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 Award
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
I am on the academic job market now, expecting to start in Fall 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!
Recent News
05/30/2023: One paper: "Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience" is accepted in ACM Conference on International Computing Education Research (ICER) 2023.
05/11/2023: I will serve as a mentor at the Simon Initiative LearnLab Summer School at Carnegie Mellon University on 7/24/24-7/28/23 in person. See you in Pittsburgh!
05/02/2023: I will present my research at the University of Massachusetts Amherst (remote presentation) on 5/19/2023.
04/24/2023: I will present my research at the University of Pittsburgh (remote presentation) on 5/3/2023.
04/14/2023: I was invited to serve as a Reviewer for The ACM Symposium on User Interface Software and Technology (UIST) 2023.
04/10/2023: One paper: "KC-Finder: Automated Knowledge Component Discovery for Programming Problems" is accepted in Educational Data Mining 2023 as a Full Paper.
04/03/2023: I will present my research at the University of Illinois Urbana-Champaign (remote presentation) on 4/3/2023.
03/26/2023: One paper: "Investigating the Impact of Emotions on the Quality of Novice Programmers’ Code" is accepted in NeuroIS Retreat 2023.
02/14/2023: I was invited to serve as a Reviewer for Journal of Educational Data Mining (JEDM).
01/23/2023: I was invited to serve as a Reviewer for International Journal of Artificial Intelligence in Education (IJAIED).
Motto
Success = Self-discipline + Confidence + Motivation
Contact
Past Emails: yang.atrue@uga.edu
Older News
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!
12/14/2022: 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!
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!