L'utilisation du tableau de bord des activités d'apprentissage "Ma réussite" en formation en ligne à l'Université Laval pour soutenir l'autorégulation de l'apprentissage et la réussite
|Abstract:||Despite its growing popularity, online training in university context have to deal with issues related to perseverance and success, since dropout and failure rates are higher in this type of training than on campus training. In an effort to support student retention and success, Université Laval has developed a learning analytics dashboard that aims to make students aware of their participation in their courses, and to guide them toward help resources. This research focuses on the use of this dashboard (called Ma réussite) to support self-regulation of learning and the success of undergraduate online learning students. More specifically, it aims to document how and by whom the learning analytics dashboard is used as well as students' perceptions towards it. This thesis also aims to verify whether the Unified Theory of Acceptance and Use of Technology (UTAUT) can explain the use of the learning analytics dashboard, and whether its use is related to student success. To do this, we conducted a survey with 309 students in 15 different online courses across four faculties. We also obtained digital traces of student use of Ma réussite during the fall 2019 semester. Our results indicate that Ma réussite has low usage, and that the number of visits to Ma réussite is significantly higher for students taking their first semester in university or their first online course, and for those who are in contact with the tool for the first time. Using the self-regulation learning model (Zimmerman, 1998), we explored students' perceptions of the usefulness of the dashboard in supporting self-regulation of learning. Our results indicate that students agree that Ma réussite supports self-regulation of learning, including monitoring and regulation of effort. New entrants and students who are in contact with the tool for the first time perceive the dashboard more as a support for self-regulation. We also documented students' perceptions of the variables that predict use according to UTAUT: performance expectancy, effort expectancy, social influence, facilitating conditions, and intention to use. Our results indicate that Ma réussite is useful, easy to use and that the conditions facilitating its use are in place. However, the social influence to use it is perceived to be low. New entrants and students who are in contact with the tool for the first time perceive Ma réussite as more useful and intend more to use it in the future than other students. We also conducted partial least squares structural equation modeling to validate UTAUT, tailored to the study. Our results confirm hypotheses that performance expectancy, effort expectancy, social influence, and current use influence intention to use. However, our results indicate that facilitating conditions are not a determinant of intention to use. Our research model explains 62% of the variance in intention to use and 72% of the variance of performance expectancy, with self-regulation support as the only predictor variable. Finally, our results did not confirm a relationship between learning analytics dashboard use and student final grade. This study has contributed to the advancement of knowledge, since very few studies have examined the use of the learning analytics dashboard by students in real educational contexts. It therefore provides insight into the frequency and timing of student dashboard use across several socio-demographic characteristics. This study also further explored the concept of dashboard utility by exploring students' perceptions of the support that Ma réussite provides for self-regulation of learning. These findings can thus provide information for managers of the tool to improve it, including adding features to better support self-regulation of learning and further informing stakeholders about how it works. Finally, this is the first study to validate UTAUT in the context of student use of a learning analytics dashboard.|
|Document Type:||Thèse de doctorat|
|Open Access Date:||20 December 2021|
|Collection:||Thèses et mémoires|
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