Supporting literature

Papers

P. J. Beck, M.J. Mohammadi-Aragh, C. Archibald, “An Initial Exploration of Machine Learning Techniques to Classify Source Code Comments in Real-time,” Presented at American Society for Engineering Education Annual Conference and Exposition, USA, Tampa, FL, June 16-19, 2019. [Online] Available: https://www.asee.org/file_server/papers/attachment/file/0010/6958/ASEE_2019_An_Initial_Exploration_of_ML_Techniques_to_classify_source_code_comments.pdf

M.J. Mohammadi-Aragh, P.J. Beck, A.K. Barton, “A Case Study of Writing to Learn to Program : Codebook Implementation and Analysis,” Presented at American Society for Engineering Education Annual Conference and Exposition, USA, Tampa, FL, June 16-19, 2019. [Online] Available: https://peer.asee.org/31943.pdf

P. J. Beck, M. Jean Mohammadi-Aragh, C. Archibald, B. A. Jones and A. Barton, “Real-time Metacognition Feedback for Introductory Programming Using Machine Learning,” 2018 IEEE Frontiers in Education Conference (FIE), San Jose, CA, USA, 2018, pp. 1-5, DOI: https://doi.org/10.1109/FIE.2018.8658973.

M.J. Mohammadi-Aragh, P.J. Beck, A.K. Barton, D. Reese, B.A. Jones, M. Jankun-Kelly, “Coding the coders: A qualitative investigation of students’ commenting patterns,” Presented at American Society for Engineering Education Annual Conference and Exposition, USA, Salt Lake City, Utah, June 24-27, 2018. [Online] Available: https://peer.asee.org/coding-the-coders-a-qualitative-investigation-of-students-commenting-patterns.pdf

M. Jean Mohammadi-Aragh, Phyllis J. Beck, Amy Barton, Donna Reese, Bryan A. Jones, Monika Jankun-Kelly. 2018. Coding the Coders: Creating a Qualitative Codebook for Students’ Commenting Patterns. In Proceedings of the 2018 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE ’18). ACM, Baltimore, MD, USA.

Posters

Mahnas Jean Mohammadi-Aragh, Phyllis J. Beck, Amy Barton, Donna Reese, Bryan A. Jones, and Monika Jankun-Kelly. 2018. Coding the Coders: Creating a Qualitative Codebook for Students? Commenting Patterns (Abstract Only). In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE ‘18). Association for Computing Machinery, New York, NY, USA, 1078. DOI: https://doi.org/10.1145/3159450.3162304