Learning Linked Lists: Experiments with the iList System
by
Davide Fossati
,
Barbara Di Eugenio
,
Christopher Brown
| Citations: | 2 - 1 self |
BibTeX
@MISC{Fossati_learninglinked,
author = {Davide Fossati and Barbara Di Eugenio and Christopher Brown},
title = {Learning Linked Lists: Experiments with the iList System},
year = {}
}
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Abstract
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. 1
