1,148
Views
18
CrossRef citations to date
0
Altmetric
Articles

Mapping the study of learning analytics in higher education

ORCID Icon, , , &
Pages 1142-1155 | Received 13 Dec 2017, Accepted 18 Sep 2018, Published online: 20 Oct 2018

References

  • Agudo-Peregrina, ÁF, S. Iglesias-Pradas, MÁ Conde-González, and Á Hernández-García. 2014. “Can we Predict Success From log Data in VLEs? Classification of Interactions for Learning Analytics and Their Relation with Performance in VLE-Supported F2F and Online Learning.” Computers in Human Behavior 31 (2): 542–550. doi: 10.1016/j.chb.2013.05.031
  • Angeli, C., S. Howard, J. Ma, J. Yang, and P. A. Kirschner. 2017. “Data Mining in Educational Technology Classroom Research: Can it Make a Contribution?” Computers & Education.
  • Baker, R. S., and K. Yacef. 2009. “The State of Educational Data Mining in 2009: A Review and Future Visions.” Journal of Educational Data Mining 1 (1): 3–17.
  • Bandara, W., E. Furtmueller, E. Gorbacheva, S. Miskon, and J. Beekhuyzen. 2015. “Achieving Rigor in Literature Reviews: Insights From Qualitative Data Analysis and Tool-Support.” Communications of the Association for Information Systems 37: 154–204.
  • Bates, D. W., S. Saria, L. Ohnomachado, A. Shah, and G. Escobar. 2014. “Big Data in Health Care: Using Analytics to Identify and Manage High-Risk and High-Cost Patients.” Health Affairs 33 (7): 1123–1131. doi: 10.1377/hlthaff.2014.0041
  • Beck, J. E. (2007, July). “Difficulties in Inferring Student Knowledge From Observations (and why you Should Care).” In Educational data mining: supplementary proceedings of the 13th international conference of artificial intelligence in education, 21–30.
  • Beck, J. E., and K. M. Chang. 2007. “Identifiability: A Fundamental Problem of Student Modeling.” User Modeling 2007: 137–146.
  • Boyd, D., and K. Crawford. 2012. “Critical Questions for Big Data.” Information Communication & Society 15 (5): 662–679. doi: 10.1080/1369118X.2012.678878
  • Bra, P. D. 2005. Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. Kluwer Academic Publishers.
  • Chatti, M. A., A. L. Dyckhoff, U. Schroeder, and H. Thüs. 2012. “A Reference Model for Learning Analytics.” International Journal of Technology Enhanced Learning 4 (5/6): 318–331. doi: 10.1504/IJTEL.2012.051815
  • Chen, C. 2006. “CiteSpace II: Detecting and Visualizing Emerging Trends and Transient Patterns in Scientific Literature.” Journal of the American Society for Information Science and Technology 57 (3): 359–377. doi: 10.1002/asi.20317
  • Chen, C. 2017. “Science Mapping: A Systematic Review of the Literature.” Journal of Data and Information Science 2 (2): 1–40. doi: 10.1515/jdis-2017-0006
  • Chen, H., R. H. L. Chiang, and V. C. Storey. 2012. “Business Intelligence and Analytics: From big Data to big Impact.” Mis Quarterly 36 (4): 1165–1188.
  • Chen, B., M. Resendes, C. S. Chai, and H. Y. Hong. 2017. “Two Tales of Time: Uncovering the Significance of Sequential Patterns among Contribution Types in Knowledge-Building Discourse.” Interactive Learning Environments 25 (2): 162–175. doi: 10.1080/10494820.2016.1276081
  • Chigne, H. S., J. E. L. Gayo, M. E. A. Obeso, P. O. D. Pablos, and J. M. C. Lovelle. 2016. “Towards the Implementation of the Learning Analytics in the Social Learning Environments for the Technology-Enhanced Assessment in Computer Engineering Education.” International Journal of Engineering Education 32 (4): 1637–1646.
  • Cho, H., J.-S. Lee, M. Stefanone, and G. Gay. 2005. “Development of Computer-Supported Collaborative Social Networks in a Distributed Learning Community.” Behaviour & Information Technology 24 (6): 435–447. doi: 10.1080/01449290500044049
  • Cook, K. A., and J. J. Thomas. 2005. “Illuminating the Path: The Research and Development Agenda for Visual Analytics.” Computer Graphics.
