ABSTRACT
In the past year, large language models (LLMs) have taken the world by storm, demonstrating their potential as a transformative force in many domains including computing education. Computing education researchers have found that LLMs can solve most assessments in introductory programming courses, including both traditional code writing tasks and other popular tasks such as Parsons problems. As more and more students start to make use of LLMs, the question instructors might ask themselves is "what can I do?". We propose that one promising way forward is to integrate LLMs into teaching practice, providing all students with an equal opportunity to learn how to interact productively with LLMs as well as encounter and understand their limitations. In this workshop, we first present state-of-the-art research results on how to utilize LLMs in computing education practice, after which participants will take part in hands-on activities using LLMs. We end the workshop by brainstorming ideas with participants around adapting their classrooms to most effectively integrate LLMs while avoiding some common pitfalls.
Index Terms
- Using Large Language Models for Teaching Computing
Recommendations
Teaching Practices for Making E-Textiles in High School Computing Classrooms
FabLearn '17: Proceedings of the 7th Annual Conference on Creativity and Fabrication in Education1Recent discussions have focused on rich STEM learning opportunities and various equity challenges in setting up and researching out-of-school makerspaces and activities. In turning to school classrooms, we want to understand the critical practices that ...
Professional Learning in the Midst of Teaching Computer Science
ICER '18: Proceedings of the 2018 ACM Conference on International Computing Education ResearchThe recent groundswell of interest in computer science education across many countries has created a pressing need for computing teachers at the secondary level. To satisfy this demand, some educational systems are drawing from their pool of in-service ...
Large Language Models in Finance: A Survey
ICAIF '23: Proceedings of the Fourth ACM International Conference on AI in FinanceRecent advances in large language models (LLMs) have opened new possibilities for artificial intelligence applications in finance. In this paper, we provide a practical survey focused on two key aspects of utilizing LLMs for financial tasks: existing ...
Comments