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Output details

11 - Computer Science and Informatics

London Metropolitan University

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Output 10 of 24 in the submission

Article title

Effects of Response-Driven Feedback in Computer Science Learning

Type

D - Journal article

DOI

10.1109/TE.2010.2087761

Title of journal

IEEE Transactions on Education

Article number

Volume number

Issue number

First page of article

501

ISSN of journal

1557-9638

Year of publication

2011

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5620936

Number of additional authors

Additional information

<29>This paper represents the first journal publication of a neural network providing the means of classifying multiple choice answers into groups that are mapped onto appropriate online diagnostic feedback. It is both a novel neural network application and an original approach to facilitation of real-time online personalised, diagnostic feedback for supporting learning in VLEs. Rigorous testing and evaluation is presented and leads to the conclusion that the subjects’ learning is supported to a significant extent. This approach has since found much broader application across several subject areas (including English language, computer programming and mathematics teaching).

Interdisciplinary

Cross-referral requested

Research group

6 - Intelligence Systems Research Centre

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract