Learning analytics mines data from LMS logs, assessments, and interactions to reveal patterns of engagement and difficulty. The goal is to support better instructional decisions and targeted interventions.
Option A:
This option correctly states that big data about learners is used to refine teaching and provide more personalised, timely support.
Option B:
Focusing solely on attendance ignores richer behavioural data (clicks, quiz results, forum activity) central to learning analytics.
Option C:
Replacing teachers with robots is neither the purpose nor a realistic consequence of learning analytics.
Option D:
Leaking exam questions is unethical and unrelated to analytics, which aims at quality and fairness, not cheating.
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