Learning analytics and big data – UGC NET Question

Statement C is the only wrong statement because privacy and ethical issues are central concerns in learning analytics. Statements A, B and D correctly describe the purpose, examples and use of analytics in feedback and improvement. Collecting and interpreting student data must always be accompanied by safeguards, consent and ethical guidelines. Therefore, the option that identifies only C as wrong best matches the realities of big data and learning analytics in education.

Option A:
Option A is incorrect because it groups A and C together as wrong statements. Statement A is a standard definition of learning analytics, which aims to enhance teaching and learning by using learner data. Including this true statement among the wrong ones shows a misunderstanding of the concept.

Option B:
Option B is correct because it isolates C as the only incorrect statement and acknowledges that A, B and D are sound descriptions. It reflects the fact that learning analytics does raise privacy concerns and that these need careful management. By focusing solely on the wrong statement, it satisfies the requirement of the question.

Option C:
Option C is incorrect because it labels both B and C as wrong. B is actually correct since LMS clickstream data, scores and engagement metrics are typical components of educational big data. Mixing a true statement with a false one makes this combination invalid.

Option D:
Option D is incorrect because it treats A, B and C as wrong statements. Both A and B are accurate explanations of learning analytics and big data, and only C misrepresents the ethical dimension. This option incorrectly classifies true statements as wrong and therefore cannot be chosen.