Improving STEM Education via NLP, Visualization, and Mobile Interfaces

Dataset

CourseMIRROR used text summarization techniques to summarize the students’ responses. The detail of the summarization algorithm is reported by Luo & Litman (2015). The summarization algorithm used by CourseMIRROR is evaluated on an engineering course corpus consisting of handwritten student reflections generated in response to instructor prompts at the end of each lecture, along with associated summaries manually generated by the course TA (Menekse et al., 2011). 

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References

Menekse, M., Stump, G., Krause Stephen J., & Chi, M. T. H. (2011). The effectiveness of students’ daily reflections on learning in engineering context. In Proceedings of the American Society for Engineering Education (ASEE) Annual Conference. Vancouver, Canada.

Luo, W., & Litman, D. (2015). Summarizing Student Responses to Reflection Prompts. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP). Lisboa, Portugal: Association for Computational Linguistics.

Luo, W., Liu, F., Liu Z., & Litman, D. (2016). Automatic Summarization of Student Course Feedback. Proceedings of the 15th Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL-HLT 2016). San Diego, CA, 2016, June.