Sitthiworachart, J. and Joy, M.S. (2004) Using Web-based Peer Assessment in Fostering Deep Learning in Computer Programming. In: International Conference on Education and Information Systems, Technologies and Applications (EISTA 2004), 21-24 Jul 2004, Orlando, FL.

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Abstract

Active learning is considered by many academics as an important and effective learning strategy. Students can improve the quality of their work by developing their higher cognitive skills through reflection on their own ideas and practice of analytic and evaluative skills. Peer assessment is one of the successful approaches which can be used to enhance this deep learning. In this paper we discuss a novel web-based peer assessment system to support computer programming courses. We discuss the educational rational for the system, and the deep learning theory, report on its deployment on large programming modules. The preliminary results indicate that the system has successfully helped students to develop their higher cognitive skills in learning computer programming.

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