Learning Linked Lists: Experiments with the iList System

Authors:
Davide Fossati;Barbara Eugenio;Christopher Brown;Stellan Ohlsson
Affiliations:
Department of Computer Science, University of Illinois, Chicago, USA;Department of Computer Science, University of Illinois, Chicago, USA;Department of Computer Science, U.S. Naval Academy, Annapolis, USA;Department of Psychology, University of Illinois, Chicago, USA
Venue:
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Year:
2008

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Abstract

This paper presents the first experiments with an Intelligent Tutoring System in the domain of linked lists, a fundamental topic in Computer Science. The system has been deployed in an introductory college-level Computer Science class, and engendered significant learning gains. A constraint-based approach has been adopted in the design and implementation of the system. We describe the system architecture, its current functionalities, and the future directions of its development.