Statements A, B and C are consistent with accepted definitions and ethical guidelines for learning analytics, whereas D conflicts with transparency principles. Analytics aims to enhance learning but must be conducted in ways that respect privacy and inform students. Anonymisation or pseudonymisation helps reduce risks when analysing large datasets. Keeping learners completely uninformed about data practices would violate trust and ethical standards.
Option A:
Option A is incomplete because it includes only A and B and omits C. While purpose and transparency are important, mentioning privacy-preserving techniques such as anonymisation is also essential to ethical practice.
Option B:
Option B is incomplete because it lists only B and C and leaves out A. Without stating the improvement-oriented goal of analytics, there is no clear rationale for collecting and processing learner data.
Option C:
Option C is incomplete because it groups A and C only and ignores B. Statement B about transparency is central to respecting autonomy and informed consent, so its omission weakens the ethical perspective.
Option D:
Option D is correct because it gathers the three true statements and excludes D, which advocates secrecy rather than openness. It reflects a balanced view that combines potential benefits of analytics with privacy and communication responsibilities.
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