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3 references
This systematic review examines empirical studies of learning analytics dashboards through Winne and Hadwin's model of self-regulated learning. Dashboards make traces of learning activity visible through indicators, comparisons, visualizations, alerts, or recommendations, but the authors ask whether these features actually support learners' planning, monitoring, strategy use, and reflection.
They find that many dashboards are only weakly grounded in learning theory and frequently emphasize awareness of activity or performance rather than helping students translate information into effective action. Evaluations often measure usability, perceptions, or short-term behavior, while rigorous evidence for learning outcomes and durable self-regulatory change remains limited. The review maps dashboard features to phases of self-regulation and shows that feedback design, framing, learner characteristics, and educational context affect interpretation. It advises designers not to assume that a particular visualization is inherently useful.
Instead, dashboard decisions should follow explicit pedagogical aims, involve learners and teachers, provide actionable guidance, and be evaluated against theoretically meaningful processes and outcomes rather than data exposure alone.
How People Learn II updates the learning-science synthesis for a world in which people learn across formal education, work, families, communities, and digital environments. The report explains that learning is shaped by prior knowledge, culture, motivation, emotion, identity, social interaction, and the physical and institutional context.
Memory is constructive, expertise organises knowledge for flexible use, and transfer depends on recognising relevant structure rather than merely possessing information. Learners regulate attention, strategy, effort, and understanding, but these capacities develop through support and opportunity. The report also examines developmental change, informal learning, technology, and the effects of adversity and stereotype. It rejects a single universal teaching recipe: productive environments build on what learners bring, provide appropriately challenging practice and feedback, foster belonging and agency, and connect knowledge across settings.
For educators, assessment should reveal learners’ thinking and guide adaptation while avoiding deficit interpretations of cultural or linguistic difference.
Nicol and Macfarlane-Dick reinterpret formative assessment through a model of self-regulated learning. Students compare current performance with goals and generate internal feedback, even when teachers provide no comments.
Good external feedback should therefore strengthen learners’ capacity to judge and regulate their own work. The authors derive seven principles: clarify good performance; support self-assessment and reflection; provide high-quality information about learning; encourage dialogue; promote motivation and self-esteem; create opportunities to close the gap; and supply teachers with information for shaping instruction. Practical examples include exemplars, peer discussion, staged assignments, feedback requests, and resubmission. The model shifts feedback from one-way transmission after a task toward an interactive process embedded in learning.
It also warns that marks, praise, or extensive comments may not improve performance if learners cannot interpret or act on them. For educators, feedback design must connect criteria, learner judgement, dialogue, action, and subsequent opportunities to demonstrate improvement.
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