  • Dean, J., and S. Ghemawat. 2008. “MapReduce: Simplified Data Processing on Large Clusters.” Communications of the ACM 51 (1): 107–113. doi: 10.1145/1327452.1327492
  • Drachsler, H., and W. Greller. 2012. “Confidence in Learning Analytics.” Educational Technology & Society.
  • Drake, M. 2004. “Encyclopedia of Library and Information Science.” Library Quarterly Information Community Policy 12 (4): 395–421.
  • Ferguson, R. 2012. “Learning Analytics: Drivers, Developments and Challenges (Vol. 4(5/6)).” International Journal of Technology Enhanced Learning.
  • Ferguson, R., and S. B. Shum. 2012. “Social Learning Analytics: Five Approaches.” Paper presented at the international conference on learning analytics and knowledge.
  • Gašević, D., S. Dawson, and G. Siemens. 2015. “Let’s not Forget: Learning Analytics are About Learning.” Techtrends 59 (1): 64–71. doi: 10.1007/s11528-014-0822-x
  • Gedeon, T. D., and S. Turner. 1993, October. “Explaining Student Grades Predicted by a Neural Network.” International Joint Conference on Neural Networks, 1993. IJCNN ‘93-Nagoya, 1, 609-612.
  • Giuseppe, T. 2014. L’analisi del contenuto ei mass media. Il Mulino, Itinerari.
  • Gong, Y., J. E. Beck, and N. T. Heffernan. 2011. “How to Construct More Accurate Student Models: Comparing and Optimizing Knowledge Tracing and Performance Factor Analysis.” International Journal of Artificial Intelligence in Education 21 (1): 27–46.
  • Gumport, P. J., and M. Chun. 1999. Technology and Higher Education: Opportunities and Challenges for the new era. National Center for Postsecondary Improvement, Stanford University, School of Educaiton.
  • Hämäläinen, W., and M. Vinni. 2006. “Comparison of Machine Learning Methods for Intelligent Tutoring Systems.” In Intelligent Tutoring Systems, 525–534. doi: 10.1007/11774303_52
  • Hegde, V., N. C. Deepika, and K. Sushmitha. 2015. “Evaluation of Student Performance Using Z-Score and k-Means.” International Journal of Applied Engineering Research 10 (10): 25347–25354.
  • Hernández-García, Á, I. González-González, A. I. Jiménez-Zarco, and J. Chaparro-Peláez. 2015. “Applying Social Learning Analytics to Message Boards in Online Distance Learning: A Case Study.” Computers in Human Behavior 47 (C): 68–80. doi: 10.1016/j.chb.2014.10.038
  • Hien, N. T. N., and P. Haddawy. 2007, October. “A Decision Support System for Evaluating International Student Applications.” Frontiers In education conference-global engineering: knowledge without borders, opportunities without passports, 2007. FIE'07. 37th annual. IEEE., F2A-1-F2A-6.
  • Hjørland, B., and H. Albrechtsen. 1995. “Toward a new Horizon in Information Science: Domain-Analysis.” Journal of the American Society for Information Science 46 (6): 400–425. doi: 10.1002/(SICI)1097-4571(199507)46:6<400::AID-ASI2>3.0.CO;2-Y
  • Hlapanis, G., and A. Dimitrakopoulou. 2007. “A Course Model Implemented in a Teacher's Learning Community Context: Issues of Course Assessment.” Behaviour & Information Technology 26 (6): 561–578. doi: 10.1080/01449290600691210
  • Johnson, R. 2000. “The Authority of the Student Evaluation Questionnaire.” Teaching in Higher Education 5 (4): 419–434. doi: 10.1080/713699176
  • Johnson, L., S. Adams, and M. Cummins. 2011. “Technology Outlook for Australian Tertiary Education 2012–2017: An NMC Horizon Report Regional Analysis.” New Media Consortium. 6101 West Courtyard Drive Building One Suite 100, Austin, TX 78730., 28.
  • Knight, S., B. Rienties, K. Littleton, M. Mitsui, D. Tempelaar, and C. Shah. 2017. “The Relationship of (Perceived) Epistemic Cognition to Interaction with Resources on the Internet.” Computers in Human Behavior 73: 507–518. doi: 10.1016/j.chb.2017.04.014
  • Ko, S., and S. Rossen. 2000. Teaching Online: A Practical Guide. Houghton Mifflin Co.
  • Lapadat, J. 2007. “Discourse Devices Used to Establish Community, Increase Coherence, and Negotiate Agreement in an Online University Course.” Journal of Distance Education 21 (3): 59–92.
