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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
Cites
(2001) · Cited by 13,930
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956) · Cited by 9,342
Learning analytics: drivers, developments and challenges
Ferguson, R. (2012) · International Journal of Technology Enhanced Learning · doi:10.1504/ijtel.2012.051816 · Cited by 1,571
Educational data mining: A survey from 1995 to 2005
Romero, C., & Ventura, S. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.04.005 · Cited by 1,558
Learning analytics and educational data mining
Siemens, G., & Baker, R. S. (2012) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2330601.2330661 · Cited by 1,091
Duval, E. (2011) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2090116.2090118 · Cited by 330
Using learning analytics to assess students' behavior in open-ended programming tasks
Blikstein, P. (2011) · International Conference on Learning Analytics and Knowledge (LAK) · doi:10.1145/2090116.2090132 · Cited by 303
Modeling multimodal human-computer interaction
Obrenović, Ž., & Starcevic, D. (2004) · Computer · doi:10.1109/mc.2004.139 · Cited by 117
Serrano-Laguna, Á., Torrente, J., Pablo Moreno-ger, A., & Fernández‐Manjón, B. (2012) · Procedia Computer Science · doi:10.1016/j.procs.2012.10.072 · Cited by 69
Adaptive Visualization of Search Results: Bringing User Models to Visual Analytics
Ahn, J., & Brusilovsky, P. L. (2009) · Information Visualization · doi:10.1057/ivs.2009.12 · Cited by 53
Hoffmann, L. (2009) · Communications of the ACM · doi:10.1145/1536616.1536624 · Cited by 51
A framework to improve evaluation in educational games
Serrano, Á., Marchiori, E. J., del Blanco, Á., Torrente, J., & Fernández‐Manjón, B. (2012) · IEEE Global Engineering Education Conference (EDUCON) · doi:10.1109/educon.2012.6201154 · Cited by 48
Visualizing topic maps for e-learning
Dicheva, D., Dichev, C., & Wang, D. (2005) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt.2005.305 · Cited by 31
Learning metaphor through mixed-reality game design and game play
Hatton, S., Birchfield, D. A., & Megowan-Romanowicz, C. (2008) · ACM SIGGRAPH Symposium on Video Games (Sandbox) · doi:10.1145/1401843.1401857 · Cited by 28
Multiplayer role games applied to problem based learning
Sancho, P., Gómez-Martín, P. P., & Fernández‐Manjón, B. (2008) · Digital Interactive Media in Entertainment and Arts · doi:10.1145/1413634.1413652 · Cited by 19
Learner interaction with algorithm visualizations
Lauer, T. (2006) · ACM SIGCSE Bulletin · doi:10.1145/1140123.1140179 · Cited by 19
Kerr, D., Chung, G. K. W. K., & Iseli, M. R. (2011) · National Center for Research on Evaluation, Standards, and Student Testing · Cited by 18
Learner interaction with algorithm visualizations
Lauer, T. (2006) · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/1140124.1140179 · Cited by 14
Adventure Game Learning Platform
Minović, M., Štavljanin, V., Milovanović, M., & Starčević, D. (2010) · International Journal of Knowledge Society Research · doi:10.4018/jksr.2010010102 · Cited by 13
Self-citationSurviving the design of educational games: Borrowing from motivation and multimodal interaction
Jovanovic, M., Starčević, D., Štavljanin, V., & Minović, M. (2008) · Conference on Human System Interactions · doi:10.1109/hsi.2008.4581432 · Cited by 11
Self-citationIntergenerational Learning through World of Warcraft
Kurniawan, S. (2008) · IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning (DIGITEL) · doi:10.1109/digitel.2008.8 · Cited by 10
Visualizing Learner Models through data aggregation: a test case
Mazzola, L., & Mazza, R. (2012) · Cited by 10
Modelling Knowledge and Game Based Learning: Model Driven Approach
Starčević, D., Milovanović, M., & Minović, M. (2011) · TUGraz OPEN Library (Graz University of Technology) · doi:10.3217/jucs-017-09-1241 · Cited by 7
Self-citationMerging interactive visualizations with hypertextbooks and course management
Rößling, G., Urquiza‐Fuentes, J., Velázquez‐Iturbide, J. Á., Naps, T. L., Hall, M. S., Karavirta, V., Kerren, A., Leska, C., Moreno, A., Oechsle, R., et al. (2006) · ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) · doi:10.1145/1189215.1189184 · Cited by 7
Eedu Elements, a Finnish K-6 school in a Mobile Game.
Ketamo, H. (2012) · Cited by 2
Alkhalifa, E. M. (2005) · IGI Global eBooks · doi:10.4018/978-1-59140-555-9.ch213 · Cited by 2
Alkhalifa, E. M. (2009) · IGI Global eBooks · doi:10.4018/978-1-60566-198-8.ch225 · Cited by 1
Research works printed but not linked: 5
- Minović M., Proceedings of European Conference on Games Based Learning ECGBL 08
- Brusilovskiy P. L., 1994, The Construction and Application of Student Models in Intelligent Tutoring Systems, Journal of Computer and Systems Sciences International, 32, 1
- Kerr D., 2011, CRESST Report 790, Los Angeles
- Mazzola L., 2011, Proceedings of The Red-Conference, Rethinking Education in the Knowledge Society (March 7--10
- Jovanović M., 2008, Proceedings of HSI 08
Cited by
Aslan, S., Alyüz, N., Tanriover, C., Mete, S. E., Okur, E., D’Mello, S. K., & Esme, A. A. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300534 · Cited by 117
Visualization Analytics for Second Language Vocabulary Learning in Virtual Worlds
Hsiao, I. Y. T., Lan, Y., Kao, C.-L., & Li, P. (2017) · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · Cited by 46
Learning Analytics and Serious Games
Shoukry, L., Göbel, S. P., & Steinmetz, R. (2014) · doi:10.1145/2656719.2656729 · Cited by 45
Real-time learning analytics system for improvement of on-site lectures
Shimada, A., Konomi, S., & Ogata, H. (2018) · Interactive Technology and Smart Education · doi:10.1108/itse-05-2018-0026 · Cited by 39
Ruipérez‐Valiente, J. A., Gomez, M. J., Martinez, P. A., & Kim, Y. J. (2021) · IEEE Access · doi:10.1109/access.2021.3086703 · Cited by 39
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
