Development of electronic assessment (eA) media assisted by artificial intelligence in accommodating inquiry learning models and STEM approaches: How is it feasible in physics learning?

Closed

Fauzan Sulman, Lia Yuliati, Sentot Kusairi, Arif Hidayat

2026 AIP Conference Proceedings Vol. 3226 Issue 1 Conference paper Cited by 0

Abstract

Electronic Assessment (eA) media can be a forum for implementing physics lectures using inquiry and STEM models. The development of Electronic Assessment integrated Artificial Intelligence (AI) is a breakthrough in physics learning, especially in fluid materials. This research is development research with the ADDIE model. The research was carried out in the S1 Tadris Physics study program at UIN Sulthan Thaha Saifuddin Jambi, which consisted of six material experts, six media experts, and 12 Tadris physics students in the first semester of the 2022/2023 academic year. The research results showed that product developers scored 3.79 for content validation and 3.77 for construct validation, and the overall product validation score obtained a score of 3.78 in the valid category. The eA media readability test findings were 98.50% and included in the outstanding readability category. This research shows that eA, integrated with artificial intelligence as a container for inquiry models and STEM approaches, is very suitable for learning physics, especially fluids. © 2026 Author(s).

Affiliations

Universitas Negeri Malang, Malang, Indonesia; UIN Sulthan Thaha Saifuddin Jambi, Jambi, Indonesia