Understanding idea flow: applying learning analytics in discourse

References

• Bain, K., & Zimmerman, J. (2009). Understanding great teaching. Peer Review, 11(2), 9–12. ​
   Google Scholar
• Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3(Jan), 993–1022.
   Google Scholar
• Bowden, J., Marton, F., & Zull, J. (2014). The deep learning process and the construction of knowledge. In J., Hermida (Ed.), Facilitating deep learning: Pathways to success for university and college teachers (pp. 15–48). New Jersey: Apple Academic Press. ​
   Google Scholar
• Chen, B., Scardamalia, M., & Resendes, M. (2013). Dynamics of promisingness judgements in knowledge building work of 8- to 10-years-olds. Poster presented at the 2013 AERA Annual Meeting, San Francisco, CA.
   Google Scholar
• Chiu, M. M., & Fujita, N. (2014). Statistical discourse analysis of online discussions: Informal cognition, social metacognition, and knowledge creation. In S. C. Tan, H. J. So, & J. Yeo (Eds.), Knowledge creation in education (pp. 97–112). Singapore: Springer Singapore. ​
   Google Scholar
• Fairclough, N. (2013). Critical discourse analysis: The critical study of language. New York: Routledge. ​
   Google Scholar
• Ferguson, R. (2009). The Construction of Shared Knowledge through Asynchronous Dialogue [ Doctoral dissertation]. In Open Research Online (ORO), The Open University. Retrieved from http://oro.open.ac.uk/19908/.
   Google Scholar
• Hofmann, T. (2001). Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42(1–2), 177–196. doi:10.1023/A:1007617005950
   Web of Science ®Google Scholar
• Idea [Def. 1a]. (2016). In Merriam-Webster Online. Retrieved November 2, 2016, from http://www.merriam-webster.com/dictionary/idea
   Google Scholar
• Locke, J. (1836). An essay concerning human understanding. London: Balne, Printer, Gracechurch Street. ​
   Google Scholar
• Mercer, N. (2004). Sociocultural discourse analysis: Analysing classroom talk as a social mode of thinking. Journal of Applied Linguistics, 1(2), 137–168. doi:10.1558/japl.2004.1.issue-2
   Google Scholar
• Nord, C. (2005). Text analysis in translation: Theory, methodology, and didactic application of a model for translation-oriented text analysis. New York: Rodopi. ​
   Google Scholar
• Oshima, J., Oshima, R., & Matsuzawa, Y. (2012). Knowledge building discourse explorer: A social network analysis application for knowledge building discourse. Educational Technology Research and Development, 60(5), 903–921. doi:10.1007/s11423-012-9265-2
   Web of Science ®Google Scholar
• Paavola, S., & Hakkarainen, K. (2005). The knowledge creation metaphor - An emergent epistemological approach to learning. Science & Education, 14, 535–557. doi:10.1007/s11191-004-5157-0
   Google Scholar
• Reategui, E., Epstein, D., Lorenzatti, A., & Klemann, M. (2011). Sobek: A text mining tool for educational applications. In R. Stahlbock (Ed.), International conference on data mining (pp. 59–64). CSREA Press. Retrieved from http://cobweb.cs.uga.edu/~hra/2011-proceedings/dmin/papers.pdf ​
   Google Scholar
• Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. Liberal Education in a Knowledge Society, 97, 67–98.
   Google Scholar
• Scardamalia, M. (2004). CSILE/knowledge forum. Education and technology: An encyclopedia (pp. 183–192). Santa Barbara: ABC-CLIO.
   Google Scholar
• Scardamalia, M., & Bereiter, C. (2003). Knowledge building. In J. W. Guthrie (Ed.), Encyclopedia of education (pp. 1370–1373). New York: Macmillan Reference Books. ​
   Google Scholar
• Scardamalia, M., & Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 97–115). New York: Cambridge University Press.
   Google Scholar
• Sfard, A. (1998). On two metaphors for learning and the dangers of choosing just one. Educational Researcher, 27(2), 4–13. doi:10.3102/0013189X027002004
   Google Scholar
• Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer-supported collaborative learning: An historical perspective. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 409–426). New York: Cambridge University Press. ​
   Google Scholar
• Sun, W., Zhang, J., Jin, H., & Lyu, S. (2014). Analyzing online knowledge-building discourse using probabilistic topic models. International Conference of the Learning Sciences, 2, 823–830.
   Google Scholar