R. Raharjo, E. Susantini, R. Rukmana
Introduction. The integration of AI in education has gained significant attention, and its potential to enhance teaching and learning outcomes is increasingly recognized. This study aimed to investigate whether the combination of Project-Based Learning (PBL) and artificial intelligence (AI) could improve pre-service teachers' pedagogical skills and the quality of their instructional materials. Methods. A quantitative, pre-experimental design with a one-group pretest-posttest format was employed. Thirty pre-service biology teachers participated in the study. Data were collected using a product assessment rubric to evaluate the quality of the e-worksheets created before and after the intervention. Additionally, a post-intervention questionnaire was administered to gather participants' perceptions and experiences. Paired samples t-tests were conducted to analyze the significance of the changes in e-worksheet quality. Results. The findings revealed a significant improvement in the quality of e-worksheets developed by the preservice teachers after participating in the AI-integrated PBL (M = 36.83, t = 26.33, p =.000). All aspects of the assessment covering content, design, functionality, accessibility, and technicality increased significantly (p =.000). This implied that the implementation of AI-assisted PBL enhanced pre-service teachers’ ability in developing biology e-worksheets. At the end of the class session, they also showed a very positive response (N = 30, Q = Q4) towards the experience of learning how to develop biology e-worksheets using AI. They agreed that AI-assisted PBL could enhance their creativity, problem-solving skills, and technology integration abilities. Conclusion. This study highlights the potential of AI-assisted PBL as a valuable approach for enhancing preservice biology teachers’ ability to develop e-worksheets, especially in the aspects of content, design, functionality, accessibility, and technicality. This study also gives a worthy learning experience in the age of AI by conducting an AI-powered learning mode. Thus, the findings of this study imply that teacher education programs should consider the integration of AI to help biology preservice teachers master AI-enhanced pedagogy and prepare them to be technologically literate teachers in the future. © (2025), (LLC Ecological Help). All rights reserved.
Department of Biology Education, Faculty of Mathematics and, Natural Science Universitas Negeri Surabaya, Surabaya, Indonesia; Department of Biology Education, Faculty of Mathematics and, Natural Science Universitas Negeri Surabaya, Surabaya, Indonesia; Department of Biology Education, Faculty of Mathematics, Natural Science Universitas Negeri Surabaya, Surabaya, Indonesia
