Yang Shi
Modeling student programming code for next-gen computer science education.
Education
Ph.D. Candidate in Computer Science, NC State University. Advised by Dr. Thomas Price.
Committee Members: Min Chi, Tiffany Barnes, Eric Wiebe, Ken Koedinger (CMU)
M.S. in Computer Science, University of Georgia, 2017.
Best Paper Awards
Awarded Research Grants and Fellowships
Mentored Teaching Fellowship, $1,000, NC State University, 2023
Goodnight Doctoral Fellowship, $40,000 yearly, NC State University, 2022
Graduate Merit Award, $2,950, NC State University, 2021
AWS Research Credit Award, $ 6,000, Amazon, 2021
GitHub, Google Scholar, Orcid, LinkedIn,
Schedule a meeting on my calendar (Coffee chat slots, 1 PM, US Easter Time, Every Friday)
I am on the academic job market for tenure track positions, expecting to graduate in Spring 2024. My research focuses on Educational Data Mining, AI in Education, and CS Education.
Feel free to email me (yshi26@ncsu.edu) if you have available openings!
Serving as a Program Committee of
CS/AI Education venues: SIGCSE 2023, ITICSE 2023, EAAI 2023
Please consider submitting a paper!
Recent News
01/23/2023: I was invited to serve as a Reviewer for the International Journal of Artificial Intelligence in Education (IJAIED).
12/26/2022: Our Code-DKT paper has been accepted for oral presentation at the AAAI 2023 AI4EDU workshop.
12/22/2022: I was awarded Mentored Teaching Fellowship ($1,000) from the College of Engineering, NC State University to gain more experience in graduate-level teaching. Thanks for the support from CoE and my teaching mentor, Dr. Price!
11/14/2022: One paper: "Trustworthy Code-Informed Learning Analytics for CS Education" is accepted in LAK 2023 Doctoral Consortium Track. I am also awarded financial support ($1,920 total funding) to attend the conference and present my work.
11/21/2022: Excited to announce that I was awarded Goodnight Doctoral Fellowship ($40,000 total funding/stipend yearly) from NC State University to extend my research in enhancing STEM education. Thanks for the support from the Goodnight Foundation, Dr. Price, my advisors, and all collaborators!
11/14/2022: One poster paper: "Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners" is accepted in SIGCSE 2023.
11/04/2022: I will be co-teaching the graduate-level data mining course (CSC522) in Spring 2023 for the Department of Computer Science, North Carolina State University.
11/01/2022: I will be co-organizing the 7th CSEDM Workshop (CSEDM 2023) co-located with LAK 2023 at Arlington, TX. See you in person next March!
Motto
Success = Self-discipline + Confidence + Motivation
Contact
Past Emails: yang.atrue@uga.edu
Older News
06/24/2022: I will be presenting my research in the Department of Computer Science in UNC Charlotte on 7/15/22.
06/20/2022: I will attend the Simon Initiative LearnLab Summer School @ Carnegie Mellon University in 7/18/22-7/22/22 in person. See you in Pittsburgh!
05/23/2022: I was invited to serve as a Reviewer for IEEE Internet of Things Journal (Top #1 Journal in H5-index of Computing Systems).
04/27/2022: I was invited to serve as a Reviewer for JEDM Special Issue on CSEDM.
04/17/2022: One paper: "Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks" is accepted in Educational Data Mining 2022 as a full paper.
04/10/2022: I was invited to serve as a Reviewer for Research and Practice in Technology Enhanced Learning (SCI Q1).
03/30/2022: I am selected as one of the 30 members of the Preparing the Professoriate program 2022-2023 cohort hosted by NCSU Grad School. Thanks for your support!
03/14/2022: I will be co-organizing the 6th CSEDM Workshop (CSEDM 2022) during the EDM 2022.
03/07/2022: I will be working as a Research Intern at Microsoft Research, PROSE team on AI for Programming Education from March to August, 2022.
02/12/2022: I was invited to serve as a Reviewer for IEEE Internet of Things Journal.
02/08/2022: I will serve as a Session Chair for The 53rd ACM Technical Symposium on Computing Science Education (SIGCSE 2022). See you in Providence, RI!
01/18/2022: I was invited to serve as a Reviewer for ACM Innovation and Technology in Computer Science Education (ITiCSE) 2022 Conference.
10/11/2021: I was invited to serve as a Reviewer for ACM CHI 2022 Conference on Human Factors in Computing Systems (CHI 2022).
09/27/2021: One paper: "Identifying Common Errors in Open-ended Machine Learning Projects" is accepted in The 53rd ACM Technical Symposium on Computing Science Education (SIGCSE 2022).
08/10/2021: I will be serving as a Co-Instructor for the Data Mining course for AI Academy at NCSU.
07/08/2021: I was invited to serve as a Reviewer for Handbook of Artificial Intelligence in Education.
07/02/2021: One paper: "Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming" has won the Best Full Paper Award (#1/100 Full papers) in the 14th International Conference on Educational Data Mining (EDM 2021). Thank you!
05/10/2021: I was awarded a Summer Graduate Merit Award by College of Engineering, NC State. Thank you!
04/15/2021: I will give a presentation about our LAK paper in Department of Computer Science, NC State.
04/09/2021: Three papers about student bug detection, performance prediction, and progress detection are accepted as full (2) / short (1) papers in the 14th International Conference on Educational Data Mining (EDM 2021).
02/25/2021: I will be serving as a Summer Instructor for Department of Computer Science, North Carolina State University.
02/12/2021: I will be co-organizing the 5th CSEDM Workshop during the EDM 2021.
01/14/2021: I was invited to serve as a Reviewer for IEEE Transactions on Network and Service Management.
01/13/2021: One paper: "Toward Semi-Automatic Misconception Discovery Using Code Embeddings" is accepted in The 11th International Conference on Learning Analytics & Knowledge (LAK 21).
11/10/2020: 4th CSEDM Workshop Proceedings now published available at CEUR-WS.
11/04/2020: I was invited to serve as a Reviewer for IEEE Transactions on Network and Service Management.
10/03/2020: One paper: "TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text" is accepted in The 6th Workshop on Noisy User-generated Text at EMNLP 2020.
08/21/2020: I was invited to serve as a Reviewer for IEEE Open Journal of the Computer Society.
08/10/2020: I served as a Reviewer for IEEE Sensors 2020 conference.
07/10/2020: I served as a co-organizer of 4th CSEDM Workshop. Thanks for joining us!
07/06/2020: One paper: "Comparing Feature Engineering Approaches to Predict Complex Programming Behaviors" is accepted in 4th CSEDM Workshop.
04/20/2020: I will be co-organizing the 4th CSEDM Workshop during the EDM 2020.
04/01/2020: I was invited to serve as a Reviewer for IEEE Network Magazine.
02/23/2020: I was invited to serve as a Reviewer for IEEE Transactions on Signal and Information Processing over Networks. (IEEE TSIPN)
02/06/2020: I will be serving as a Summer Instructor for Department of Computer Science, North Carolina State University.
01/31/2020: I was awarded $6,000 Research Credits from Amazon Web Services for the proposal of CS Educational Data Representation Research. Thank you Amazon!