Predicting quality in educational software: Evaluating for learning, usability and the synergy between them

Citation
D. Squires et J. Preece, Predicting quality in educational software: Evaluating for learning, usability and the synergy between them, INTERACT CO, 11(5), 1999, pp. 467-483
Citations number
63
Categorie Soggetti
Computer Science & Engineering
Journal title
INTERACTING WITH COMPUTERS
ISSN journal
09535438 → ACNP
Volume
11
Issue
5
Year of publication
1999
Pages
467 - 483
Database
ISI
SICI code
0953-5438(199905)11:5<467:PQIESE>2.0.ZU;2-8
Abstract
Teachers need to be able to evaluate predictively educational software so t hat they can make decisions about what software to purchase and how to use software in classrooms. The conventional approach to predictive evaluation is to use a checklist. We argue that checklists are seriously flawed in pri nciple because they do not encompass a consideration of learning issues. Mo re particularly they fail to adopt a socio-constructivist view of learning. We propose an approach that adapts the idea of usability heuristics by tak ing account of a socio-constructivist learning perspective. This leads to a set of 'learning with software' heuristics. A notable feature of these heu ristics is that they attend to the integration of usability and learning is sues. (C) 1999 Elsevier Science B.V. All rights reserved.