Peter Hastings' Publications

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Classified by Publication Type

• Journal • Refereed Conference • Workshop • Unrefereed Collection • Tech Report • Other •

Journal

• E. Arnott, P. Hastings, and D. Allbritton. Research Methods Tutor: Evaluation of a dialogue-based tutoring system in the classroom. Behavior Research Methods, 40(3):694–672, Psychonomics Society Publications, 2008.
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• R. Poulsen, P. Wiemer-Hastings, and D. Allbritton. Tutoring Bilingual Students with an Automated Reading Tutor that Listens. Journal of Educational Computing Research, 36(2), 2007.
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• B. Ng and P. Wiemer-Hastings. Addiction to the internet and online gaming. CyberPsychology and Behavior, 8(2):110–113, 2005.
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• A. Britt, P. Wiemer-Hastings, A. Larson, and C. Perfetti. Using intelligent feedback to improve sourcing and integration in students' essays. International Journal of Artificial Intelligence in Education, 14:359–374, IAIED Society, Leeds, England, 2004.
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• J. Robertson, B. Cross, H. MacLeod, and P. Wiemer-Hastings. Children's interactions with animated agents in an intelligent tutoring system. International Journal of Artificial Intelligence in Education, 14:335–357, 2004.
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• K. Wiemer-Hastings, A. Janit, P. Wiemer-Hastings, S. Cromer, and J. Kinser. Automatic classification of dysfunctional thoughts: a feasibility test. Behavior Research Methods Instruments and Computers, 36:203–212, 2004.
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• A. Graesser, K. Wiemer-Hastings, R. Kreuz, P. Wiemer-Hastings, and K. Marques. QUAID: A questionnaire evaluation aid for survey methodologists. Behavior Research Methods, Instruments, and Computers, 32:254–262, 2000.
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• A. Graesser, P. Wiemer-Hastings, K. Wiemer-Hastings, D. Harter, N. Person, and the Tutoring Research Group. Using Latent Semantic Analysis to Evaluate the Contributions of Students in AutoTutor. Interactive Learning Environments, 8(2):129–147, Swets and Zeitlinger, Lisse, The Netherlands, 2000.
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• P. Wiemer-Hastings and A. Graesser. Select-a-Kibitzer: A computer tool that gives meaningful feedback on student compositions. Interactive Learning Environments, 8(2):149–169, Swets and Zeitlinger, Lisse, The Netherlands, 2000.
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• A. Graesser, K. Wiemer-Hastings, P. Wiemer-Hastings, R. Kreuz, and the TRG. AutoTutor: A simulation of a human tutor. Journal of Cognitive Systems Research, 1:35–51, 1999.
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• P. Hastings and S. Lytinen. Acquiring new words from context. Heuristics: The Journal of Knowledge Engineering, 1994.
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Refereed Conference

