Kenneth Koedinger

Koedinger received his bachelor's degree in Mathematics and Computer Science from the University of Wisconsin–Madison, working with Richard Lehrer, and his M.S. in Computer Science from the University of Wisconsin–Madison. He then obtained his Ph.D. in Cognitive Psychology from Carnegie Mellon University.{{cite web | title = Koedinger CV | year = 2011 | url = http://pact.cs.cmu.edu/koedinger/koedingerCV.html | accessdate = 2011-08-20}} His doctoral advisor was John Robert Anderson.

Koedinger worked as a Research Scientist in the Human-Computer Interaction Institute at Carnegie Mellon University. Eventually, Koedinger became an Associate Professor and subsequently a professor at Carnegie Mellon University.{{ cite web | title = Koedinger CV | year = 2018 | url = http://pact.cs.cmu.edu/koedinger/koedingerCV.html | accessdate = 2018-02-06}} He has had many prestigious graduate students and post-doctoral fellows, in particular Neil Heffernan and Vincent Aleven.

Knowledge-Learning-Instruction Framework (KLI Framework)

Koedinger studied and developed the KLI framework of Learning Science. In 2012, Koedinger, along with his colleague Albert Corbett from the HCII and Charles Perfetti from the University of Pittsburgh, introduced the Knowledge-Learning-Instruction framework.{{cite journal|last1=Koedinger|first1=Kenneth R.|last2=Corbett|first2=Albert T.|last3=Perfetti|first3=Charles|title=The Knowledge-Learning-Instruction Framework: Bridging the Science-Practice Chasm to Enhance Robust Student Learning|journal=Cognitive Science|date=July 2012|volume=36|issue=5|pages=757–798|doi=10.1111/j.1551-6709.2012.01245.x|doi-access=free|pmid=22486653|url=http://pact.cs.cmu.edu/pubs/Koedinger,%20Corbett,%20Perfetti%202012-KLI.pdf}} The propositions within the KLI framework can help generate research questions within specific domains and instructional situations that, with further work, yield precise and falsifiable predictions. The KLI framework relates a set of observable and unobservable events: Learning Events, Instructional Events, Assessment Events and Knowledge Components.

• Instructional Events: Variations, typically planned, in the learning environment that are intended to produce learning. Instructional Events cause Learning Events.
• Learning Events: Changes in cognitive and brain states that can be inferred from data, but cannot be directly observed or directly controlled.
• Assessment Events: Involve student responses that are evaluated. Assessment Events are usually test items that can be directly observed, but they can also be embedded in the context of instruction.
• Knowledge Components: A description of a mental structure or process that a learner uses, alone or in combination with other knowledge components,{{cite web|title=Knowledge component - Pslc|url=http://www.learnlab.org/research/wiki/index.php/Knowledge_component|website=www.learnlab.org|accessdate=6 February 2018|language=en}} to accomplish steps in a task or a problem. A knowledge component is also closely related to an assessment event, since it is an acquired unit of cognitive function or structure that can be inferred from performance on a set of related tasks.

Cognitive Tutor

Koedinger has a huge contribution to the Intelligent Tutoring System (ITS), and developed several cognitive tutor software to aid the traditional classroom learning. Among which the "Cognitive Tutor Algebra" is one of the precursors of the ITS. In 2006, Koedinger and Albert Corbett invented the Cognitive Tutor Algebra from their Cognitive Tutor research.{{cite journal|last1=Koedinger|first1=Kenneth R.|last2=Corbett|first2=Albert T.|title=Cognitive tutors : technology bringing learning science to the classroom.|journal=The Cambridge Handbook of the Learning Sciences|date=Jan 2006|pages=61–77}} It is intended to provide students with immediate step by step hints and feedback, which traditional classroom practice can not provide.

In 2011, Koedinger, and his colleagues Ido Roll, Vincent Aleven and Bruce M. McLaren introduced the Help Tutor, an enhanced version of the Geometry Cognitive Tutor that is capable of giving immediate metacognitive feedback on students' help-seeking errors.{{cite journal|last1=Roll|first1=Ido|last2=Aleven|first2=Vincent|last3=McLaren|first3=Bruce M.|last4=Koedinger|first4=Kenneth R.|title=Improving students' help-seeking skills using metacognitive feedback in an intelligent tutoring system|journal=Learning and Instruction|date=April 2011|volume=21|issue=2|pages=267–280|doi=10.1016/j.learninstruc.2010.07.004}} As an enhanced version, the Help Tutor teaches help-seeking skills by giving metacognitive feedback on students' help-seeking errors in the context of learning a domain-specific problem-solving skill. The Help Tutor messages include only domain-independent metacognitive content for several reasons: to encourage students to focus more on the metacognitive feedback (and not be distracted by domain content), to help students generalize the help-seeking skills, and to make the Help Tutor reusable with different Cognitive Tutors.

• Learning Sciences
• Cognitive Tutor
• Learning sciences
• ACT-R
• John Robert Anderson (psychologist)
• Vincent Aleven
• Ryan Baker
• Bruce M. McLaren

{{Reflist}}

• [http://pact.cs.cmu.edu/koedinger.html Koedinger's personal page at Carnegie Mellon]
• [http://learnlab.org Pittsburgh Science of Learning Center (PSLC)]
• [http://ctat.pact.cs.cmu.edu Authoring tool for intelligent tutoring systems]

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Category:American cognitive scientists

Category:American educational psychologists

Category:Computational psychologists

Category:1962 births

Category:Living people

Category:University of Wisconsin–Madison College of Letters and Science alumni

Category:Carnegie Mellon University alumni

Category:Carnegie Mellon University faculty

Category:Human-Computer Interaction Institute faculty

Category:2023 fellows of the Association for Computing Machinery