Year: 2024
Type: article
Abstract: The emergent behavior of automatic programming exhibited by Large Language Models (LLMs) has raised uncertainty about the future of programming and its teaching. To better understand this phenomenon, we conducted a field study with programming instructors and students that informed the design of an intelligent tutor to integrate Generative Artificial Intelligence (GAI) into the educational environment. The resulting tool, EVA-Tutor (Virtual Learning Environment), supports the teaching and learning process of programming by establishing bidirectional communication between the student and the LLM through a GPT-4 API and a set of prompts designed to guide and motivate the student with personalized feedback. Rather than solving the problem for the student, the tool helps direct them toward solving it independently. A preliminary evaluation with students and instructors provides evidence of EVA-Tutor's utility and ease of use for problem-solving, knowledge acquisition, and the development of programming skills.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4406809814