Identifying content-related threads in MOOC discussion forums

L@S 2015 - 2nd ACM Conference on Learning at Scale

Volumn , Issue , 2015, Pages 299-303

  Cui, Yi ^a   Wise, Alyssa Friend ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Machine learning; Massive open online courses; Natural language processing; Social interaction

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

CLASSIFICATION MODELS; DISCUSSION FORUM; HIGH RELIABILITY; LINGUISTIC FEATURES; LINGUISTIC MODELING; MASSIVE OPEN ONLINE COURSE; NATURAL LANGUAGE PROCESSING; SOCIAL INTERACTIONS;

LINGUISTICS;

EID: 84928036596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2724660.2728679     Document Type: Conference Paper

References (7)

1. Breslow, L., et al., Studying learning in the worldwide classroom: Research into edX's first MOOC. Research & Practice in Assessment, 8(1) (2013), 13-25.
2. Conole, G., MOOCs as disruptive technologies: Strategies for enhancing the learner experience and quality of MOOCs. RED. Revista de Educación a Distancia, Septiembre-Diciembre, 39 (2013), 1-17.
3. Deboer, J., et al., Changing "course": Reconceptualizing educational variables for Massive Open Online Courses. Educational Researcher, 43(2) (2014), 74-84.
4. Koller, D., et al., Retention and intention in Massive Open Online Courses. EduCause Review Online, (2013).
5. Lockyer, L.et al., Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, (2013), 1439-1459.
6. Peters, V.L. and Hewitt, J., An investigation of student practices in asynchronous computer conferencing courses. Computers & Education, 54(4) (2010), 951-961.
7. Wise, A.F., et al., A survey of factors contributing to learners' "listening" behaviors in asynchronous discussions. Journal of Educational Computing Rese, arch 47(4) (2012), 461-480.