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Characterizing university students’ self-regulated learning behavior using dispositional learning analytics

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Characterizing university students’ self-regulated learning behavior using dispositional learning analytics

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Ainscough, L.; Leung, R.; Colthorpe, K.; Langfield, T. (2019). Characterizing university students’ self-regulated learning behavior using dispositional learning analytics. En HEAD'19. 5th International Conference on Higher Education Advances. Editorial Universitat Politècnica de València. 233-241. https://doi.org/10.4995/HEAD19.2019.9153

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/123802

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Title: Characterizing university students’ self-regulated learning behavior using dispositional learning analytics
Author:
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Abstract:
[EN] Learning analytics can be used in conjunction with learner dispositions to identify at-risk students and provide personalized guidance on how to improve. Participants in the current study were students (n=192) studying ...[+]
Subjects: Higher Education , Learning , Educational systems , Teaching , Self-regulated learning , Learning analytics , Academic achievement , Cluster analysis
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
ISBN: 9788490486610
Source:
HEAD'19. 5th International Conference on Higher Education Advances.
DOI: 10.4995/HEAD19.2019.9153
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/HEAD/HEAD19/paper/view/9153
Conference name: Fifth International Conference on Higher Education Advances
Conference place: València, Spain
Conference date: Junio 26-28, 2019
Type: Capítulo de libro Comunicación en congreso

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