A smart collaborative educational game with learning analytics to support english vocabulary teaching

Ahmed Tlili, Sarra Hattab, Fathi Essalmi, Nian Shing Chen, Ronghuai Huang, Kinshuk, Maiga Chang, Daniel Burgos

Research output: Contribution to journalJournal Articlepeer-review

10 Citations (Scopus)

Abstract

Learning Analytics (LA) approaches have proved to be able to enhance learning process and learning performance. However, little is known about applying these approaches for second language acquisition using educational games. Therefore, this study applied LA approaches to design a smart collaborative educational game, to enhance primary school children learning English vocabularies. Specifically, the game provided dashboards to the teachers about their students in a real-time manner. A pilot experiment was conducted in a public primary school where the students’ data from experimental and control groups, namely learning and motivation test scores, interview and observation, were collected and analyzed. The obtained results showed that the experimental group (who used the smart game with LA) had significantly higher motivation and performance for learning English vocabularies than the control group (who used the smart game without LA). The findings of this study can help researchers and practitioners incorporate LA in their educational games to help students enhance language acquisition.

Original languageEnglish
Pages (from-to)215-224
Number of pages10
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
Volume6
Issue number6
DOIs
Publication statusPublished - 2021

Keywords

  • Collaborative Learning
  • Data Analysis
  • Educational Games
  • Language Learning
  • Learning Analytics

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