• E. Arnott, P. Hastings, and D. Allbritton. RMT in the Classroom. In Proceedings of the Midwest Artificial Intelligence and Cognitive Science conference, 2007.
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• P. Wiemer-Hastings, D. Allbritton, and E. Arnott. RMT: A Dialog-Based Research Methods Tutor with or without a Head. In Proceedings of the ITS2004 Seventh International Conference, Springer, Berlin, 2004. Available at http://reed.cs.depaul.edu/peterwh/papers/its2004.pdf
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• K. Malatesta, J. Robertson, and P. Wiemer-Hastings. Beyond the Short Answer Question with Research Methods Tutor. In Proceedings of the 6th Annual Conference on Intelligent Tutoring Systems, Springer, 2002.
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• J. Robertson and P. Wiemer-Hastings. Feedback on children's stories via multiple interface agents. In Proceedings of the 6th Annual Conference on Intelligent Tutoring Systems, pp. 923–932, Springer, 2002.
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• Freddy Y. Y. Choi, Peter Wiemer-Hastings, and Johanna Moore. Latent Semantic Analysis for Text Segmentation. In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing, pp. 109–117, 2001.
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• P. Wiemer-Hastings and I. Zipitria. Rules for Syntax, Vectors for Semantics. In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, Erlbaum, Mahwah, NJ, 2001.
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• A. Graesser, K. Wiemer-Hastings, P. Wiemer-Hastings, and R. Kreuz. The gold standard of question quality on surveys: Experts, computer tools, versus statistical indices. In Proceedings of the Section on Survey Research Methods of the American Statistical Association, pp. 459–464, American Statistical Association, 2000.
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• P. Wiemer-Hastings. Adding syntactic information to LSA. In Proceedings of the 22nd Annual Conference of the Cognitive Science Society, pp. 989–993, Erlbaum, Mahwah, NJ, 2000.
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• K. Wiemer-Hastings, P. Wiemer-Hastings, S. Rajan, A. Graesser, R. Kreuz, and A. Karnavat. DP: A detector for presuppositions in survey questions. In Proceedings of the Joint Language Technology Conference, pp. 90–96, ACL Press, 2000.
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• P. Wiemer-Hastings, K. Wiemer-Hastings, and A. Graesser. How Latent is Latent Semantic Analysis?. In Proceedings of the 16th International Joint Congress on Artificial Intelligence, pp. 932–937, Morgan Kaufmann, San Francisco, 1999.
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• P. Wiemer-Hastings, K. Wiemer-Hastings, and A. Graesser. Improving an intelligent tutor's comprehension of students with Latent Semantic Analysis. In Artificial Intelligence in Education, pp. 535–542, IOS Press, Amsterdam, 1999.
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• P. Wiemer-Hastings, K. Wiemer-Hastings, and A. Graesser. Approximate natural language understanding for an intelligent tutor. In Proceedings of the 12th International Florida Artificial Intelligence Research Conference, pp. 172–176, AAAI Press, Menlo Park, CA, 1999.
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• A. C. Graesser, S. P. Franklin, P. Wiemer-Hastings, and the Tutoring Research Group. Simulating smooth tutorial dialogue with pedagogical value. In Proceedings of the 11th International Florida Artificial Intelligence Research Symposium Conference, pp. 163–167, AAAI Press, 1998.
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• P. Wiemer-Hastings, A. Graesser, and K. Wiemer-Hastings. Inferring the meaning of verbs from context. In Proceedings of the 20th Annual Conference of the Cognitive Science Society, pp. 1142–1147, Erlbaum, Mahwah, NJ, 1998.
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• P. Wiemer-Hastings, A. Graesser, D. Harter, and the Tutoring Research Group. The foundations and architecture of AutoTutor. In Intelligent Tutoring Systems, Proceedings of the 4th International Conference, pp. 334–343, Springer, Berlin, 1998.
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• P. Hastings and S. Lytinen. The Ups and Downs of lexical acquisition. In AAAI-94, pp. 754–759, MIT Press, Cambridge, MA, 1994.
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• P. Hastings and S. Lytinen. Objects, actions, nouns, and verbs. In Proceedings of the 16th Annual Conference of the Cognitive Science Society, pp. 397–402, Lawrence Erlbaum Associates, Hillsdale, NJ, 1994.
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• P. Hastings, S. Lytinen, and R. Lindsay. Learning words: Computers and Kids. In Proceedings of the 13th Annual Conference of the Cognitive Science Society, pp. 251–256, Lawrence Erlbaum Associates, Hillsdale, NJ, 1991.
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Workshop

