in Software, Metadata and Human–computer interaction.
He interconnects Cognitive model and Set in the investigation of issues within Mathematics education. His Cognitive tutor study combines topics from a wide range of disciplines, such as Curriculum, Algebra II, Formative assessment, User assistance and Natural language. Albert T. Corbett has included themes like Domain, Machine learning, Tracing and Natural language processing in his Artificial intelligence study.
The scientist’s investigation covers issues in TUTOR, Mathematics education, Bayesian Knowledge Tracing, Cognitive tutor and Multimedia. Albert T. Corbett has researched TUTOR in several fields, including Robust learning, Intelligent tutoring system, Artificial intelligence, Knowledge management and Goodness of fit. His Mathematics education research is multidisciplinary, relying on both Pedagogy and Set.
Albert T. Corbett has included themes like Machine learning and Reading in his Bayesian Knowledge Tracing study. Albert T. Corbett combines subjects such as Educational psychology, Abductive reasoning, Meaning, Human–computer interaction and Domain knowledge with his study of Cognitive tutor. His study on Multimedia is mostly dedicated to connecting different topics, such as Multimedia information systems.
Albert T. Corbett focuses on Bayesian Knowledge Tracing, Educational data mining, TUTOR, Machine learning and Artificial intelligence. His Bayesian Knowledge Tracing research integrates issues from Teaching method, Cognitive science, Educational research and Knowledge representation and reasoning. His TUTOR research includes themes of Knowledge state and Robust learning.
His biological study spans a wide range of topics, including Cooperative learning, Synchronous learning, Graph and Mathematics education. His Artificial intelligence research includes elements of Experiential learning and Active learning. Predictive power is integrated with Cognitive tutor and Human–computer interaction in his study.
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Cognitive Tutors: Lessons Learned
John R. Anderson;Albert T. Corbett;Kenneth R. Koedinger;Ray Pelletier.
The Journal of the Learning Sciences (1995)
Knowledge Tracing: Modeling the Acquisition of Procedural Knowledge
Albert T. Corbett;John R. Anderson.
User Modeling and User-adapted Interaction (1995)
Cognitive modeling and intelligent tutoring
J. R. Anderson;C. F. Boyle;A. T. Corbett;M. W. Lewis.
Artificial Intelligence (1990)
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)
Skill acquisition and the LISP tutor.
John R. Anderson;Frederick G. Conrad;Albert T. Corbett.
Cognitive Science (1989)
Cognitive tutor: applied research in mathematics education.
Steven Ritter;John R. Anderson;Kenneth R. Koedinger;Albert Corbett.
Psychonomic Bulletin & Review (2007)
Detecting student misuse of intelligent tutoring systems
Ryan Shaun Baker;Albert T. Corbett;Kenneth R. Koedinger.
Lecture Notes in Computer Science (2004)
More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing
Ryan S. Baker;Albert T. Corbett;Vincent Aleven.
intelligent tutoring systems (2008)
Locus of feedback control in computer-based tutoring: impact on learning rate, achievement and attitudes
Albert T. Corbett;John R. Anderson.
human factors in computing systems (2001)
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