A Collaborative Dialogue Agent for
Concerning the project:
This project has three goals:
elucidate our knowledge of peer learning, by examining what comprises effective understanding discussing and efficient explanations
devise a computational type of peer learning interactions, and embody it because they build a man-made peer dialogue agent
lead to Information Technology education by developing the peer dialogue agent within the domain of fundamental data structures and calculations, and pushing students to build up abstract, generalizable understanding about data structures and calculations.
The dialogue agent will give you an automobile for studying different methods to aid and assess peer learning. The introduction of the dialogue agent is going to be informed with a detailed language analysis of peer interactions the project will collect. The dialogue agent uses natural language processing technology, but to prevent the possibly confounding results of imperfect natural language understanding and generation, the experiments includes an individual interpreter who’ll review and proper as necessary the system’s interpretation from the student’s inputs and also the system’s replies to a student.
Beginning with while using dialogue agent, KSC-Friend, (KSC means Understanding Discussing and Construction) like a peer in information technology education, hopefully to improve retention in undergraduate information technology programs, especially among female students. Peer collaboration on programming tasks in classes and laboratory configurations continues to be proven to profit students of both genders.
This project is really a collaboration between your College of Illinois at Chicago and also the College of Pittsburgh.
College of Illinois at Chicago:
Barbara DiEugenio. Connect Professor, PI
Cindy Kersey, Graduate Student
College of Pittsburgh:
Pamela Jordan. Research Connect, PI
Sandra Katz. Research Connect, co-PI
Christine Wilson, Programmer
John (Moses) Hall, Programmer
Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. KSC-Friend: A Peer Learning Agent. The tenth Worldwide Conference, ITS 2010. June 2010.
Cynthia Kersey (2009). Understanding Co-construction and Initiative in Peer Learning Interactions. PhD dissertation. College of Illinois at Chicago, Department laptop or computer Science.
Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. Understanding Co-construction and Initiative in Peer Learning Interactions. AIED 2009, The 14th Worldwide Conference on Artificial Intelligence in Education. Brighton, United kingdom. This summer 2009.
Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. KSC-Friend: A Peer Learning Agent that Encourages Students to accept Initiative. NAACL-HLT 2009 Training courses, The fourth Workshop on Innovative Utilization of NLP for Building Educational Programs. Boulder, Co. June 2009.
Modeling Understanding Co-Construction for Peer Learning Interactions (2008) by Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan, and Sandra Katz. ITS 2008, The ninth Worldwide Conference on Intelligent Teaching Systems, Student Research Workshop. Montreal, Canada.
Impact of Initiative on Collaborative Problem Fixing (2008) by Cynthia Kersey. ACL 2008, The 46th Annual Meeting from the Association for Computational Linguistics, Student Research Workshop. Columbus, OH.
Subject Initiative inside a Simulated Peer Dialogue Agent. (2007) by Pamela W. Jordan. Within the Proceedings of AIED 2007, pp. 581-583.
Collaboration in Peer Learning Dialogues. (2007) by Cynthia Kersey, Barbara Di Eugenio, Pamela Jordan and Sandra Katz. Presented at DECALOG – The 2007 Workshop around the Semantics and Pragmatics of Dialogue.
Project Related Guides:
Minimal Feedback Throughout Tutorial Dialogue (2008). by P. Jordan and D. Litman (2008). The Intelligent Teaching Systems ninth Worldwide Conference, ITS 2008. pp. 671-673.
Reinforcement Learning-based Feature Choice For Developing Pedagogically Effective Tutorial Dialogue Tactics (2008). by M. Chi, P. Jordan, K. VanLehn, and M. Hall. EDM’08 first Worldwide Conference on Educational Data Mining. Pages 258-265. (best poster award).
Learning Linked Lists: Experiments using the iList System (2008). by D. Fossati, B. DiEugenio, C. Brown and S. Ohlsson. ITS 2008, the ninth Worldwide Conference on Intelligent Teaching Systems. vol. LNCS 50 p. 80.
Simple but effective feedback generation to tutor abstract problem fixing (2008) by X. Lu, B. DiEugenio, S. Ohlsson and D. Fossati. INLG 2008, fifth Worldwide Natural Language Generation Conference.
Past the code-and-count analysis of teaching dialogues (2007). by S. Ohlsson, B. DiEugenio, B. Chow, D. Fossati, X. Lu and T.C. Kershaw. The thirteenth Worldwide Conference on AI in Education .
Expert versus. Non-expert Teaching: Dialogue Moves, Interaction Designs and Multi-Utterance Turns (2007). by X. Lu, B. DiEugenio, T.C. Kershaw, S. Ohlsson along with a. Corrigan-Halpern. CICLing-2007, the Eight Worldwide Conference on Intelligent Text processing and Computational Linguistics .
Learning Tutorial Rules uisng Classification According to Associations (2007). by X. Lu, B. DiEugenio and S. Ohlsson. The thirteenth Worldwide Conference on AI in Education.
When are Tutorial Dialogues More Efficient than Reading through? (2007). by K. VanLehn, A. Graesser, G.T. Jackson, P. Jordan, A. Olney and C. Rose. Cognitive Science. vol. 31.
Tools for Authoring a Dialogue Agent that Takes part in mastering Studies (2007). by P. Jordan, B. Hall, M. Ringenberg, Y. Cui and C. Rose. The thirteenth Worldwide Conference on AI in Education .
Developing pedagogically effective tutorial dialogue tactics: Experiments along with a testbed. (2007) by VanLehn, Kurt, Pamela Jordan, Diane Litman. In proceedings of SLaTE Workshop on Speech and Language Technology in Education ISCA Tutorial and Research Workshop.
Quickly Developing Dialogue Systems that Support Learning Studies. by Pamela W. Jordan, Michael Ringenberg and John Hall. Within the Proceedings of ITS06 Workshop on Teaching with Robots, Agents, and NLP. 2006.
The Agreement Process: An Empirical Analysis of Human-human Computer-mediated Collaborative Dialogues. by Barbara Di Eugenio, Pamela W. Jordan, Richmond H. Thomason and Johanna D. Moore. Worldwide Journal of Human-Computer Studies. vol 53, no 6, pgs 1017-1076, December 2000.
An Empirical Analysis of Plans in Collaborative Dialogues by Barbara Di Eugenio, Pamela W. Jordan, Johanna D. Moore and Richmond H. Thomason. Project Note. Within the Proceedings from the 17th Worldwide Conference on Computational Linguistics and also the 36th Annual Meeting from the Association for Computational Linguistics (COLING-ACL’98). Montral, Canada, pp 325-329, 1998.
Control and Initiative in Collaborative Problem Fixing Dialogues. by Pamela W. Jordan and Barbara Di Eugenio. Within the Proceedings from the AAAI Spring Symposium on Computational Models for Mixed Initiative. Stanford, CA, March, 1997.
The Nation’s Science Foundation through award number 0536959 (Pitt) and 0536968 (UIC)