The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Academic Analytics and Data Mining in Higher Education
Open accessAbstract
The emerging fields of academic analytics and educational data mining are rapidly producing new possibilities for gathering, analyzing, and presenting student data. Faculty might soon be able to use these new data sources as guides for course redesign and as evidence for implementing new assessments and lines of communication between instructors and students. This essay links the concepts of academic analytics, data mining in higher education, and course management system audits and suggests how these techniques and the data they produce might be useful to those who practice the scholarship of teaching and learning.
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Educational Data Mining: A review of the state of the art
Romero, C., & Ventura, S. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2010.2053532 · Cited by 2,251
Privacy in Context: Technology, Policy, and the Integrity of Social Life
Nissenbaum, H. (2009) · doi:10.1515/9780804772891 · Cited by 2,129
Educational data mining: A survey from 1995 to 2005
Romero, C., & Ventura, S. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.04.005 · Cited by 1,482
Data mining in course management systems: Moodle case study and tutorial
Romero, C., Ventura, S., & García, E. (2008) · Computers & Education · doi:10.1016/j.compedu.2007.05.016 · Cited by 1,058
Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests
Ajjan, H., & Hartshorne, R. (2008) · The Internet and Higher Education · doi:10.1016/j.iheduc.2008.05.002 · Cited by 965
Privacy in context: technology, policy, and the integrity of social life
(2010) · Choice Reviews Online · doi:10.5860/choice.47-6940 · Cited by 928
Academic Analytics: A New Tool for a New Era.
Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007) · Educational Review · Cited by 539
Lonn, S., & Teasley, S. D. (2009) · Computers & Education · doi:10.1016/j.compedu.2009.04.008 · Cited by 467
Privacy in context technology, policy, and the integrity of social life
Nissenbaum, H. (2009) · Cited by 317
Applying Data Mining Techniques to e-Learning Problems
Castro, F., Vellido, A., Nebot, À., & Mugica, F. (2007) · Studies in Computational Intelligence · doi:10.1007/978-3-540-71974-8_8 · Cited by 276
Cited by
Learning analytics: drivers, developments and challenges
Ferguson, R. (2012) · International Journal of Technology Enhanced Learning · doi:10.1504/ijtel.2012.051816 · Cited by 1,354
Application and theory gaps during the rise of artificial intelligence in education
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100002 · Cited by 1,003
Romero, C., & Ventura, S. (2013) · WIREs Data Mining and Knowledge Discovery · doi:10.1002/widm.1075 · Cited by 869
Big Data and analytics in higher education: Opportunities and challenges
Daniel, B. (2015) · British Journal of Educational Technology · doi:10.1111/bjet.12230 · Cited by 610
(2012) · Cited by 311
Metadata
- Authors
- Baepler, P., & Murdoch, C.
- Venue
- International Journal for the Scholarship of Teaching and Learning
- Publisher
- Georgia Southern University
- Published
- 2010-07-01
- Volume
- 4
- Issue
- 2
- ISSN
- 1931-4744 (ISSN-L)
- OpenAlex
- W2160197528
- Cited by
- 257
- References
- 21
- FWCI
- 22.63
- Type
- journal article
- Language
- en
- Open access
- diamond
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
