Main Article Content

Abstract

Nowadays learning analytics has been growing as a science, and at the University of Turin we are interested in its potential to enhance both the teaching and the learning experience. In the last few years we have gathered data from two projects: [email protected], an online platform where students can prepare for university entry tests and browse online courses before enrolling in one, and [email protected], which offers open online university courses in various disciplines. In addition, we have also studied and analyzed the results of the teacher training experience carried out for the [email protected] project, as well as those obtained from a survey involving secondary school teachers and the possible employment of the [email protected] OERs in their everyday teaching. Our sources of data are students’ activity online, the results of formative automatic assessment, and the questionnaires given to the learners; the types of questions range from Likert scale evaluations to multiple choice, yes/no and a few open questions. In this way, the insights gained from both usage tracking and questionnaires can be used to make interventions to improve the teaching and the learning experience. In this paper we discuss the different ways we employ LA in our projects and try to evaluate their effectiveness in terms of outcomes, structure, availability, statistics and interventions.

Keywords

Data Analysis Learning Analytics Learning Management System Open Online Courses [email protected]

Article Details

How to Cite
Marchisio, M., Rabellino, S., Roman, F., Sacchet, M., & Salusso, D. (2019). Boosting up Data Collection and Analysis to Learning Analytics in Open Online Contexts: an Assessment Methodology. Journal of E-Learning and Knowledge Society, 15(3), 49-59. https://doi.org/10.20368/1971-8829/1135048

References

  1. Barana, A., Bogino, A., Fioravera, M., Floris, F., Marchisio, M., Operti, L., Rabellino, S. (2017). Self-paced approach in synergistic model for supporting and testing students: The transition from Secondary School to University, Proceedings of 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 404-409.
  2. Bruschi, B., Cantino, V., Cavallo Perin, R., Culasso, F., Giors, B., Marchisio, M., Marello, C., Milani, M., Operti, L., Parola, A., Rabellino, S., Sacchet, M., Scomparin, L. (2018). [email protected]: a Supporting Model for High School Students Enrolling to University, Proceedings of the 15th International conference on Cognition and Exploratory Learning in Digital Age (CELDA 2018), Budapest, 307-312.
  3. Campbell, J.P., Oblinger, D.G. (2007). Academic Analytics. EDUCAUSE Quarterly. October 2007.
  4. Campbell, P., De Blois P., Oblinger D. (2007). Academic Analytics; a new tool for a new era. In EDUCAUSE Review 42 (4), 40-57.
  5. Clow, D. (2012). The learning analytics cycle: closing the loop effectively. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge - LAK ’12, p. 134.
  6. Gasevic, D., Siemens, G. (2015). Let’s not forget: Learning analytics are about learning. TechTrends. 59. 10.1007/s11528-014-0822
  7. Khalil, M., Ebner, M. (2016). What is Learning Analytics about? A Survey of Different Methods Used in 2013-2015. Proceedings of the Smart Learning Conference, Dubai.
  8. Learning Analytics for tracking students’ progress (2016). Hanover Research, November.
  9. Marchisio, M., Rabellino, S., Sacchet, M., Salusso, D. (2019a). OERs for secondary education: a chance for teachers to broaden their horizons. EDULEARN19 Proceedings, 6480-6487.
  10. Marchisio, M., Sacchet, M., Salusso, D. (2019b). Instructional design to train the trainers: the [email protected] project at the University of Turin. Proceedings of the IADIS International Conference e-Learning 2019, 195-202.
  11. NMC Horizon Report, (2016). Higher Education Edition. Austin, Texas: The New Media Consortium.
  12. Papamitsiou, Z., Economides, A. (2014). Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence. Educational Technology & Society. 17. 49-64.