Learning analytics involves collecting and examining data such as login frequency, quiz scores and navigation patterns within learning environments. Educators use these insights to identify students at risk, refine course design and personalise feedback. The field combines educational theory with data science techniques. Therefore, the activity described in the stem is learning analytics.
Option A:
Option A is correct because learning analytics is defined in educational research as the measurement, collection, analysis and reporting of data about learners and their contexts, which aligns with the description.
Option B:
Option B, digital folklore, refers loosely to cultural expressions in digital media and is not a recognised method for studying learner data systematically.
Option C:
Option C, remote sensing, is a geospatial technique for collecting information about the Earth from satellites or aircraft and has no direct connection with analysing educational platform data.
Option D:
Option D, screen casting, means recording on screen activity to produce instructional videos and does not inherently include systematic data analysis of learner behaviour.
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