Febe Demedts, Sameh Said-Metwaly, Kristian Kiili, Manuel Ninaus, Antero Lindstedt, Bert Reynvoet, Delphine Sasanguie, Fien Depaepe
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引用次数: 0
Abstract
Background
The potential of adaptive feedback in digital educational games remains largely unexplored. Fractions are a suitable topic for investigating the effectiveness of adaptive feedback, as the complexity of this domain highlights the need for adequate feedback.
Objectives
This study examines the effectiveness of explanatory adaptive feedback in a digital educational game to address two particular misconceptions regarding fractions (i.e., Natural Number Bias and Unit of Reference).
Methods
A total of 197 4th graders were randomly assigned to two different conditions, each playing a different version of a digital educational game: one with corrective feedback and one with explanatory adaptive feedback. During gameplay, we collected log data of students' item-wise correctness and misconception errors.
Results
Explanatory item response analyses indicated that correctness improved in both game versions, with a more pronounced increase for the game with explanatory adaptive feedback compared to the game with corrective feedback. However, no decrease in misconception errors was observed in either game version. Moreover, neither the type of misconception nor students' prior fraction knowledge were moderating factors. These results suggest that adaptive feedback can support students in learning fractions; however, to reduce misconception errors concrete feedback should be optimised.
期刊介绍：
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope
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