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A Large-Scale Evaluation of a Model for the Evaluation of Games for Teaching Software Engineering by Giani Petri; Christiane Gresse von Wangenheim; Adriano Ferreti Borgatto is a scholarly article available to read on EtoBox.

What is A Large-Scale Evaluation of a Model for the Evaluation of Games for Teaching Software Engineering about?

In order to adopt games for Software Engineering (SE) education effectively it is essential to obtain sound evidence on their quality. A prominent evaluation model is MEEGA (Model for the Evaluation of Educational Games), which provides a systematic support to evaluate the game's quality in terms of motivation, user experience and learning. To facilitate its application, the model provides a questionnaire for collecting data on the perception of the students after they played an educational game in a case study with a one-shot post-test design. However, in order to assure a valid feedback on the game's quality an important issue is the reliability and validity of the questionnaire. In this respect, this article presents a large-scale evaluation of the MEEGA questionnaire in terms of reliability and construct validity. The analysis is based on data collected in 43 case studies, evaluating 20 different SE games, involving a population of 723 students. Our analysis indicates that the MEEGA questionnaire can be considered reliable (Cronbach's alpha Į=.915). In terms of construct validity, there exists evidence of convergent validity through an acceptable degree of correlation of almost

Author

Giani Petri; Christiane Gresse von Wangenheim; Adriano Ferreti Borgatto

Publisher

IEEE

Published

2017

Language

EN