  • Lau, K. H. V., P. Farooque, G. Leydon, M. L. Schwartz, R. M. Sadler, and J. J. Moeller. 2018. “Using Learning Analytics to Evaluate a Video-Based Lecture Series.” Medical Teacher 40 (1): 91–98. doi: 10.1080/0142159X.2017.1395001
  • Levy, S. 2003. “Six Factors to Consider When Planning Online Distance Learning Programs in Higher Education.” Online Journal of Distance Learning Administration 6 (1).
  • Lytras, M. D., E. Damiani, and H. Mathkour. 2016. “Virtual Reality in Learning, Collaboration and Behaviour: Content, Systems, Strategies, Context Designs.” Behaviour & Information Technology 35 (11): 877–878. doi: 10.1080/0144929X.2016.1235815
  • Lytras, M. D., A. Visvizi, and M. A. Rosen. 2018. “Who Uses Smart City Services and What to Make of It: Toward Interdisciplinary Smart Cities Research.” Sustainability 10 (6): 1998. doi: 10.3390/su10061998
  • Macfadyen, L. P., and S. Dawson. 2010. “Mining LMS Data to Develop an “Early Warning System” for Educators: A Proof of Concept.” Computers & Education 54 (2): 588–599. doi: 10.1016/j.compedu.2009.09.008
  • Mazza, R., and V. Dimitrova. 2007. “CourseVis: A Graphical Student Monitoring Tool for Supporting Instructors in web-Based Distance Courses.” International Journal of Human-Computer Studies 65 (2): 125–139. doi: 10.1016/j.ijhcs.2006.08.008
  • Moed, H. F. 2006. Citation Analysis in Research Evaluation (Vol. 9). Springer Science & Business Media.
  • Muhammad, G., M. Hussain, M. Al-Hammadi, H. Aboalsamh, H. Mathkour, and A. S. Malik. 2016. “Short-term and Long-Term Memory Analysis of Learning Using 2D and 3D Educational Contents.” Behaviour & Information Technology 35 (11): 958–967. doi: 10.1080/0144929X.2016.1212094
  • Narin, F. 1976. “Evaluative Bibliometrics: The Use of Publication and Citation Analysis in the Evaluation of Scientific Activity.” Computer Horizons, 206–219.
  • O'Neill, T. A., A. Deacon, N. L. Larson, G. C. Hoffart, R. W. Brennan, M. Eggermont, and W. Rosehart. 2015. “Life-long Learning, Conscientious Disposition, and Longitudinal Measures of Academic Engagement in Engineering Design Teamwork.” Learning and Individual Differences 39: 124–131. doi: 10.1016/j.lindif.2015.03.022
  • Pedregosa, F., A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, and J. Vanderplas. 2012. “Scikit-learn: Machine Learning in Python.” Journal of Machine Learning Research 12 (10): 2825–2830.
  • Peña-Ayala, A. 2014. “Educational Data Mining: A Survey and a Data Mining-Based Analysis of Recent Works.” Expert Systems with Applications 41 (4): 1432–1462. doi: 10.1016/j.eswa.2013.08.042
  • Petkovic, D. 2016. “Using Learning Analytics to Assess Capstone Project Teams.” Computer 49 (1): 80–83. doi: 10.1109/MC.2016.3
  • Pilkington, A., and J. Meredith. 2009. “The Evolution of the Intellectual Structure of Operations Management—1980–2006: A Citation/co-Citation Analysis.” Journal of Operations Management 27 (3): 185–202. doi: 10.1016/j.jom.2008.08.001
  • Pinantoan, A. 2013. “How Google Glass Can Be Used in Education.” Open Colleges.
  • Reuters, T. 2014. “Thomson Reuters Web Of Science.”
  • Romero, C., and S. Ventura. 2007. “Educational Data Mining: A Survey From 1995 to 2005.” Expert Systems with Applications 33 (1): 135–146. doi: 10.1016/j.eswa.2006.04.005
  • Romero, C., and S. Ventura. 2010. “Educational Data Mining: A Review of the State of the Art.” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 40 (6): 601–618. doi: 10.1109/TSMCC.2010.2053532
  • Romero, C., and S. Ventura. 2013. “Data Mining in Education.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3 (1): 12–27.
