Abstract
AbstractFreshmen in Higher Education are required to exhibit a strong inclination to taking ownership of their own learning. It entails well-developed self-regulated learning competences. This demand is further exacerbated in purely online settings such as open distant learning, MOOCs, or disruptive circumstances like the COVID pandemic. Time management skills are an essential component in this process and the target of this study, wherein 348 students covered a course through two conditions: the control group attended the semester in an unchanged way, while students in the experimental group were weekly invited to estimate and log their workload and time allocations, via “reflection amplifiers” provided on their mobile devices. While no major difference in time management and learning performance was observable, data reveals that perceived time allocation and prescribed study-time differ substantially. These results raise questions, on the students’ side, about the potential of qualitative (self-inputted) learning analytics to raise awareness on where time investments go. On the teachers’ side, the results highlight the need to better plan the curricula workload specifically for first-year students.
Funder
Comunidad de Madrid
Erasmus+
Universidad Politécnica de Madrid
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Human-Computer Interaction,Information Systems,Software
Cited by
11 articles.
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