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Download full textAdeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
Direct linkOluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
Ohanu, Ifeanyi B.; Shodipe, Taiwo O.; Ohanu, Chinenye M-G.; Anene-Okeakwa, Josephine E. – E-Learning and Digital Media, 2023
There are declines in learning outcomes despite teacher's efforts to attain the lesson goals and objectives. The application of technology in education paved way for constructive teaching and learning, which made the evaluative processes convenient. Hence, this study investigated system quality, technology acceptance model and theory of planned…
Descriptors: Educational Technology, Technology Uses in Education, Blended Learning, College Students
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
Lawrence, Japhet E. – International Journal of Adult Vocational Education and Technology, 2018
There is a growing demand on educational institutions to use ICT to teach the skills and knowledge students need for the digital age. The integration of ICT into education provides opportunities for teachers and students to work better in a globalized digital age, particularly in teaching and learning environment, where teaching and learning can…
Descriptors: Performance Factors, Influences, Technology Integration, Teaching Methods
Isiyaku, Dauda Dansarki; Ayub, Ahmad Fauzi Mohd; Abdulkadir, Suhaida – South African Journal of Education, 2015
This study has empirically tested the fitness of a structural model in explaining the influence of two exogenous variables (perceived enjoyment and attitude towards ICTs) on two endogenous variables (behavioural intention and teachers' Information Communication Technology (ICT) usage behavior), based on the proposition of Technology Acceptance…
Descriptors: Foreign Countries, Business Administration Education, College Faculty, Intention
Tajudeen, Shittu Ahmed; Basha, Madarsha Kamal; Michael, Fakomogbon O.; Mukthar, Alhaji Liman – Malaysian Online Journal of Educational Technology, 2013
This study was conducted to understand the determinant of mobile devices for learning among students in the developing world. A sample of 247 undergraduate students from Malaysia and Nigeria were involved in the study. An adapted but modified survey instrument was used to gather the data of the study. The variable of the study are perceived…
Descriptors: Telecommunications, Handheld Devices, Undergraduate Students, Student Surveys
