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Bilge Gök; Mahmut Ayaz; Yasemin Erdem; Yusuf Kasap – International Journal of Technology in Education, 2024
This current study aims to determine the factors affecting teachers' attitudes towards e-portfolios by using data mining methods such as the Classification and Regression Tree (CART) algorithm and Random Forest (RF) algorithm. The study group consists of 449 participants willing to participate on a volunteer basis. In the study, the data were…
Descriptors: Foreign Countries, Elementary School Teachers, Portfolio Assessment, Technology Integration
Steven R. Frechette – ProQuest LLC, 2024
This study investigates student perceptions of artificial intelligence (AI). The study analyzed four independent variables -- age, gender, school, and employment -- to predict students' level of readiness to adopt AI within an educational setting. Using an instrument with two constructs, data was collected from a diverse, multicultural group of…
Descriptors: Community College Students, Community Colleges, Student Attitudes, Artificial Intelligence
Madina Bekturova; Saule Tulepova; Altnay Zhaitapova – Education and Information Technologies, 2025
The advancement of technologies has resulted in the boost of a popular chatbot software -- ChatGPT. It is ripe with potential, yet has introduced various challenges, especially in the world of education. This paper aims to explore how TEFL (Teaching English as a foreign language) students perceive the usefulness and ease of using ChatGPT in regard…
Descriptors: Foreign Countries, Predictor Variables, Second Language Learning, English (Second Language)