Majd Sakr Teaching Professor Website ORCiD Office 7006 Gates and Hillman Centers Email msakr@cs.cmu.edu Phone (412) 268-1161 Department Computer Science Department Administrative Support Person Rachael Stephen CSD Courses Taught 15319 - Fall, 2025 15619 - Fall, 2025 15319 - Spring, 2025 15619 - Spring, 2025 15719 - Spring, 2025 15319 - Fall, 2024 15619 - Fall, 2024 15319 - Spring, 2024 15619 - Spring, 2024 15719 - Spring, 2024 Publications Journal Article A comparative study of AI-generated and human-crafted learning objectives in computing education 2025 • Journal of Computer Assisted Learning • 41(1): Doyle A, Sridhar P, Agarwal A, Savelka J, Sakr M Preprint AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce 2025 Savelka J, Kultur C, Agarwal A, Bogart C, Burte H, Zhang A, Sakr M Conference A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education 2024 193-199 Ramesh A, Agarwal A, Doughty JA, Ramaneti K, Savelka J, Sakr M Conference A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education 2024 • PROCEEDINGS OF THE 26TH AUSTRALASIAN COMPUTING EDUCATION CONFERENCE, ACE 2024 • 114-123 Doughty J, Wan Z, Bompelli A, Qayum J, Wang T, Zhang J, Zheng Y, Doyle A, Sridhar P, Agarwal A, Bogart C, Keylor E, Kultur C, Savelka J, Sakr M Conference Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners 2024 1842-1843 Tseng Y-J, Xiao R, Bogart C, Savelka J, Sakr M
Journal Article A comparative study of AI-generated and human-crafted learning objectives in computing education 2025 • Journal of Computer Assisted Learning • 41(1): Doyle A, Sridhar P, Agarwal A, Savelka J, Sakr M
Preprint AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce 2025 Savelka J, Kultur C, Agarwal A, Bogart C, Burte H, Zhang A, Sakr M
Conference A Benchmark for Testing the Capabilities of LLMs in Assessing the Quality of Multiple-choice Questions in Introductory Programming Education 2024 193-199 Ramesh A, Agarwal A, Doughty JA, Ramaneti K, Savelka J, Sakr M
Conference A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education 2024 • PROCEEDINGS OF THE 26TH AUSTRALASIAN COMPUTING EDUCATION CONFERENCE, ACE 2024 • 114-123 Doughty J, Wan Z, Bompelli A, Qayum J, Wang T, Zhang J, Zheng Y, Doyle A, Sridhar P, Agarwal A, Bogart C, Keylor E, Kultur C, Savelka J, Sakr M
Conference Assessing the Efficacy of Goal-Based Scenarios in Scaling AI Literacy for Non-Technical Learners 2024 1842-1843 Tseng Y-J, Xiao R, Bogart C, Savelka J, Sakr M
