Gudeg meets AI: a culturally integrated discovery learning e-book to evolute creative thinking and physics identity

This study aims to develop an AI-assisted Discovery Learning-based E-Book on Temperature and Heat, integrating Gudeg’s local context to enhance high school students' creative thinking skills and physics identity. Utilizing the Research and Development (R&D) method, the study adopts three st...

ver descrição completa

Detalhes bibliográficos
Autores: Setiaji, Bayu, Kuswanto, Heru, Wiyatmo, Yusman, Perdana, Riki, Pujianto, Pujianto, Putri Maharani, Devinda, Nikmah Fadillah, Nely, Maulida Sakinata, Asya
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/457087
Acesso em linha:https://hdl.handle.net/2117/457087
https://dx.doi.org/10.3926/jotse.3630
Access Level:acceso abierto
Palavra-chave:Artificial intelligence -- Educational applications
Electronic books
Learning by discovery
Creative thinking
E-Book
AI
Discovery learning
Gudeg
Physics identity
Intel·ligència artificial -- Aplicacions a l'educació
Llibres electrònics
Aprenentatge per descobriment
Pensament creatiu
Àrees temàtiques de la UPC::Ensenyament i aprenentatge::TIC's aplicades a l'educació
Descrição
Resumo:This study aims to develop an AI-assisted Discovery Learning-based E-Book on Temperature and Heat, integrating Gudeg’s local context to enhance high school students' creative thinking skills and physics identity. Utilizing the Research and Development (R&D) method, the study adopts three stages of the 4D model by Thiagarajan. The feasibility and practicality of the E-Book were assessed through expert validation and student readability tests, involving 58 grade 12 students. Data were collected using feasibility sheets, student questionnaires, pretest-posttest questions, and a physics identity questionnaire, with analysis conducted through descriptive statistics (SBI) and inferential tests, including normality, homogeneity, one-sample t-test, and Wilcoxon tests. The findings confirm that the developed E-Book is both feasible and practical for physics learning, significantly enhancing students' creative thinking and physics identity beyond the reference standards. This study contributes to physics education by integrating AI-assisted Discovery Learning with local cultural elements, offering an innovative approach to fostering creative thinking and strengthening students' physics identity