Intense, turbulent, or wallowing in the mire: A longitudinal study of cross-course online tactics, strategies, and trajectories

• Published in: The Internet and higher education Vol. 57; p. 100902
• Main Authors: Saqr, Mohammed, López-Pernas, Sonsoles, Jovanović, Jelena, Gašević, Dragan
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.04.2023
• Subjects: Learning analytics; Learning strategies; Longitudinal studies; Sequence analysis; Learning analytics; Longitudinal studies; Sequence analysis; Learning strategies
• ISSN: 1096-7516; 1873-5525
• DOI: 10.1016/j.iheduc.2022.100902

Research has repeatedly demonstrated that students with effective learning strategies are more likely to have better academic achievement. Existing research has mostly focused on a single course or two, while longitudinal studies remain scarce. The present study examines the longitudinal sequence of students' strategies, their succession, consistency, temporal unfolding, and whether students tend to retain or adapt strategies between courses. We use a large dataset of online traces from 135 students who completed 10 successive courses (i.e., 1350 course enrollments) in a higher education program. The methods used in this study have shown the feasibility of using trace data recorded by learning management systems to unobtrusively trace and model the longitudinal learning strategies across a program. We identified three program-level strategy trajectories: a stable and intense trajectory related to deep learning where students used diverse strategies and scored the highest grades; a fluctuating interactive trajectory, where students focused on course requirements, scored average grades, and were relatively fluctuating; and a light trajectory related to surface learning where students invested the least effort, scored the lowest grades, and had a relatively stable pathway. Students who were intensely active were more likely to transfer the intense strategies and therefore, they were expected to require less support or guidance. Students focusing on course requirements were not as effective self-regulators as they seemed and possibly required early guidance and support from teachers. Students with consistent light strategies or low effort needed proactive guidance and support. •We present methods for the longitudinal analysis of course strategies.•We identified 3 program-level trajectories: intense, light and interactive intense.•An intense trajectory was about deep learning strategies, stability and high grades.•A light interactive trajectory was fluctuating, less regulated and average grades.•The light trajectory was related to surface learning and lowest scores.