Automatic content analysis of asynchronous discussion forum transcripts: A systematic literature review
Author:
Funder
Universitas Indonesia
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Education
Link
https://link.springer.com/content/pdf/10.1007/s10639-022-11065-w.pdf
Reference111 articles.
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2. Aldowah, H., Al-Samarraie, H., & Fauzy, W. M. (2019). Educational data mining and learning analytics for 21st century higher education: A review and synthesis. Telematics and Informatics, 37, 13–49. https://doi.org/10.1016/j.tele.2019.01.007
3. Almatrafi, O., Johri, A., & Rangwala, H. (2018). Needle in a haystack: Identifying learner posts that require urgent response in MOOC discussion forums. Computers & Education, 118, 1–9. https://doi.org/10.1016/j.compedu.2017.11.002
4. Altınay, Z. (2017). Evaluating peer learning and assessment in online collaborative learning environments. Behaviour & Information Technology, 36(3), 312–320. https://doi.org/10.1080/0144929X.2016.1232752
5. An, Y.-H., Pan, L., Kan, M.-Y., Dong, Q., & Fu, Y. (2019). Resource mention extraction for mooc discussion forums. IEEE Access, 7, 87887–87900. https://doi.org/10.1109/ACCESS.2019.2924250
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