INTRODUCTION TO LEARNING ANALYTICS ADOPTION IN HIGHER EDUCATION INSTITUTIONS
Ключові слова:
Learning analytics, data mining, educational technology, decision supportАнотація
Educational data mining and Learning analytics represent a pair of research disciplines, which cover the majority of these data mining techniques, methods, applications as well as data mining tools in the area of education. The main aim of the paper is to summarize the main characteristics of Learning Analytics and focus on the approaches and frameworks used for its successful adoption and implementation of the environment of higher educational institutions.
Завантаження
Посилання
Arroway, P., Morgan, G., O’Keefe, M., Yanosky, R. (2016). Learning Analytics in Higher Education. Research report. Louisville, CO: ECAR, March 2016.
Baker, R. S. J. D., and Yacef, K., 2009. The State of Educational Data Mining in 2009: A Review and Future Visions. Journal of Educational Data Mining 1 (1), 3–17.
Bienkowski, M., Feng, M. and Means, B.,2010. Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics. An Issue Brief. SRI International. An issue brief. Washington, DC: U.S. Department of Education Office of Educational Technology. http://www.ed.gov/edblogs/technology/files/2012/03/edm–la–brief.pdf
Buckingham Shum, S. (2011). Learning Analytics: Notes on the Future. Webinar for LearningAnalytics.net Open Course.
Buckingham Shum, S. (2013). Designing Systemic Learning Analytics at the Open University. August 2017, https://www.slideshare.net/sbs/designing-systemic-learning-analytics-at-the-open-university
Drlik, M., Skalka, J. (2011). Virtual Faculty Development Using Top-down Implementation Strategy and Adapted EES Model. World Conference on Educational Technology Researches-2011, 28, 6. doi: 10.1016/j.sbspro.2011.11.117
Drachsler, H. and Greller, W., 2012. The Pulse of Learning Analytics Understandings and Expectations from the Stakeholders. In: Proceedings of LAK12: 2nd International Conference on Learning Analytics & Knowledge, New York, NY: Association for Computing Machinery, 252–254.
Duval, E. (2012). Learning Analytics and Educational Data Mining, Erik Duval’s Weblog, 30 January 2012, July 2017, https://erikduval.wordpress.com/2012/01/30/learning-analytics-and-educational-data-mining/
Ferguson, R. (2012). Learning analytics: drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5/6), 304–317.
Gašević, D., Dawson, S., Rogers, T., Gašević, D. (2016). Learning analytics should not promote one size fits all: The effects of course‐specific technology use in predicting academic success. The Internet and Higher Education, 28, 68–84.
Greller, W., Drachsler, H., 2012. Translating Learning into Numbers: Toward a Generic Framework for Learning Analytic. The Educational Technology and Society (JETS). Special Issue on Learning Analytics. 15(3).
Head, B. W., Alford, J. (2013). Wicked problems: Implications for public policy and management. Administration & Society. doi:10.1177/0095399713481601
JISC, Effective Learning Analytics, 5th UK Learning Analytics Network Event (2016), August 2017, https://analytics.jiscinvolve.org/wp/2016/02/16/notes-and-presentations-from-5th-uk-learning-analytics-network-event-in-london/
Johnson, L., Smith, R., Willis, H., Levine, A. and Haywood, K., 2011. The 2011 Horizon Report. Austin, The New Media Consortium. June 2017, http://net.educause.edu/ir/library/pdf/HR2011.pdf.
Macfadyen, L., Dawson, S., Pardo, A., Gašević, D., (2014). The learning analytics imperative and the sociotechnical challenge: Policy for complex systems. Research & Practice in Assessment, 9 (Winter 2014), 17-28.
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A. H. (2011). Big data: The next frontier for innovation, competition and productivity. McKinsey Global Institute. May 2017, http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation
Peña-Ayala, A., 2014. Educational data mining: A survey and a data mining-based analysis of recent works. Expert Systems with Applications, Volume 41, Issue 4, Part 1, March 2014, 1432-1462, ISSN 0957-4174, http://dx.doi.org/10.1016/j.eswa.2013.08.042.
Pineda, L. (2016). Learning Analytics Adoption and Implementation Trends Identifying Organizational and Technical Patterns. Unicon.
Romero, C. and Ventura, S., 2010. Educational data mining: a review of the state of the art. Trans. Sys. Man Cyber Part C 40 (6), 601-618.
Romero, C., Ventura, S., Pechenizkiy, M. and Baker, Ryan S.J.d. (Eds.), 2010. Handbook of Educational Data Mining. Chapman & Hall/CRC Data Mining and Knowledge Discovery Series.
Siemens, G., and R. S. J. d. Baker., 2012. Learning Analytics and Educational Data Mining: Towards Communication and Collaboration. In: Proceedings of LAK12: 2nd International Conference on Learning Analytics & Knowledge, New York, NY: Association for Computing Machinery, 252–254.
Siemens, G., Dawson, S., Lynch, G. (2014). Improving the Quality and Productivity of the Higher Education Sector ‐Policy and Strategy for Systems‐Level Deployment of Learning Analytics. Canberra, Australia: Office of Learning and Teaching, Australian Government. June 2017, http://solaresearch.org/Policy_Strategy_Analytics.pdf
Skalka, J., Drlik, M. and Svec, P. 2013. Knowledge Discovery from University Information Systems for Purposes of Quality Assurance Implementation. Paper presented at the IEEE Global Engineering Education Conference (EDUCON), Berlin, GERMANY.
Skalka, J., Svec, P., and Drlik, M. 2012. E-learning and Quality: The Quality Evaluation Model for E-learning Courses. Divai 2012: 9th International Scientific Conference on Distance Learning in Applied Informatics: Conference Proceedings, 279-287.
Wong, A., Lavrencic, M., Khosravi, H. (2017). An Overview of Learning Analytics in Higher Education. University of Queensland. July 2017, http://www.cs.ubc.ca/~hkhosrav/pub/learninganalytics.pdf
Yi-Shan Tsai, Grasevic, D. (2016). Adoption of Learning Analytics in Higher Education: State, Challenges, and Policies.
Yi-Shan Tsai, Gasevic, D. (2017). Learning analytics in higher education --- challenges and policies: a review of eight learning analytics policies. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (LAK '17). ACM, New York, NY, USA, 233-242. DOI: https://doi.org/10.1145/3027385.3027400
Tynan, B., Buckingham Shum, S. (2013). Designing Systemic Learning Analytics at the Open University. Webinar in the SoLAR online open course Strategy & Policy for Systemic Learning Analytics.
Young, J., Mendizabal, E. (2009). Helping researchers become policy entrepreneurs: How to develop engagement strategies for evidence–based policy–making. (Briefing Paper) ODI briefing Papers. London, UK.
1.jpg)
