Use moment-by-moment learning curve forms to trigger personalized support and interventions for students' self-regulated learning with ALTs.¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article proposes that moment-by-moment learning curves "could potentially be used in interventions to support SRL with personalized visualizations". Because different curve forms signal different regulation situations, visualizations of a student's own curve could help learners connect recent effort with recent progress and adjust effort to uphold accuracy. The authors also suggest ALT-level responses, such as providing more challenges to learners showing immediate drop curves to enhance learning efficiency.

Design Implications¶

Context¶

Requirements¶

• An ALT that logs per-problem performance from which moment-by-moment learning curves can be derived automatically.

Constraints¶

• The article presents this as a potential use; the study itself did not test an intervention.
• Students in the study had no means to select different subskills to work on, which the authors note limits efficiency.

Target Learners¶

• Primary education students learning arithmetic with adaptive learning technologies

Target Learning Goals¶

• Supporting students' regulation of effort and accuracy during learning with ALTs

Affordances¶

• Mbmlc Personalized Visualization Srl Theory

Related Strategies¶

Examples¶

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Key Sources¶

• Inge Molenaar, Anne Horvers, Ryan S. Baker. (2021). What can moment-by-moment learning curves tell about students' self-regulated learning? Learning and Instruction, 72, 101206. https://doi.org/10.1016/j.learninstruc.2019.05.003