View & Download Full Text
Chilean University Students’ Digital Learning Technology Usage Patterns and Approaches to Learning-
Carlos González, Dany López, Lina Calle-Arango,Helena Montenegro, Paula Clasing,2022 (sagepub.com)
Article Information
Article first published online: February 8, 2022; Issue published: March 1, 2022
Received: November 06, 2020; Revisions received: April 09, 2021; Accepted: September 24, 2021
Author
Carlos González,Dany López,Lina Calle-Arango,
Pontificia Universidad Católica de Chile – Millennium Nucleus
Helena Montenegro
Universidad de Chile – Millennium Nucleus
Paula Clasing
University of Michigan
Abstract
Purpose: This study aims to explore Chilean students’ digital technology usage patterns and approaches to learning.
Design/Approach/Methods: We conducted this study in two stages. We worked with one semester learning management systems (LMS), library, and students’ records data in the first one. We performed a k-means cluster analysis to identify groups with similar usage patterns. In the second stage, we invited students from emerging clusters to participate in group interviews. Thematic analysis was employed to analyze them.
Findings: Three groups were identified: 1) digital library users/high performers, who adopted deeper approaches to learning, obtained higher marks, and used learning resources to integrate materials and expand understanding; 2) LMS and physical library users/mid-performers, who adopted mainly strategic approaches, obtained marks close to average, and used learning resources for studying in an organized manner to get good marks; and 3) lower users of LMS and library/mid-low performers, who adopted mainly a surface approach, obtained mid-to-lower-than-average marks, and used learning resources for minimum content understanding.
Originality/Value: We demonstrated the importance of combining learning analytics data with qualitative methods to make sense of digital technology usage patterns: approaches to learning are associated with learning resources use. Practical recommendations are presented.
Keywords
Academic performance, approaches to learning, digital technology, learning analytics