Development and Validation of Survey Instrument on Game-Based Learning Approach (SIGBLA)

Proceedings of The 4th International Conference on Modern Research in Education, Teaching and Learning

Year: 2022



Development and Validation of Survey Instrument on Game-Based Learning Approach (SIGBLA)

Joana DG. Quinto



The purpose of this study was to develop and psychometrically evaluate an instrument that analyses game-based learning holistically across a number of critical characteristics. On the other hand, qualitative feedback is difficult to collect in the absence of a quality rating method. There is an urgent need for a comprehensive scale that has been psychometrically validated and is suited for assessing game-based learning knowledge, perceptions, and attitudes. The approach for developing and validating these new scales followed current best practices for scale development and validation. As a result, a mixed-methods design was used, which comprised the establishment of an item pool, expert review, a questionnaire pilot study, exploratory factor analysis (N = 174 and N = 284), and parallel analysis. The Survey Instrument on Game-Based Learning Approach (SIGBLA), an instrument for assessing knowledge perception and attitudes towards game-based learning, has been developed. It comprises of three subscales. The SIGBLA was determined to have exhibited content validity, dependability, and internal consistency. The tools were developed and validated using data from assessments of a number of educational games. This method is adaptable to a wide variety of instructional digital games and can be used to ascertain which components of a game contribute to users’ knowledge, perceptions, and attitudes. Additionally, it is relevant to a variety of other sorts of digital games used in the educational sector. As a result, the SIGBLA may be used to characterize the psychometric properties of various types of digital games played by various sorts of users.

keywords: game-based learning, digital games, assessment instrument, content validity, reliability .