Workshop Proceedings
Workshop Proceedings
Update (12/27/2021): The official proceedings are available from CEUR here: http://ceur-ws.org/Vol-3051/
June 29th, 2021 (Tuesday), 10:00-16:00 UTC-4 (US-East)
Venue: Virtual Conference
10:20 - 11:05 Full Presentation of Research Papers Session (10 minutes presentation + 4 minutes Q&A) (video)
How productive are homework and elective practice? Applying a post hoc modeling of student knowledge in a large, introductory computing course. Max Fowler, Binglin Chen, Matthew West and Craig Zilles (Paper)
Investigating Elements of Student Persistence in an Introductory Computer Science Course. Juan Pinto, Yingbin Zhang, Luc Paquette and Aysa Fan (Paper)
Next Steps for Next-step Hints: Lessons Learned from Tutor Evaluations of Automatic Programming Hints. Benjamin Paaßen, Jessica Mcbroom, Bryn Jeffries, Irena Koprinska and Kalina Yacef (Paper)
11:05- 11:20 Coffee Break and Discussion
11:20 - 11:50 Full Presentation of Research Papers Session (10 minutes presentation + 4 minutes Q&A) (video)
Clustering Students’ Short Text Reflections: A Software Engineering Course Case Study. Mohsen Dorodchi, Alexandria Benedict, Erfan Al-Hossami, Andrew Quinn, Sandra Wiktor, Aileen Benedict and Mohammadali Fallahian (Paper)
Execution Trace Based Feature Engineering To Enable Formative Feedback on Visual, Interactive Programs. Wengran Wang, Gordon Fraser, Tiffany Barnes, Chris Martens and Thomas Price (Paper)
11:50- 12:00 Coffee Break and Discussion
12:00- 12:30 Short Presentation (Virtual Poster Session)
Dataset on an online collaborative learning situation in a computer networks course. Cristina Villa-Torrano, Pankaj Chejara, Juan I. Asensio-Pérez, Yannis Dimitriadis, Miguel L. Bote-Lorenzo, Alejandra Martínez-Monés and Eduardo Gómez-Sánchez (Paper)
Clickstream Data from a Formal Languages eTextbook. Mostafa Mohammed and Clifford Shaffer
JupyterLab Extensions for Blocks Programming, Self-Explanations, and HTML Injection. Andrew Olney and Scott Fleming (Paper)
Containerizing an eTextbook Infrastructure. Alexander Hicks and Clifford Shaffer (Paper)
12:30- 1:30 Lunch Break and Discussion
1:30- 2:15 Full Presentation of Work-In Progress Papers (8 minutes presentation + 2 minutes Q&A) (video)
Data Mining CSAwesome. Hisamitsu Maeda, Barbara Ericson and Paramveer Dhillon
Gaining Insight into Effective Teaching of AI Problem-Solving Through CSEDM: A Case Study. Spencer Yoder, Cansu Tatar, Ifeoluwa Aderemi, Sankalp Boorugu, Shiyan Jiang and Bita Akram (Paper)
Identifying Struggling Students in Novice Programming Course with Knowledge Tracing. Poorvaja Penmetsa, Yang Shi and Thomas Price (Paper)
Prompting for Free Self-Explanations Promotes Better Code Comprehension. Vasile Rus, Kamil Akhuseyinoglu, Jeevan Chapagain and Lasang Tamang
2:15 - 2:30 Coffee Break and Discussion
2:30 - 3:30 Launch of 2nd CSEDM Data Challenge (video, please scroll to 57:17)
3:30 - 4:00 Final Discussion