Majeed Kazemitabaar
Scholar

Majeed Kazemitabaar

Google Scholar ID: rwc3gycAAAAJ
Incoming Assistant Professor, Department of Computing Science, University of Alberta
HCIHuman-AI InteractionEnd-User ProgrammingLearning TechnologiesConstructionism
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,064
 
H-index
10
 
i10-index
10
 
Publications
16
 
Co-authors
11
list available
Contact
Emailmajeedkazemi@ualberta.caCVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
3 items
Invisible Saboteurs: Sycophantic LLMs Mislead Novices in Problem-Solving Tasks
2025
Cited
0
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
2025
Cited
0
Who's the Leader? Analyzing Novice Workflows in LLM-Assisted Debugging of Machine Learning Code
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Published paper: 'Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning' (IUI 2025)
  • - Published paper: 'Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition' (UIST 2024)
  • - Published paper: 'CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs' (CHI 2024)
  • - Published paper: 'How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment' (Koli Calling 2023)
  • - Published paper: 'Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming' (CHI 2023)
Research Experience
  • - Sep 2025: Co-founded LearnAid, an AI teaching assistant, and deployed it at the University of Toronto in three courses with 4,000 students
  • - Apr 2025: Co-organized CHI 2025 workshop on 'AI tools that augment human cognition'
  • - Jan 2025: $300,000 LEAF Grant approved for developing the next generation of CodeAid
Education
  • - PhD Candidate, Department of Computer Science, University of Toronto (Advisor information not provided)
Background
  • - Incoming Assistant Professor at the University of Alberta's Department of Computing Science
  • - Fellow at the Alberta Machine Intelligence Institute (Amii)
  • - Research in Human-Computer Interaction, focusing on interaction and cognition within programming with generative AI
  • - Research areas: (a) studying the implications of AI on over-reliance when learning to code; (b) designing novel interfaces and interventions that cognitively engage programmers with AI-generated solutions; (c) developing human-AI interactions that involve users in editing the AI's chain-of-thought reasoning; (d) deploying pedagogical AI assistants that promote independent problem-solving.
Miscellany
  • - Actively recruiting MSc and PhD students to join his lab for the Fall 2026 semester
Co-authors
11 total
Tovi Grossman
Tovi Grossman
University of Toronto
Co-author 2
Co-author 2
Austin Z. Henley
Austin Z. Henley
Carnegie Mellon University
Jon E. Froehlich
Jon E. Froehlich
Professor, Allen School of Computer Science, University of Washington
Barbara Ericson
Barbara Ericson
Associate Professor, School of Information, University of Michigan
Paul Denny
Paul Denny
Professor, University of Auckland
Advait Sarkar
Advait Sarkar
University of Cambridge
Bjoern Hartmann
Bjoern Hartmann
Associate Professor of EECS, University of California, Berkeley