IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES 1 Supporting Computer Science curriculum: Exploring and learning linked lists with iList

by Davide Fossati , Barbara Di Eugenio , Christopher Brown , Stellan Ohlsson , David Cosejo , Lin Chen

Datum	Value	Source
TITLE	IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES 1 Supporting Computer Science curriculum: Exploring and learning linked lists with iList	SVM HeaderParse 0.2
AUTHOR NAME	Davide Fossati	SVM HeaderParse 0.2
AUTHOR NAME	Barbara Di Eugenio	SVM HeaderParse 0.2
AUTHOR NAME	Christopher Brown	SVM HeaderParse 0.2
AUTHOR NAME	Stellan Ohlsson	SVM HeaderParse 0.2
AUTHOR NAME	David Cosejo	SVM HeaderParse 0.2
AUTHOR NAME	Lin Chen	SVM HeaderParse 0.2
ABSTRACT	Abstract—We developed two versions of a system, called iList, that helps students learn linked lists, an important topic in Computer Science curricula. The two versions of iList differ on the level of feedback they can provide to the students, specifically in the explanation of syntax and execution errors. The system has been fielded in multiple classrooms in two institutions. Our results indicate that iList is effective, is considered interesting and useful by the students, and its performance is getting closer to the performance of human tutors. Moreover, the system is being developed in the context of a study of human tutoring, which is guiding the evolution of iList with empirical evidence of effective tutoring. Index Terms—K.3.1.b. Computer-assisted instruction, K.3.2.b Computer science education, I.2.1.d. Education, H.5.2.e. Evaluation/methodology, Constraint-based modeling, Intelligent tutoring systems 1	SVM HeaderParse 0.2
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