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Keunjae Kim; Kyungbin Kwon – Education and Information Technologies, 2024
The popularity of artificial intelligence (AI) has highlighted the necessity of K-12 AI education, particularly at the elementary level. However, the lack of a comprehensive and age-appropriate AI curriculum integrated into school subjects, along with the abstract and complex nature of AI concepts, exacerbates student inequalities. Researchers…
Descriptors: Artificial Intelligence, Curriculum Development, Program Effectiveness, Elementary School Students
Shuling Yang; Carin Appleget – Journal of Digital Learning in Teacher Education, 2024
Guided by the Technology Acceptance Model, the researchers designed a Google Form survey to explore elementary preservice teachers' (PSTs') perceptions of using Generative AI (GenAI) as part of an authentic literacy methods course activity. Following the activity, responses to a qualitative survey were analyzed to learn about PSTs' experience of…
Descriptors: Artificial Intelligence, Educational Technology, Preservice Teachers, Elementary School Teachers
Abdulla Al Darayseh; Nazan Mersin – International Electronic Journal of Mathematics Education, 2025
This study investigates the perceptions of STEM teachers regarding the integration of generative artificial intelligence (AI) applications into classroom settings, using the extended Technology Acceptance Model (TAM) as the framework. The study examines self-efficacy, anxiety, perceived ease of use, expected benefits, attitudes, and behavioral…
Descriptors: Artificial Intelligence, STEM Education, Science Teachers, Mathematics Teachers
Amine Nur Yanar; Özkan Ergene – Journal of Pedagogical Research, 2025
This study examines the utilization of ChatGPT by pre-service mathematics teachers during the 5E lesson planning process, focusing on its affordances, constraints, and potential as a supportive tool in education. Twenty-one pre-service mathematics teachers, selected through purposive sampling, participated in the study. Data collection included 5E…
Descriptors: Artificial Intelligence, Preservice Teachers, Mathematics Teachers, Lesson Plans
Nja, Cecilia Obi; Idiege, Kimson Joseph; Uwe, Uduak Edet; Meremikwu, Anne Ndidi; Ekon, Esther Etop; Erim, Costly Manyo; Ukah, Julius Ukah; Eyo, Eneyo Okon; Anari, Mary Ideba; Cornelius-Ukpepi, Bernedette Umalili – Smart Learning Environments, 2023
This study investigated the factors influencing science teachers' 'Artificial Intelligence' (AI) utilization by using the 'Technology Acceptance Model' (TAM). The factors investigated alongside TAM variables were teachers' data like; age, sex, and residence type. TAM items that were correlated in this study included; self-esteem, stress and…
Descriptors: Science Teachers, Educational Technology, Technology Integration, Artificial Intelligence
Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction

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