Learning analytics for online game-Based learning
A systematic literature review
Bibliographic Data
| ID | 21453210 |
|---|---|
| Authors | Seyyed Kazem Banihashem (0000-0002-9978-3783, Open University of the Netherlands, corresponding author), Hojjat Dehghanzadeh (0000-0001-9933-2192, Urmia University), Douglas Clark (0000-0001-5604-3606, University of Calgary), Douglas B Clark (0000-0002-4757-8446, University of Calgary), Omid Noroozi (0000-0002-0622-289X, Wageningen University & Research), H J A Biemans (0000-0003-2955-8211, University of Calgary) |
| Year | 2024 |
| Volume | 43 |
| Issue | 12 |
| Pages | 2689-2716 |
| Publication date | 2024-09-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Behaviour and Information Technology (JOURNAL) |
| Journal identifiers | ISSN: 0144-929X • E-ISSN: 1362-3001 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0144929x.2023.2255301 |
| OpenAlex | W4386846085 |
| Language | EN |
| Citations received | 14 |
| References cited | 113 |
Game-based learning researchers have been investigating various means to maximise learning in educational games. One promising venue in recent years has been the use of learning analytics in online game-based learning environments. However, little is known about how different elements of learning analytics (e.g. data types, techniques methods, and stakeholders) contribute to game-based learning practices within online learning environments. There is a need for a comprehensive review to bridge this gap. In this systematic review, we examined the related literature in five major international databases including Web of Science, Scopus, ERIC, IEEE, and compiled Proceedings of the International Conference on Learning Analytics and Knowledge. Twenty relevant publications were identified and analysed. The analysis was conducted using four core elements of learning analytics, namely the types of data that the system collects (what), the methods used for performing analytics (how), the reasons the system captures, analyzes, and reports data (why), and the recipients of the analytics (who). This study synthesises the existing literature, provides a conceptual framework as to how learning analytics can enhance online game-based learning practices in higher education, and sets the agenda for future research
Analytics · Bridge (graph theory) · Data science · Knowledge management · Learning analytics · Scopus · The Internet · Web analytics · Web development · Web intelligence · World Wide Web · Computer Science · E-Learning and Knowledge Management · Educational Games and Gamification · Online Learning and Analytics
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| Unique citing works | 14 |
|---|---|
| Citations per year | 7 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |