Mohammad Hassany

According to our database, Mohammad Hassany authored at least 7 papers in 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers.

Aysa Xuemo Fan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Jiaze Ke

CoRR, 2024

Explaining Code Examples in Introductory Programming Courses: LLM vs Humans.

Arun Balajiee Lekshmi Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, Peter Brusilovsky, Vasile Rus

CoRR, 2024

Authoring Worked Examples for JAVA Programming with Human AI Collaboration.

Mohammad Hassany, Jiaze Ke, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Human-AI Co-Creation of Worked Examples for Programming Classes.

Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan

Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

Enhancing Health Recommendations through Patient Metadata Integration: A Persona-Based Evaluation Approach.

Khushboo Thaker, Peter Brusilovsky, Daqing He, Youjia Wang, Mohammad Hassany, Behnam Rahdari, Heidi Donovan, Young Ji Lee

Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Health Document Presentation in Patient-Centered Recommender Systems with Carousel Interfaces.

Behnam Rahdari, Peter Brusilovsky, Daqing He, Khushboo Thaker, Mohammad Hassany, Youjia Wang, Young Ji Lee, Heidi Donovan

Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024) co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024

Engaging an LLM to Explain Worked Examples for Java Programming: Prompt Engineering and a Feasibility Study.

Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan

Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024