Abstract
AbstractThe study’s primary contribution is a game-based cognitive intervention tool for young learners with reading difficulties. The second contribution is the game designer's guide tool, which provides a set of recommended design guidelines for designers, developers and researchers that create games for children. The tools were designed and developed in the ReaDi-STANCE project and are accessible on the project’s platform (ReaDi-STANCE platform home page: https://www.cs.ucy.ac.cy/projects/readistance/). The platform has the following main modules integrated: a management support module, an algorithm module to rotate in a predefined order the games the child end-user plays, a prompting stages module to support the child end-user during gameplay, and a data analytics module that researchers can use. Two different groups of experts conducted two evaluations to evaluate: (1) a corpus of game design themes and guidelines for children, extracted from the respective literature, to develop the game designer's guide tool and (2) the extent of application of the design above guidelines in the game-based cognitive intervention tool. We present the intervention impact results and discuss their effect on improving reading skills in poor readers.
Funder
Cyprus Research Promotion Foundation
University of Cyprus
Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Boden C, Kirby JR. Successive processing, phonological coding, and the remediation of reading. J Cognit Educ. 1995;4(2/3):19–32.
2. Carlson H. 1996. Improving reading among underachieving children in Chapter One programs. In INTERNATIONAL JOURNAL OF PSYCHOLOGY, Vol. 31. PSYCHOLOGY PRESS 27 CHURCH RD, HOVE, EAST SUSSEX, ENGLAND BN3 2FA, 3824–3824.
3. Carlson JS, Das JP. A process approach to remediating word-decoding deficiencies in Chapter 1 children. Learn Disabil Q. 1997;20(2):93–102.
4. Cheung ACK, Slavin RE. Effects of educational technology applications on reading outcomes for struggling readers: A best-evidence synthesis. Read Res Q. 2013;48(3):277–99.
5. Christoforou C, Ktisti C, Richardson U, Papadopoulos TC. Microgenetic analysis of reading remediation: a novel computational framework. Adv Cogn Psychol. 2023;19(2023):297–315.