Learning Analytics: A Way to Monitoring and Improving Students' Learning

Jose Manuel Azevedo, Cristina Torres, Ana Paula Lopes, Lurdes Babo

2017

Abstract

This paper focus on the potential contributes of Learning Analytics in the improvement students learning. The analysis of student’s data collected from Virtual Learning Environments is important to ascertain student’s engagement. This paper presents the analysis of data collected in the ambit of MatActiva project. Data was analysed with Google Analytics, Course Dedication and Moodle Reports. Promising results were obtained.

References

  1. Azevedo, J., Torres, C., Lopes, A. P. and Babo, L. (2009) 'Enhancing Math Skills With Moodle', in Proceedings of ICERI 2009 - International Conference of Education, Research and Innovation, pp. 2367-2377.
  2. Bourkoukou, O., El, E., Mohamed, B. and Adnani, E. (2016) 'A Recommender Model in E-learning Environment'. doi: 10.1007/s13369-016-2292-2.
  3. Davenport, T. H., Harris, J. G. and Morison, R. (2010) Analytics at Work: Smarter Decisions, Better Results, Harvard Business School Press Books. Boston, MA: Harvard Business Press.
  4. Dyckhoff, A. L., Zielke, D., Bültmann, M., Chatti, M. A. and Schroeder, U. (2012) 'Design and implementation of a learning analytics toolkit for teachers', Educational Technology & Society, 15(3), pp. 58-76.
  5. ECAR (2015) 'The Predictive Learning Analytics Revolution: Leveraging Learning Data for Student Success', ECAR working group paper., pp. 1-23.
  6. Graf, S., Liu, T. C., Kinshuk, Chen, N. S. and Yang, S. J. H. (2009) 'Learning styles and cognitive traits - Their relationship and its benefits in web-based educational systems', Computers in Human Behavior. Elsevier Ltd, 25(6), pp. 1280-1289. doi: 10.1016/j.chb.2009.06.005.
  7. Greller, W. and Ebner, M. (2014) 'Learning Analytics: From Theory to Practice', Communications in Computer and Information Science, 439(June). doi: 10.1007/978-3-319-08657-6.
  8. Haladyna, T. M. (2004) Developing and validating multiple-choice test items - third edition. 3rd edn. Mahwah, New Jersey: Lawrence Erlbaum Associates. doi: 10.1177/0146621605280143.
  9. Harmelen, M. van and Workman, D. (2012) 'Analytics for Learning and Teaching', CETIS Analytics Series, 1(3), pp. 1-40.
  10. Hasan, L., Morris, A. and Probets, S. (2009) 'Using Google Analytics to Evaluate the Usability of E- Commerce Sites', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5619 LNCS, pp. 697-706. doi: 10.1007/978-3-642-02806-9_81.
  11. Long, P. D. and Siemens, G. (2014) 'Penetrating the fog: analytics in learning and education', Italian Journal of Educational Technology, pp. 132-137. doi: 10.17471/2499-4324/195.
  12. Norris, D. M. and Baer, L. (2012) 'Building organizational capacity for analytics: panel proposal', Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, (February), pp. 18-19. doi: 10.1145/2330601.2330612.
  13. Norris, D. M. and Baer, L. (2013) Building organizational capacity for analytics. EDUCAUSE Publications. Available at: https://library.educause.edu/resources/2013/2/building -organizational-capacity-for-analytics.
  14. Recker, M. M., Walker, A. and Lawless, K. (2003) 'What do you recommend? Implementation and analyses of collaborative information filtering of web resources for education', Instructional Science, 31(4-5), pp. 299- 316. doi: 10.1023/A:1024686010318.
  15. Sclater, N., Peasgood, A. and Mullan, J. (2016) 'Learning analytics in higher education', (April).
  16. Siemens, G. (2011) How data and analytics can improve education, Oreilly Radar. Available at: https://www.oreilly.com/ideas/education-dataanalytics-learning (Accessed: 1 March 2017).
  17. Siemens, G. (2012) 'Learning Analytics?: Envisioning a Research Discipline and a Domain of Practice', 2nd International Conference on Learning Analytics & Knowledge, (May), pp. 4-8. doi: 10.1145/2330601.2330605.
  18. Siemens, G. and Long, P. (2011) 'Penetrating the Fog: Analytics in Learning and Education', EDUCAUSE Review, 46, pp. 30-32. doi: 10.1145/2330601.2330605.
  19. Torres, C., Lopes, A. P., Babo, L. and Azevedo, J. (2011) 'Improving Multiple-Choice Questions', US-China Education Review B. David Publishing, B(6b), pp. 1- 11. Available at: http://www.davidpublisher.org/Article/index?id=1170 9.html.
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Paper Citation


in Harvard Style

Azevedo J., Torres C., Lopes A. and Babo L. (2017). Learning Analytics: A Way to Monitoring and Improving Students' Learning . In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: A2E, ISBN 978-989-758-239-4, pages 641-648. DOI: 10.5220/0006390106410648


in Bibtex Style

@conference{a2e17,
author={Jose Manuel Azevedo and Cristina Torres and Ana Paula Lopes and Lurdes Babo},
title={Learning Analytics: A Way to Monitoring and Improving Students' Learning},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: A2E,},
year={2017},
pages={641-648},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006390106410648},
isbn={978-989-758-239-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: A2E,
TI - Learning Analytics: A Way to Monitoring and Improving Students' Learning
SN - 978-989-758-239-4
AU - Azevedo J.
AU - Torres C.
AU - Lopes A.
AU - Babo L.
PY - 2017
SP - 641
EP - 648
DO - 10.5220/0006390106410648