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Distance Education Network & Information Sciences Institute USC Viterbi School of Engineering. Presented by Erin Shaw Research Computer Scientist Center for Research in Technology for Education USC Information Sciences Institute. Research @ DEN.
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Distance Education Network& Information Sciences InstituteUSC Viterbi School of Engineering Presented by Erin Shaw Research Computer Scientist Center for Research in Technology for Education USC Information Sciences Institute
Research @ DEN • DEN collaborates with USC research centers • Develop new technologies • Provide greater visibility for DEN • Integrated Multimedia Sciences Center • Multimedia applications • Information Sciences Institute • Collaborative technologies • Interactive simulations • Pedagogical agents
Discussion board initiative Theme and Goals • Create a platform for bridging research and practice • Increase opportunities for • Learner participation and collaboration • Instructor experimentation and assessment • Support the evaluation of advanced technologies • Text mining • Mobile learning • Pedagogical agents • Natural language understanding
DEN & ISI integrated system DEN Blackboard System Student Collaboration Tools ISI Discussion Board Agent Interventions Real-Time Analysis DEN File System Instructor Assessment Tools ISI Document Database Completed In Development Planned
Mobile discussion via instant messaging New message notification sent User queries BBS for details
AT&T Samsung x427 Cingular Nokia 3595 Working Assets Sprint LG 1200 T*Mobile Sidekick Mobile communication AOL Instant Messenger communication Worked on all phone types tested
Automated question-answering Goal • Automatically answer • Repeatedly asked questions • Questions whose answers are available in course documents Traditional • Factiod questions • Who is the president of the United States? • Questions contain only one sentence • Answers can be given with short phrase Our challenge • Questions may contain multiple sentences • Questions may not be obvious • I’ve been having trouble….. Can anyone help? • Answers need explanation
Automated question-answering Response Displayed Questions Posted Course Documents Feature Extraction Similarity Computation Summarization & Answer Extraction
Total text available • Course documents • Include notes, assignments, web pages, readings • Segmented into sections (tiles) • Discussion threads • Individual messages manually annotated
Probabilities constrain search space Today Display best match Next step Evaluate Relevant, useful?
Thank you for your attention. Enjoy the rest of your visit! Please feel free to contact me: ErinShaw, shaw@isi.edu