How should knowledge composed of schemas be represented in order to optimize student model accuracy?

Sachin Grover, Jon Wetzel, Kurt VanLehn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most approaches to student modeling assume that students’ knowledge can be represented by a large set of knowledge components that are learned independently. Knowledge components typically represent fairly small pieces of knowledge. This seems to conflict with the literature on problem solving which suggests that expert knowledge is composed of large schemas. This study compared several domain models for knowledge that is arguably composed of schemas. The knowledge is used by students to construct system dynamics models with the Dragoon intelligent tutoring system. An evaluation with 52 students showed that a relative simple domain model, that assigned one KC to each schema and schema combination, sufficed and was more parsimonious than other domain models with similarly accurate predictions.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings
PublisherSpringer Verlag
Pages127-139
Number of pages13
ISBN (Print)9783319938424
DOIs
StatePublished - Jan 1 2018
Event19th International Conference on Artificial Intelligence in Education, AIED 2018 - London, United Kingdom
Duration: Jun 27 2018Jun 30 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10947 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th International Conference on Artificial Intelligence in Education, AIED 2018
CountryUnited Kingdom
CityLondon
Period6/27/186/30/18

Fingerprint

Schema
Optimise
Students
Domain Model
Intelligent systems
Model
Dynamic models
Intelligent Tutoring Systems
Knowledge
System Dynamics
Large Set
Dynamic Model
Prediction
Evaluation
Modeling

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Grover, S., Wetzel, J., & VanLehn, K. (2018). How should knowledge composed of schemas be represented in order to optimize student model accuracy? In Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings (pp. 127-139). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10947 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-93843-1_10

How should knowledge composed of schemas be represented in order to optimize student model accuracy? / Grover, Sachin; Wetzel, Jon; VanLehn, Kurt.

Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, 2018. p. 127-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10947 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Grover, S, Wetzel, J & VanLehn, K 2018, How should knowledge composed of schemas be represented in order to optimize student model accuracy? in Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10947 LNAI, Springer Verlag, pp. 127-139, 19th International Conference on Artificial Intelligence in Education, AIED 2018, London, United Kingdom, 6/27/18. https://doi.org/10.1007/978-3-319-93843-1_10
Grover S, Wetzel J, VanLehn K. How should knowledge composed of schemas be represented in order to optimize student model accuracy? In Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag. 2018. p. 127-139. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-93843-1_10
Grover, Sachin ; Wetzel, Jon ; VanLehn, Kurt. / How should knowledge composed of schemas be represented in order to optimize student model accuracy?. Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings. Springer Verlag, 2018. pp. 127-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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