Single-case ENA made one learner's long-term activity patterns open to contextual inspection
2nd International Conference on Quantitative Ethnography (ICQE 2020)
What ENA contributes when learning analytics centers on one person's activity across a lifelong-learning case. The case illustrates how network views can surface internally meaningful contrasts and guide a return to episodes that would be obscured by population aggregation. One case cannot estimate population prevalence or general treatment effects, and apparent within-person change remains sensitive to coding, time boundaries, and the selected comparison periods.
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