Derived Datasets for "Aligning credit-hour expectations with reality: Cluster analysis of study organization in e-textbook logs"

Published: 18 September 2025| Version 1 | DOI: 10.17632/hm3n4yn3ty.1
Contributor:
Hirofumi Kamata

Description

De-identified derived datasets (student-level aggregates, per-lecture features, session-level durations) plus a synthetic event-log sample supporting the manuscript “Aligning credit-hour expectations with reality: Cluster analysis of study organization in e-textbook logs.” Raw clickstream logs are not shared due to re-identification risk. Key variables: total_sec (sec), uniq_pages (count), max_sess (sec), offset (min), spread (days), cluster (1–4). Time zone: Asia/Tokyo; timestamps: ISO 8601.

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Educational Technology, Higher Education, Analysis of Education

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