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Centering resonance analysis: a potential tool for IT program assessment

Published:07 October 2010Publication History

ABSTRACT

Knowledge is organized according to the meaning of words that define the relationships established among the ideas that the words represent. Knowledge structures that humans have in their minds can be represented spatially as concept maps. Another means of representing mental schemas is with written text, such as a project report. Assuming that explicit textual artifacts are a reasonable representation of an individual's mental schema, then network text analyses can be used to summarize and represent the text. Centering resonance analysis is an approach for text analysis that uses the premises of centering theory, where a center is defined as a noun or noun phrase that links utterances to produce coherence in discourse. Through centering resonance analysis, word networks of nouns that represent main concepts can be constructed and influence and resonance statistics can be calculated. Capabilities of centering resonance analysis are presented as it is applied to examples from information systems education. Its applicability as a tool for program assessment is considered.

References

  1. }}Canary, H., & Jennings, M. (2008). Principles and influence in Codes of Ethics: A centering resonance analysis comparing pre- and post-Sarbanes-Oxley codes of ethics. Journal of Business Ethics, 80, 263--278.Google ScholarGoogle ScholarCross RefCross Ref
  2. }}Carley, K. (1997). Extracting team mental models through textual analysis. Journal of Organizational Behavior, 533--558.Google ScholarGoogle ScholarCross RefCross Ref
  3. }}Corman, S., Kuhn, T., McPhee, R., & Dooley, K. (2002). Studying complex discursive systems: Centering resonance analysis of communication. Human Communication Research, 28, 157--206.Google ScholarGoogle ScholarCross RefCross Ref
  4. }}Crawdad Technologies, L. (2005). Crawdad Text Analysis System version 1.2. Chandler, AZ.Google ScholarGoogle Scholar
  5. }}Grosz, B., Joshi, A. & Weinstein, S. (1995). Centering: A framework for modeling the local coherence of a discourse. Computational Linguistics, 21, 203--225. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. }}Isbell, M., & Davis, J. (2007). "Organizations are made to tick through talk: A network comparison of conversation centers, influential words and network centrality" Annual Meeting of the NCA 93rd Annual Convention. Chicago, IL.Google ScholarGoogle Scholar
  7. }}Jonassen, D. (2000). Computers as Mindtools for Schools: Engaging Critical Thinking. New Jersey: Prentice Hall.Google ScholarGoogle Scholar
  8. }}McLaren, T., Vuong, D., & Grant, K. (2007). Do you know what you don't know? Critical reflection and concept mapping in an information systems strategy course. Communications of the Association for Information Systems, 20, 892--908.Google ScholarGoogle ScholarCross RefCross Ref
  9. }}McPhee, R., Corman, S., & Dooley, K. (2002). Organizational knowledge expression and management: Centering resonance analysis of organizational discourse. Management Communication Quarterly, 16, 274--281.Google ScholarGoogle ScholarCross RefCross Ref
  10. }}Willis, C. & Miertschin, S. (2006) Mind maps as active learning tools. The Journal of Computing Sciences in Colleges. 21 (4). 266--272. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        SIGITE '10: Proceedings of the 2010 ACM conference on Information technology education
        October 2010
        180 pages
        ISBN:9781450303439
        DOI:10.1145/1867651

        Copyright © 2010 ACM

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        New York, NY, United States

        Publication History

        • Published: 7 October 2010

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