  • Romero, C., S. Ventura, and E. García. 2008. “Data Mining in Course Management Systems: Moodle Case Study and Tutorial.” Computers & Education 51 (1): 368–384. doi: 10.1016/j.compedu.2007.05.016
  • Schrire, S. 2004. “Interaction and Cognition in Asynchronous Computer Conferencing.” Instructional Science An International Journal of Learning & Cognition 32 (6): 475–502.
  • Shum, S. B., and R. Ferguson. 2012. “Social Learning Analytics.” Journal of Educational Technology & Society 15 (3): 3–26.
  • Siemens, G. 2009. “Technologically Externalized Knowledge and Learning.” Conneetvism: Networked and Social Learning 23 (2): 11–18.
  • Siemens, G. 2010. “What are Learning Analytics.” Accesssed March, 10, 2011.
  • Siemens, G. 2013. “Learning Analytics The Emergence of a Discipline.” American Behavioral Scientist 57 (10): 1380–1400. doi: 10.1177/0002764213498851
  • Siemens, G., and P. Long. 2011. “Penetrating the Fog: Analytics in Learning and Education.” Educause Review 46 (50): 30.
  • Sin, K., and L. Muthu. 2015. “Application of big Data in Education Data Mining and Learning Analytics – a Literature Review.” Ictact Journal on Soft Computing 5 (4): 1035–1049. doi: 10.21917/ijsc.2015.0145
  • Slade, S., and P. Prinsloo. 2013. “Learning Analytics Ethical Issues and Dilemmas.” American Behavioral Scientist 57 (10): 1510–1529. doi: 10.1177/0002764213479366
  • Small, H. 1973. “Co-Citation in the Scientific Literature: A new Measure of the Relationship Between two Documents.” Journal of the American Society for Information Science & Technology 24 (4): 265–269. doi: 10.1002/asi.4630240406
  • Synnestvedt, M. B., C. Chen, and J. H. Holmes. 2005. “CiteSpace II: Visualization and Knowledge Discovery in Bibliographic Databases.” AMIA … annual symposium proceedings / AMIA symposium. AMIA symposium, 2005, 724.
  • Tannen, D. 2012. “Discourse Analysis–What Speakers Do in Conversation.” Linguistic Society of America.
  • Tempelaar, D. T., B. Rienties, and B. Giesbers. 2015. “In Search for the Most Informative Data for Feedback Generation: Learning Analytics in a Data-Rich Context.” Computers in Human Behavior 47 (C): 157–167. doi: 10.1016/j.chb.2014.05.038
  • Tempelaar, D. T., B. Rienties, and N. Quan. 2017. “Towards Actionable Learning Analytics Using Dispositions.” IEEE Transactions on Learning Technologies 10 (1): 6–16. doi: 10.1109/TLT.2017.2662679
  • Timmis, S., P. Broadfoot, R. Sutherland, and A. Oldfield. 2015. “Rethinking Assessment in a Digital age: Opportunities, Challenges and Risks.” British Educational Research Journal 42 (3): 454–476. doi: 10.1002/berj.3215
  • Visvizi, A. 2015. Education, (Production of) Knowledge and Progress in the Context of the Global Public Goods Debate.
  • Visvizi, A., M. Lytras, and L. Daniela. 2018. (Re) Defining Smart Education: Towards Dynamic Education and Information Systems for Innovation Networks.
  • Wang, T., and A. Mitrovic. 2002. “Using Neural Networks to Predict Student's Performance.” Paper presented at the In computers in education, 2002. proceedings. international conference on (pp. 969-973). IEEE.
  • Williams, P. 2017. “Assessing Collaborative Learning: big Data, Analytics and University Futures.” Assessment & Evaluation in Higher Education 42 (6): 978–989. doi: 10.1080/02602938.2016.1216084
  • Witten, I. H., and E. Frank. 2005. “Data Mining :Practical Machine Learning Tools and Techniques.” Acm Sigmod Record 31 (1): 76–77. doi: 10.1145/507338.507355
  • Wu, A. K. W., and C. H. Leung. 2002, December. “Evaluating Learning Behavior of Web-Based Training (WBT) Using Web Log.” Paper presented at the In computers in education, 2002. proceedings. international conference on (pp. 736-737). IEEE.
  • Yuan, F. 1997. Social Research Methods Course. Peking University Press.
  • Zhang, J., Y. X. Zhang, Q. Zou, and S. Huang. 2018. “What Learning Analytics Tells Us: Group Behavior Analysis and Individual Learning Diagnosis Based on Long-Term and Large-Scale Data.” Educational Technology & Society.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.