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Download full textHanneke Theelen; Joyce Vreuls; Jim Rutten – International Journal of Technology in Education, 2024
The rapid development of artificial intelligence and large language models (LLMs) has led to significant advancements in applying machine learning techniques across diverse disciplines, including educational science research. This study investigates the potential of LLMs like ChatGPT for qualitative data analysis, focusing on open, axial,…
Descriptors: Artificial Intelligence, Science Education, Educational Research, Coding
Osman Erol; Osman Aköz; Raziye Güngör – International Journal of Technology in Education, 2024
The aim of this study is to examine the relationship between middle school students' attitudes towards robotic coding and their STEM career interests. For this purpose, data were collected from a total of 213 students studying in three different secondary schools in a province in the south of Turkey. The "STEM Career Interest" scale and…
Descriptors: Foreign Countries, Middle School Students, Student Attitudes, Robotics
Nevin Kozcu Cakir; Suna Karlidag – International Journal of Technology in Education, 2024
The purpose of the current study is to examine the effect of adapting the engineering design process to robotic coding, STEM, and the nature of science applications on teachers' self-efficacy towards engineering education and attitudes towards robotic coding. A weak experimental design with a single-group pre-test and post-test, one of the…
Descriptors: Engineering Education, Design, Robotics, Coding
