Frederick Nwanganga
ABSTRACT
The collection and analysis of student-level data is quickly becoming the norm across school campuses. More and more institutions are starting to use this resource as a window into better understanding the needs of their student population. In previous work, we described the use of electronic portfolio data as a proxy to measuring student engagement, and showed how it can be predictive of student retention. This paper highlights our ongoing efforts to explore and measure the valence of positive and negative emotions in student reflections and how they can serve as an early warning indicator of student disengagement.
- E. Aguiar, N. V. Chawla, J. Brockman, G. A. Ambrose, and V. Goodrich. Engagement vs performance: using electronic portfolios to predict first semester engineering student retention. In Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, pages 103--112. ACM, 2014. Google Scholar
Digital Library
- V. Goodrich, E. Aguiar, G. A. Ambrose, L. McWilliams, J. Brockman, and N. V. Chawla. Integration of eportfolios into rst-year experience engineering course for measuring student engagement. In Proceedings of the American Society for Engineering Education Conference,, 2014.Google Scholar
- Y. Huang, T. Goh, and C. L. Liew. Hunting suicide notes in web 2.0 - preliminary findings. pages 517--521, Los Alamitos, 2007. IEEE. Google ScholarDigital Library
- J. Pennebaker, M. Mehl, and K. Niederhoffer. Psychological aspects of natural language use: Our words, our selves. Annual Review of Psychology, 54: 547--577, 2003.Google ScholarCross Ref
- J. W. Pennebaker, C. K. Chung, M. Ireland, A. Gonzales, and R. J. Booth. The Development and Psychometric Properties of LIWC2007. Austin, Texas, 2007.Google Scholar
- M. Thelwall, K. Buckley, G. Paltoglou, D. Cai, and A. Kappas. Sentiment strength detection in short informal text. Journal of the American Society for Information Science and Technology, 61(12): 2544--2558, 2010. Google ScholarDigital Library
Index Terms
- Qualitatively exploring electronic portfolios: a text mining approach to measuring student emotion as an early warning indicator
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