The DOI matches its Crossref record; 27 of the 30 references it cites were found in a registry or an index.
Real-time learning analytics in educational games
Abstract
Learning analytics is a research area that targets the problem of tracking and evaluating students learning progress. In case of educational games, traditional analytic tools can prove insufficient. Electronic games are dynamic, packed with action and learning is integral part of gameplay. Such a specific learning environment requires a specific real-time analytical tool that will adequately match the dynamic game environment. This paper presents a new form of specific visualization tool for educators to track students learning progress in real-time, while in gameplay session. The tool is based on the specially designed students learning model. Same tool can be used by students to track the game progress. Use of this tool provides educators with real-time tracking of students learning and enables them to react and influence the overall learning process.
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“the findings align with previous research, which indicates that real-time progress tracking of students facilitates the prompt identification of educational issues, allowing for customized guidance and interventions (Chen et al., 2005;Minović & Milovanović, 2013).”
From Data-Driven Decision-Making through Real-time Student Progress Monitoring: Academic Administrators Perspectives (2025) · cites this paper as Minović & Milovanović, 2013
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Metadata
- Authors
- Minović, M., & Milovanović, M.
- Affiliations
- University of Belgrade (RS)
- Venue
- Proceedings of the First International Conference on Technological Ecosystem for Enhancing Multiculturality
- Publisher
- ACM
- Published
- 2013-11-14
- Pages
- 245-251
- OpenAlex
- W2065316809
- Cited by
- 30
- References
- 30
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 2 · 2019: 1 · 2018: 5 · 2017: 4 · 2015: 3 · 2014: 3
- FWCI
- 1.23
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21) (publishedVersion)
- Repository of the University of Belgrade Faculty of Organizational Sciences (RFOS) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- learning analytics, game-based learning, real-time analytics, visualization tools, student learning models
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