{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/using-discourse-signals-for-robust-instructor","title":"Using Discourse Signals for Robust Instructor Intervention Prediction","arxiv_id":"1612.00944","date":"2016-12-03","proceeding":null,"authors":["Muthu Kumar Chandrasekaran","Carrie Demmans Epp","Min-Yen Kan","Diane Litman"],"abstract":"We tackle the prediction of instructor intervention in student posts from\ndiscussion forums in Massive Open Online Courses (MOOCs). Our key finding is\nthat using automatically obtained discourse relations improves the prediction\nof when instructors intervene in student discussions, when compared with a\nstate-of-the-art, feature-rich baseline. Our supervised classifier makes use of\nan automatic discourse parser which outputs Penn Discourse Treebank (PDTB) tags\nthat represent in-post discourse features. We show PDTB relation-based features\nincrease the robustness of the classifier and complement baseline features in\nrecalling more diverse instructor intervention patterns. In comprehensive\nexperiments over 14 MOOC offerings from several disciplines, the PDTB discourse\nfeatures improve performance on average. The resultant models are less\ndependent on domain-specific vocabulary, allowing them to better generalize to\nnew courses.","url_abs":"http://arxiv.org/abs/1612.00944v1","url_pdf":"http://arxiv.org/pdf/1612.00944v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"using-discourse-signals-for-robust-instructor","repo_url":"https://github.com/WING-NUS/lib4moocdata","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"prediction","task_name":"Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}