The authors produced the first fully CoI-coded German dataset of 1,521 meaningful units from 1,147 posts, available on request¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? The manual content analysis yielded a dataset of 1,521 meaningful units identified within 1,147 posts, providing the first fully CoI-coded German dataset. → Dornauer 2024

Evidence¶

Dornauer 2024¶

Dornauer, V., Netzer, M., Kaczkó, É., Norz, L.-M., & Ammenwerth, E. (2024). Automatic Classification of Online Discussions and Other Learning Traces to Detect Cognitive Presence. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-023-00335-4

q2 · i? · design · r2

Manual quantitative content analysis of posts from a postgraduate Health Information Management course at UMIT TIROL; each meaningful unit was coded to exploration, integration, resolution, or non-cognitive presence, with the triggering phase excluded. The abstract states "the first fully CoI-coded German dataset" for future research.

"After this manual quantitative content analysis, our dataset comprised 1,521 meaningful units (identified within 1,147 posts)."

Discussion¶

Related Claims¶

• A structured negotiated-coding process reached nearly 98% interrater agreement before machine learning — related
• In the coded dataset, exploration was the most frequent phase (727 units, 48%), followed by integration (444, 29%), resolution (235, 15%), and non-cognitive presence (115, 8%) — related