Coordinated Symposium: NCME 2018 Panel on Writing Analytics

  • Jill Burstein Educational Testing Service

References

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Beigman Klebanov, B., Burstein, J., Harackiewicz, J., Prinski, S. & Mullholland, M. (2016). Enhancing STEM motivation through personal and communal values: NLP for assessment of utility value in student writing. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), NAACL 2016, San Diego, CA, USA.

Beigman Klebanov, B., Burstein, J., Harackiewicz, J., Prinski, S. & Mullholland, M. (2017). Reflective writing as a tool for increasing STEM motivation and retention—Can AI help scale it up? Special Issue for the International Journal of Artificial Intelligence in Education: MARWIDE: Multidisciplinary Approaches to Reading and Writing Integrated with Disciplinary Education (Eds. D. McNamara, S. Muresan, R. J. Passonneau, & D. Perin), 27(4), 791–818.

Burstein, J., & McCaffrey, D. (2018, April). What writing analytics can tell us about broader success outcomes. National Council for Measurement in Education, Coordinated Session A4. New York, NY.

Burstein, J., McCaffrey, D., Beigman Klebanov, B., & Ling, G. (2017). Exploring relationships between writing and broader outcomes with automated writing evaluation. In Proceeding of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA), EMNLP 2017, Copenhagen, Denmark.

Durik, A. M., & Harackiewicz, J. M. (2007). Different strokes for different folks: How personal interest moderates the effects of situational factors on task interest. Journal of Educational Psychology, 99, 597–610.

Hidi, S., & Harackiewicz, J. M. (2000). Motivating the academically unmotivated: A critical issue for the 21st century. Review of Educational Research, 70, 151–179.

Pennebaker, J. W., Booth, R. J., Boyd, R. L., & Francis, M. E. (2015). Linguistic Inquiry and Word Count: LIWC 2015. Austin, TX: Pennebaker Conglomerates.

Ross, V., & LeGrande, R. (2017). Assessing writing constructs: Toward an expanded view of inter-reader reliability. Journal of Writing Analytics, 1, 227–275. Retrieved from https://journals.colostate.edu/analytics/article/view/141

Published
2018-12-09