Predicting instructor's intervention in MOOC forums

52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference

Volumn 1, Issue , 2014, Pages 1501-1511

  Chaturvedi, Snigdha ^a   Goldwasser, Dan ^a   Daumé III, Hal ^a  

^a Institute of Advanced Computer Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; CURRICULA;

COURSE INFORMATION; DISCUSSION FORUM; LEARNING PROBLEM; MASSIVE OPEN ONLINE COURSE; PREDICTION MODEL; PREDICTION PROBLEM; PREDICTIVE PERFORMANCE;

FORECASTING;

EID: 84906924486     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1141     Document Type: Conference Paper

References (39)

1. Ashton Anderson, Daniel P. Huttenlocher, Jon M. Kleinberg, and Jure Leskovec. 2014. Engaging with massive online courses. In WWW, pages 687-698.
2. Yoav Artzi, Patrick Pantel, and Michael Gamon. 2012. Predicting responses to microblog posts. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT '12, pages 602-606, Stroudsburg, PA, USA. Association for Computational Linguistics.
3. Erik Aumayr, Jeffrey Chan, and Conor Hayes. 2011. Reconstruction of threaded conversations in online discussion forums. In Lada A. Adamic, Ricardo A. Baeza-Yates, and Scott Counts, editors, ICWSM. The AAAI Press.
4. Lars Backstrom, Jon Kleinberg, Lillian Lee, and Cristian Danescu-Niculescu-Mizil. 2013. Characterizing and curating conversation threads: Expansion, focus, volume, re-entry. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM '13, pages 13-22, New York, NY, USA. ACM.
5. Eytan Bakshy, Jake M. Hofman,Winter A. Mason, and Duncan J. Watts. 2011. Everyone's an influencer: Quantifying influence on twitter. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM '11, pages 65-74, New York, NY, USA. ACM.
6. Prakhar Biyani, Cornelia Caragea, and Prasenjit Mitra. 2013. Predicting subjectivity orientation of online forum threads. In CICLing (2), pages 109-120.
7. Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, and Dinesh Raghu. 2013. Semisupervised answer extraction from discussion forums. In Proceedings of the Sixth International Joint Conference on Natural Language Processing, pages 1-9, Nagoya, Japan, October. Asian Federation of Natural Language Processing.
8. Ming-Wei Chang, Dan Goldwasser, Dan Roth, and Vivek Srikumar. 2010. Discriminative learning over constrained latent representations. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT '10, pages 429-437, Stroudsburg, PA, USA. Association for Computational Linguistics.
9. Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh M. Nallapati, and Hema Raghavan. 2014. Joint question clustering and relevance prediction for open domain non-factoid question answering. In Proceedings of the 23rd International Conference on World Wide Web, WWW '14, pages 503-514, Republic and Canton of Geneva, Switzerland. International World Wide Web Conferences Steering Committee.
10. Michael Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing - Volume 10, EMNLP '02, pages 1-8, Stroudsburg, PA, USA. Association for Computational Linguistics.
11. Munmun De Choudhury, Hari Sundaram, Ajita John, and Dorée Duncan Seligmann. 2009. What makes conversations interesting? themes, participants and consequences of conversations in online social media. In 18th International World Wide Web Conference (WWW), pages 331-331, April.
12. Mark Edmundson. 2012. The trouble with online education, July 19. http://www.nytimes.com/2012/07/20/opinion/the-troublewith- online-education. html.
13. Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester, and Deva Ramanan. 2010. Object detection with discriminatively trained part-based models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(9):1627-1645.
14. Blaz Fortuna, Eduarda Mendes Rodrigues, and Natasa Milic-Frayling. 2007. Improving the classification of newsgroup messages through social network analysis. In Proceedings of the Sixteenth ACM Conference on Conference on Information and Knowledge Management, CIKM '07, pages 877-880, New York, NY, USA. ACM.
15. Dan Goldwasser and Hal Daumé III. 2014. "I object!" modeling latent pragmatic effects in courtroom dialogues. European Chapter of the Association for Computational Linguistics (EACL), April. To appear.
16. Benjamin Golub and Matthew O. Jackson. 2010. Seeing only the successes: The power of selection bias in explaining the structure of observed internet diffusions.
17. Vicenç Gómez, Andreas Kaltenbrunner, and Vicente López. 2008. Statistical analysis of the social network and discussion threads in slashdot. In Proceedings of the 17th International Conference on World Wide Web, WWW '08, pages 645-654, New York, NY, USA. ACM.
