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A survey on educational process mining
Open accessAbstract
Educational process mining (EPM) is an emerging field in educational data mining (EDM) aiming to make unexpressed knowledge explicit and to facilitate better understanding of the educational process. EPM uses log data gathered specifically from educational environments in order to discover, analyze, and provide a visual representation of the complete educational process. This paper introduces EPM and elaborates on some of the potential of this technology in the educational domain. It also describes some other relevant, related areas such as intentional mining, sequential pattern mining and graph mining. It highlights the components of an EPM framework and it describes the different challenges when handling event logs and other generic issues. It describes the data, tools, techniques and models used in EPM. In addition, the main work in this area is described and grouped by educational application domains.WIREs Data Mining Knowl Discov 2018, 8:e1230. doi: 10.1002/widm.1230 This article is categorized under:Application Areas > Business and Industry Application Areas > Education and Learning Application Areas > Government and Public Sector
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Cited by
Educational data mining and learning analytics: An updated survey
Romero, C., & Ventura, S. (2020) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1355 · Cited by 1,120
Self-citationMaldonado-Mahauad, J., Pérez-Sanagustín, M., Kizilcec, R. F., Morales, N., & Munoz-Gama, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2017.11.011 · Cited by 299
Okoye, K., Arrona-Palacios, A., Camacho-Zuñiga, C., Achem, J. A. G., Escamilla, J., & Hosseini, S. (2022) · Education and Information Technologies · doi:10.1007/s10639-021-10751-5 · Cited by 112
Monllaó Olivé, D., Huynh, D. Q., Reynolds, M., Dougiamas, M., & Wiese, D. (2020) · Journal of Computing in Higher Education · doi:10.1007/s12528-019-09230-1 · Cited by 64
Dobashi, K., Ho, C. P., Fulford, C. P., Grace Lin, M.-F., & Higa, C. (2022) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2022.100105 · Cited by 35
Metadata
- Authors
- Bogarín, A., Cerezo, R., & Romero, C.
- Venue
- WIREs Data Mining and Knowledge Discovery
- Publisher
- Wiley
- Published
- 2017-09-28
- Volume
- 8
- Issue
- 1
- ISSN
- 1942-4787 (ISSN-L)
- 1942-4795
- OpenAlex
- W2757875814
- Cited by
- 233
- References
- 0
- FWCI
- 24.66
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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