Supporting Computer Science Curriculum: Exploring and Learning Linked Lists with iList | Zendy

Davide Fossati | Zendy; Barbara Di Eugenio | Zendy; Christopher W. Brown | Zendy; Stellan Ohlsson | Zendy; David G. Cosejo | Zendy; Lin Chen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Supporting Computer Science Curriculum: Exploring and Learning Linked Lists with iList

Author(s) -

Davide Fossati,

Barbara Di Eugenio,

Christopher W. Brown,

Stellan Ohlsson,

David G. Cosejo,

Lin Chen

Publication year - 2009

Publication title -

ieee transactions on learning technologies

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.376

H-Index - 47

ISSN - 1939-1382

DOI - 10.1109/tlt.2009.21

Subject(s) - computing and processing , general topics for engineers

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research