A framework for topic generation and labeling from MOOC discussions

L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale

Volumn , Issue , 2016, Pages 201-204

  Atapattu, Thushari ^a   Falkner, Katrina ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Discussion forums; LDA; Learning analytics; MOOC; Na ve bayes; Topic modeling

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS;

DISCUSSION FORUM; LEARNING ANALYTICS; MASSIVE OPEN ONLINE COURSE; MOOC; OPEN FRAMEWORKS; TEACHING STAFF; TOPIC MODELING;

TEACHING;

EID: 84969916317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2876034.2893414     Document Type: Conference Paper

References (10)

1. Seimens, G. MOOCs are really a platform. EleanSpace, (2002).
2. Ezan-Can, A., et al. Unsupervised modeling for understanding MOOC discussion forums: a learning analytics approach. In Proc. LAK 2015.
3. Reich, J., et al. Computer Assisted Reading and Discovery for Student Generated Text in Massive Open Online Courses. Learning Analytics, (2015).
4. Joksimović, S., et al. What do cMOOC participants talk about in social media?: a topic analysis of discourse in a cMOOC. In Proc. LAK 2015.
5. Ramage, D., et al. Labeled LDA: a supervised topic model for credit attribution in multi-labeled corpora. In Proc. EMNLP 2009.
6. Lau, J. H., et al. Automatic labelling of topic models. In Proc. ACL 2011.
7. Magatti, D., et al. Automatic labeling of topics. In Proc. ISDA 2009.
8. Blei, D. M., et al. Latent Dirichlet Allocation. Machine Learning Research, 2003.
9. Matsuo, Y. and M. Ishizuka. Keyword extraction from a single document using word co-occurrence statistical information. Artificial Intelligence Tools, (2004).
10. Atapattu, T., et al. Acquisition of triples of knowledge from lecture notes: A natural language processing approach, In Proc. EDM, 2014.