Type: conference-paper
Abstract: As the variety of available AI elements has expanded, it has become necessary to reconsider the AI elements and learning activities included in system development exercises.This study analyzes the relationship between exercise conditions and students' selection of AI elements and their learning methods, based on three system development exercises involving AI elements.The results showed that exercises requiring machine learning elements that require training led to a higher use of conventional machine learning and more cases involving new model training.These results suggest that exercise conditions may influence students' selection of AI elements and their learning methods.
Author: 猿渡 卓也
Language: Japanese
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7221731637