How does learning analytics differ from traditional evaluation?

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Multiple Choice

How does learning analytics differ from traditional evaluation?

Explanation:
Learning analytics uses data patterns from how students interact with learning activities to improve outcomes and personalize learning paths, going beyond a single assessment to guide ongoing support and pacing. It pulls in multiple data points—time-on-task, resource usage, quiz attempts and scores, discussion participation, and other engagement signals—to identify trends, predict who might need help, and tailor recommendations or interventions in real time. This contrasts with traditional evaluation, which is typically summative and episodic, focusing on a final grade or a narrow set of assessments at the end of a course and providing a snapshot rather than a continuous picture. It also relies on and interprets behavior data to inform decisions, rather than ignoring it, and it supplements rather than replaces teacher input and professional judgment.

Learning analytics uses data patterns from how students interact with learning activities to improve outcomes and personalize learning paths, going beyond a single assessment to guide ongoing support and pacing. It pulls in multiple data points—time-on-task, resource usage, quiz attempts and scores, discussion participation, and other engagement signals—to identify trends, predict who might need help, and tailor recommendations or interventions in real time. This contrasts with traditional evaluation, which is typically summative and episodic, focusing on a final grade or a narrow set of assessments at the end of a course and providing a snapshot rather than a continuous picture. It also relies on and interprets behavior data to inform decisions, rather than ignoring it, and it supplements rather than replaces teacher input and professional judgment.

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