18. Jizhou Huang, Ming Zhou, and Dan Yang. 2007. Extracting chatbox knowledge from online discussion forums. In Proceedings of the 20th International Joint Conference on Artifical Intelligence, IJCAI'07, pages 423-428, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
19. Jonathan Huang, Chris Piech, Andy Nguyen, and Leonidas J. Guibas. 2013. Syntactic and functional variability of a million code submissions in a machine learning mooc. In AIED Workshops.
20. Minwoo Jeong, Chin-Yew Lin, and Gary Geunbae Lee. 2009. Semi-supervised speech act recognition in emails and forums. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3, EMNLP '09, pages 1250-1259, Stroudsburg, PA, USA. Association for Computational Linguistics.
21. René F. Kizilcec, Chris Piech, and Emily Schneider. 2013. Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. In LAK, pages 170-179.
22. Jon M. Kleinberg. 2013. Computational perspectives on social phenomena at global scales. In Francesca Rossi, editor, IJCAI. IJCAI/AAAI.
23. Ravi Kumar, Mohammad Mahdian, and Mary McGlohon. 2010. Dynamics of conversations. In Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '10, pages 553-562, New York, NY, USA. ACM.
24. Haewoon Kwak, Changhyun Lee, Hosung Park, and Sue Moon. 2010. What is twitter, a social network or a news media? In Proceedings of the 19th International Conference on World Wide Web, WWW '10, pages 591-600, New York, NY, USA. ACM.
25. K. Lerman and R. Ghosh. 2010. Information contagion: An empirical study of the spread of news on digg and twitter social networks. In Proceedings of 4th International Conference on Weblogs and Social Media (ICWSM).
26. David Liben-Nowell and Jon Kleinberg. 2008. Tracing the flow of information on a global scale using Internet chain-letter data. Proceedings of the National Academy of Sciences, 105(12):4633-4638, 25 March.
27. Andy Nguyen, Christopher Piech, Jonathan Huang, and Leonidas J. Guibas. 2014. Codewebs: scalable homework search for massive open online programming courses. In WWW, pages 491-502.
28. Chris Piech, Mehran Sahami, Daphne Koller, Steve Cooper, and Paulo Blikstein. 2012. Modeling how students learn to program. In SIGCSE, pages 153-160.
29. Chris Piech, Jonathan Huang, Zhenghao Chen, Chuong Do, Andrew Ng, and Daphne Koller. 2013. Tuned models of peer assessment in MOOCs. In Proceedings of The 6th International Conference on Educational Data Mining (EDM 2013).
30. Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, and Lise Getoor. 2013. Modeling learner engagement in moocs using probabilistic soft logic. In NIPSWorkshop on Data Driven Education.
31. Daniel M. Romero, Brendan Meeder, and Jon Kleinberg. 2011. Differences in the mechanics of information diffusion across topics: Idioms, political hashtags, and complex contagion on twitter. In Proceedings of the 20th International Conference on World Wide Web, WWW '11, pages 695-704, New York, NY, USA. ACM.
32. Glenda S. Stump, Jennifer DeBoer, Jonathan Whittinghill, and Lori Breslow. 2013. Development of a framework to classify mooc discussion forum posts: Methodology and challenges.
33. Manos Tsagkias, Wouter Weerkamp, and Maarten de Rijke. 2009. Predicting the volume of comments on online news stories. In Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM '09, pages 1765-1768, New York, NY, USA. ACM.
34. Yi-Chia Wang, Mahesh Joshi, and Carolyn Penstein Ros. 2007. A feature based approach to leveraging context for classifying newsgroup style discussion segments. In John A. Carroll, Antal van den Bosch, and Annie Zaenen, editors, ACL. The Association for Computational Linguistics.
35. Hongning Wang, Chi Wang, ChengXiang Zhai, and Jiawei Han. 2011. Learning online discussion structures by conditional random fields. In Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '11, pages 435-444, New York, NY, USA. ACM.
36. Chunyan Wang, Mao Ye, and Bernardo A. Huberman. 2012. From user comments to on-line conversations. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, pages 244-252, New York, NY, USA. ACM.
37. Li Wang, Su Nam Kim, and Timothy Baldwin. 2013. The utility of discourse structure in forum thread retrieval. In AIRS, pages 284-295.
38. Tae Yano and Noah A. Smith. 2010. What's worthy of comment? content and comment volume in political blogs. In William W. Cohen and Samuel Gosling, editors, ICWSM. The AAAI Press.
39. Chun-Nam John Yu and Thorsten Joachims. 2009. Learning structural svms with latent variables. In Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pages 1169-1176, New York, NY, USA. ACM.