• P. Wiemer-Hastings, E. Arnott, and D. Allbritton. Initial results and mixed directions for Research Methods Tutor. In AIED2005 - Supplementary Proceedings of the 12th International Conference on Artificial Intelligence in Education, Amsterdam, 2005.
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• A. Vasalou, B. Ng, P. Wiemer-Hastings, and L. Oshlyansky. Human-moderated remote user testing: Protocols and applications. In Proceedings of the 8th ERCIM Workshop, User Interfaces for All, 2004.
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• P. Wiemer-Hastings. The design and architecture of Research Methods Tutor, a second generation dialog-based tutor. In Proceedings of the ITS2004 Workshop on Dialog-based Intelligent Tutoring Systems, Maciao, Brazil, 2004.
  Available at http://reed.cs.depaul.edu/peterwh/papers/its2004ws.pdf
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• P. Wiemer-Hastings, D. Allbritton, J. Efron, and Arnott,E.. Research Methods Tutoring in the Classroom. In AIED2003 - Supplementary Proceedings of the 11th International Conference on Artificial Intelligence in Education, pp. 388 – 392, University of Sydney, Sydney, 2003. Available at http://reed.cs.depaul.edu/peterwh/papers/2003aiedwsrmt.pdf
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• P. Wiemer-Hastings and K. Glasswell. StoryStation: Agent-based scaffolding of metacognitive processes for writing. In AIED2003 - Supplementary Proceedings of the 11th International Conference on Artificial Intelligence in Education, pp. 534 – 541, University of Sydney, Sydney, 2003. Available at http://reed.cs.depaul.edu/peterwh/papers/2003aiedwsss.pdf
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• J. Marineau, P. Wiemer-Hastings, D. Harter, B. Olde, P. Chipman, A. Karnavat, V. Pomeroy, A. Graesser, and the TRG. Classification of speech acts in tutorial dialog. In Proceedings of the workshop on modeling human teaching tactics and strategies at the Intelligent Tutoring Systems 2000 conference, pp. 65–71, 2000.
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• P. Hastings. Implications of an automatic lexical acquisition mechanism. In S. Wermter, E. Riloff, and C. Scheler, editors, Connectionist, Statistical, and SymbolicApproaches to Learning for Natural Language Processing, Springer-Verlag, Berlin, 1996.
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• P. Hastings. Use of context in an automatic lexical acquisition mechanism. In Proceedings of the Workshop on Context in Natural Language of the 14th International Joint Conferenceon Artificial Intelligence, 1995.
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• S. Lytinen, R. Burridge, P. Hastings, and C. Huyck. Description of the LINK system used for MUC-5. In Proceedings of the Fifth Message Understanding Conference, Morgan Kaufmann Publishers, San Mateo, CA, 1993.
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• S. Lytinen, S. Bhattacharyya, R. Burridge, P. Hastings, C. Huyck, K. Lipinsky, E. McDaniel, and K. Terrell. Description of the LINK system used for MUC-4. In Proceedings of the Fourth Message Understanding Conference, pp. 289–295, Morgan Kaufmann Publishers, San Mateo, CA, 1992.
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• S. Lytinen, S. Bhattacharyya, R. Burridge, P. Hastings, C. Huyck, K. Lipinsky, E. McDaniel, and K. Terrell. The LINK system: MUC-4 test results and analysis. In Proceedings of the Fourth Message Understanding Conference, pp. 159–163, Morgan Kaufmann Publishers, San Mateo, CA, 1992.
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• P. Hastings and S. Lytinen. Automatic Acquisition of Word Meanings. In Proceedings of the AAAI Spring Symposium on Machine Learning of Natural Language and Ontology, Document D-91-09, DFKI, University of Kaiserslautern, FRG, 1991.
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• P. Hastings, S. Lytinen, and R. Lindsay. Learning words from context. In Machine Learning: Proceedings of the Eighth International Workshop, pp. 55–59, Morgan Kaufmann, San Mateo, CA, 1991.
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• P. Hastings, S. Lytinen, and R. Lindsay. Psycholinguistic Implications of a Computational Language-Learning Model. In Proceedings of the Workshop on Natural Language Learning of the 12th International Joint Conference on Artificial Intelligence, 1991.
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Unrefereed Collection

• X. Hu, Z. Cai, P. Wiemer-Hastings, A. Graesser, and D. McNamara. Strengths, Limitations, and Extensions of LSA. In D. McNamara, T. Landauer, S. Dennis, and W. Kintsch, editors, LSA: A Road to Meaning, Erlbaum, Mahwah, NJ, 2007.
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• P. Wiemer-Hastings. Latent Semantic Analysis. In Encyclopedia of Language and Linguistics, Elsevier, Oxford, UK, 2004. 2nd edition.
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• P. Wiemer-Hastings. All parts are not created equal: SIAM-LSA. In Proceedings of the 26th Annual Conference of the Cognitive Science Society, Erlbaum, Mahwah, NJ, 2004.
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• J. Moore and P. Wiemer-Hastings. Discourse in Computational Linguistics and Artificial Intelligence. In A. Graesser, M. Gernsbacher, and S. Goldman, editors, Handbook of Discourse Processes, pp. 439–486, Erlbaum, Mahwah, NJ, 2003.
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• A. Graesser, P. Wiemer-Hastings, and K. Wiemer-Hastings. Constructing inferences and relations during text comprehension. In T. Sanders, J. Schilperoord, and W. Spooren, editors, Text representation: Linguistic and psycholinguistic aspects, pp. 249–271, Benjamins, Amsterdam, 2001.
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• A. Graesser, T. Kennedy, P. Wiemer-Hastings, and V. Ottati. The use of computational cognitive models to improve questions on surveys and questionnaires. In M. Sirken, D. Herrmann, S. Schechter, N. Schwarz, J. Tanur, and R. Tourangeau, editors, Cognition and Survey Research, pp. 199–216, John Wiley and Sons, New York, 1999.
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Tech Report

• R. Poulsen and P. Wiemer-Hastings. Effects of agent-based feedback on stories for struggling and advanced writers. Technical Report 04-012, DePaul University, 2004.
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• P. Hastings. The Soar Coloring Book. Unpublished 1996. Available at http://ai.eecs.umich.edu/soar/tutorial
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Other

• D. Allbritton, P. Wiemer-Hastings, E. Arnott, and J. Efron. Strategies for research methods tutoring using latent semantic analysis. In Proceedings of the 33rd Annual Meeting of the Society for Computers in Psychology, 2003.
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• P. Hastings. Automatic Acquisition of Word Meaning from Context. Ph.D. Thesis, University of Michigan, Ann Arbor, MI , 1994.
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