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AI-Powered Gamified Scaffolding: Transforming Learning in Virtual Learning Environment

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Pubblicato in:Electronics vol. 14, no. 13 (2025), p. 2732-2757
Autore principale: Jiang, Xuemei
Altri autori: Wang, Rui, Hoang Thuong, Ranaweera Chathurika, Dong Chengzu, Myers, Trina
Pubblicazione:
MDPI AG
Soggetti:
Students
Language acquisition
Storytelling
Teaching methods
Investigations
Computer assisted instruction > CAI
Prototypes
School environment
Scaffolding
Gamification
English as a second language learning
Learning management systems
Empirical analysis
Learning environment
Learning strategies
Motivation
Second language learning
Bibliometrics
Artificial intelligence
Educational objectives
Hypotheses
Instructional scaffolding
Task-based language teaching
Self-efficacy
Problem based learning
Education
Virtual environments
English language
Research methodology
Self regulation
English as a second language
Student participation
Language
Groups
Learning
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Abstract:Gamification has the potential to significantly enhance student engagement and motivation in educational contexts. However, there is a lack of empirical research that compares different guiding strategies between AI-driven gamified and non-gamified modes in virtual learning environments to scaffold language learning. This paper presents an empirical study that examines the impact of AI-driven gamification and learning strategies on the learning experience and outcomes in virtual environments for English-language learners. A gamified English learning prototype was designed and developed. A between-group experiment was established to compare different gamified scaffolding groups: a traditional linear group (storytelling), an AI-driven gamified linear group (task-based learning), and a gamified exploration group (self-regulated learning). One hundred students learning English as a second language participated in this study, and their learning conditions were evaluated across three dimensions: engagement, performance, and experience. The results suggest that traditional learning methods may not be as effective as the other two approaches; there may be other factors beyond in-game interaction and engagement time that influence learning and engagement. Moreover, the results show that different gamified learning modes are not the key factor affecting language learning. The research presents guidelines that can be applied when gamification and AI are utilised in virtual learning environments.
ISSN:2079-9292
DOI:10.3390/electronics14132732
Fonte:Advanced Technologies & Aerospace Database