Search Results for author:
Found 9 papers, 1 papers with code
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models
In this paper, we propose a new way to teach programming with Prompt Problems.
The Robots are Here: Navigating the Generative AI Revolution in Computing Education
Second, we report the findings of a survey of computing students and instructors from across 20 countries, capturing prevailing attitudes towards LLMs and their use in computing education contexts.
Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators
In parallel with this shift, a new essential skill is emerging -- the ability to construct good prompts for code-generating models.
Computing Education in the Era of Generative AI
The computing education community has a rich history of pedagogical innovation designed to support students in introductory courses, and to support teachers in facilitating student learning.
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers
Recent developments in deep learning have resulted in code-generation models that produce source code from natural language and code-based prompts with high accuracy.
Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
The introductory programming sequence has been the focus of much research in computing education.
Using Large Language Models to Enhance Programming Error Messages
Large language models can be used to create useful and novice-friendly enhancements to programming error messages that sometimes surpass the original programming error messages in interpretability and actionability.
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation
Swift response to the detection of endangered minors is an ongoing concern for law enforcement.
Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning
Achieving high performance for facial age estimation with subjects in the borderline between adulthood and non-adulthood has always been a challenge.
