An Architecture for the Automated Detection of Textual Indicators of Reflection
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Presented at the 1st European Workshop on Awareness and Reflection in Learning Networks. In conjunction with the EC-TEL 2011 conferece, Palermo, Italy. Proceedings online at: http://ceur-ws.org/Vol-790/
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An Architecture for the Automated Detection of Textual Indicators of Reflection
- 1. An Architecture for the Automated Detection of Textual Indicators of Reflection Thomas Daniel Ullmann, Fridolin Wild, Peter Scott KMi - The Open University 1 st Workshop on Awareness and Reflection in Learning Networks 21 st of September 2011
- 3. Finding deep reflections on the Web is like… Pearl hunting Finding a needle in the haystack
- 10. From unstructured to structured data
- 14. Thought-provoking questions King, A.: Inquiry as a tool in critical thinking. Changing college classrooms: New teaching and learning strategies for an increasingly complex world. 13–38 (1994).
- 15. Premise and Conclusion Halpern, D.F.: Thought and Knowledge. An Introduction to Critical Thinking. L. Erlbaum Associates (2003).
- 16. Example Annotations I Moon, J.A.: A handbook of reflective and experiential learning. Routledge (2004).
- 17. Example Annotations II Wikipedia: Awareness
- 20. Thomas Ullmann [email_address] http://twitter.com/ThomasUllmann
Editor's Notes
- Wong used the model of Boud et al. 1985: Attending to feelings, association, integration, validation, appropriation, outcome of reflection Sumsion an adapted model of Boud: highly reflective, moderately reflective, not reflective The high agreement of the second model of Wong (non-reflector, reflector and critical reflector) could be explained with the intense training of coders with the first model.
- Which one does not belong here?
- Together with a set of interrogative questions like: which, what, whose, who, whom, where, whence, how