Workshop Schedule and Proceedings
Workshop Schedule and Proceedings
Note: This schedule is a work in progress and subject to change.
Dynamic schedule: http://bit.ly/csedm2023
In-Person Workshop Schedule (March 13th, 2023, US Central Time)
**Note: LAK shuttle pick up at Aloft, Crowne Plaza, Hilton Arlington on ~7:30 AM and ~8:15 AM for workshops, and leave from UTA at 5:00 PM to return.**
LAK shuttle schedule: Schedule
9:00 - 9:45: (Bita Akram) Introduction (30 minutes)
9:45 - 11:00: (Bita Akram) CSEDM JEDM special issue article presentations
Review of CSEDM Data and Introduction of Two Public CS1 Keystroke Datasets. John Edwards, Kaden Hart, Raj Shrestha
Analysis of Student Pair Teamwork Using GitHub Activities. Niki Gitinabard, Zhikai Gao, Sarah Heckman, Tiffany Barnes, Collin F. Lynch
Using problem similarity- and order-based weighting to model learner performance in introductory computer science problems. Yingbin Zhang, Juan D. Pinto, Aysa Xuemo Fan, Luc Paquette
11:00 - 11:15: Break (15 minutes)
11:15 - 12:15: (Peter Brusilovsky, Thomas Price) SPLICE: CS Education Research Technology and Data Infrastructures (60 minutes)
12:15 - 1:30: Lunch break (90 minutes)
1:30 - 2:30: (Thomas Price) Keynote by Dr. Christopher Brooks (60 minutes) Canceled due to health reasons.
(Bita Akram) Now Networking Session.
2:30 - 3:45: (Yang Shi) CSEDM Paper presentations (60 minutes)
Mining High School students’ Cognitive Engagement from open responses on Machine Learning Practices. Jeanne McClure, Cansu Tatar, Franziska Bickel, Doreen Mushi, Rebecca Ellis, Kenia Wiedemann, Jie Chao, Shiyan Jiang, Carolyn Rose. [paper]
Too long to wait and not much to do: Modeling student behaviors while waiting for help in online office hours. Zhikai Gao, Collin Lynch, Sarah Heckman. [paper]
When is reading more effective than tutoring? An analysis through the lens of students' self-efficacy among novices in computer science. Priti Oli, Vasile Rus, Rabin Banjade, Arun Lekshmi Narayanan, Peter Brusilovsky. [paper]
3:45 - 4:00: Break (15 minutes)
4:00 - 4:30: (All) Wrap up + Future of CSEDM
Virtual Workshop Schedule (March 14th, 2023, US Central Time)
4:00 - 4:10 (Bita Akram) Introduction (10 minutes)
4:10 - 5:30 (Sharon Hsiao, Bita Akram) Paper presentations (80 minutes)
4:10 - 4:30 Logs and Surveys of Reviewing Behaviors in an Introductory Computer Science Course: Their Motivational Antecedents and Relation to Performance. Hye Rin Lee, Teomara Rutherford, Austin C. Bart [paper]
4:30 - 4:50 When is reading more effective than tutoring? An analysis through the lens of students' self-efficacy among novices in computer science. Priti Oli, Vasile Rus, Rabin Banjade, Arun Lekshmi Narayanan, Peter Brusilovsky [paper]
4:50 - 5:10 Understanding Why: Statistical Techniques to Infer Causality are Underused in Computing Education Research. Seth Poulsen, Binglin Chen, Craig Zilles, Matthew West [paper]
5:10 - 5:30 Mining High School students’ Cognitive Engagement from open responses on Machine Learning Practices. Jeanne McClure, Cansu Tatar, Franziska Bickel, Doreen Mushi, Rebecca Ellis, Kenia Wiedemann, Jie Chao, Shiyan Jiang, Carolyn Rose [paper]
5:30 - 5:45 Break and free discussion (15 minutes)
5:45 - 6:30 (Thomas Price, Peter Brusilovsky) Networking, connecting and collaboration building (60 minutes)
CSEDM Accepted Papers (Workshop Proceedings)
Logs and Surveys of Reviewing Behaviors in an Introductory Computer Science Course: Their Motivational Antecedents and Relation to Performance. Hye Rin Lee, Teomara Rutherford, Austin C. Bart. [paper]
Understanding Why: Statistical Techniques to Infer Causality are Underused in Computing Education Research. Seth Poulsen, Binglin Chen, Craig Zilles, Matthew West. [paper]
Mining High School students’ Cognitive Engagement from open responses on Machine Learning Practices. Jeanne McClure, Cansu Tatar, Franziska Bickel, Doreen Mushi, Rebecca Ellis, Kenia Wiedemann, Jie Chao, Shiyan Jiang, Carolyn Rose. [paper]
When is reading more effective than tutoring? An analysis through the lens of students' self-efficacy among novices in computer science. Priti Oli, Vasile Rus, Rabin Banjade, Arun Lekshmi Narayanan, Peter Brusilovsky. [paper]
Too long to wait and not much to do: Modeling student behaviors while waiting for help in online office hours. Zhikai Gao, Collin Lynch, Sarah Heckman. [paper]