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Ismaila Temitayo Sanusi; Kissinger Sunday; Solomon Sunday Oyelere; Jarkko Suhonen; Henriikka Vartiainen; Markku Tukiainen – Computer Science Education, 2024
Background and context: Researchers have been investigating ways to demystify machine learning for students from kindergarten to twelfth grade (K-12) levels. As little evidence can be found in the literature, there is a need for additional research to understand and facilitate the learning experience of children while also considering the African…
Descriptors: Artificial Intelligence, Foreign Countries, Elementary Secondary Education, Interaction
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Adedayo Olayinka Theodorio; Zayd Waghid; Tawanda Wallace Mataka; Oyebimpe Adegoke – Education and Information Technologies, 2024
Given the deluge of technology flowing into African countries from the global north, it is not a hyperbole to make a point that developed nations are better equipped to practically integrate Smart Technologies supporting Artificial Intelligence (STAI) into higher education teaching methodologies. However, conversations regarding the application of…
Descriptors: Foreign Countries, Educational Technology, Technology Integration, Artificial Intelligence
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Musa Adekunle Ayanwale; Owolabi Paul Adelana; Tolulope Timothy Odufuwa – Discover Education, 2024
In the rapidly evolving landscape of education, Artificial Intelligence (AI) has emerged as a transformative tool with the potential to revolutionize teaching and learning processes. However, the successful integration of AI in education depends on the trust and acceptance of teachers. This study addresses a significant gap in research by…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Trust (Psychology)
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Juliana Ego Azonuche; Juliet Obiageli Okoruwa; Comfort Ukrajit Sonye; Gbenga Samuel Oladosu – International Journal of Learning and Change, 2024
The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…
Descriptors: Foreign Countries, Higher Education, Textiles Instruction, Clothing
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Clinton Chidiebere Anyanwu; Pauline Ndidi Ononiwu; Grace Ngozi Isiozor – Education and Information Technologies, 2024
In contemporary society, information and communication technology permeates every aspect of human life, including education. This study investigates the impact of WhatsApp chatbot technology and Glaser's teaching approaches on the academic performance of economics education students in tertiary institutions. Grounded in activity theory, the study…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Teaching Methods
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Moses Segbenya; Felix Senyametor; Simon-Peter Kafui Aheto; Edmond Kwesi Agormedah; Kwame Nkrumah; Rebecca Kaedebi-Donkor – Cogent Education, 2024
This study examined the effect of antecedents of artificial intelligence (AI) on the productivity of academics in higher education. The study was guided by the pragmatic epistemic perspective predicated on the concurrent integrated mixed-method design used with the support of a Google softcopy version of the semi-structured questionnaire (closed…
Descriptors: Influences, Artificial Intelligence, Productivity, College Faculty
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Eke Ogbu Eke – Journal of Educational Technology and Online Learning, 2024
This study investigated readiness and attitudes of Nigerian teacher educators towards adoption of Artificial intelligence (AI) in educational. The population of the study included teacher educators from various educational institutions in Nigeria, and a sample size of 250 participants was used. The study utilized four research questions to explore…
Descriptors: Readiness, Teacher Attitudes, Teacher Educators, Artificial Intelligence
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Usani Joseph Ofem; Valentine Joseph Owan; Mary Arikpo Iyam; Maryrose Ify Udeh; Pauline Mbua Anake; Sylvia Victor Ovat – Education and Information Technologies, 2025
While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…
Descriptors: Student Attitudes, Usability, Artificial Intelligence, Technology Uses in Education
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Aniekan Essien; Adewale Salami; Olubunmi Ajala; Bamidele Adebisi; Adesina Shodiya; Grace Essien – Smart Learning Environments, 2024
This study explores how socio-cultural dynamics influence student engagement with Generative AI technology in Nigerian higher education, using activity theory as theoretical underpinning. By examining the roles of community norms, technological accessibility, and educational objectives, the research identifies critical factors that impact the…
Descriptors: Cultural Influences, Social Influences, Foreign Countries, Learner Engagement
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Victoria Olubola Adeyele; Umesh Ramnarain – International Journal of Technology in Education, 2024
ChatGPT, an AI-powered service known for its effective delivery of information and solutions, has the potential to transform education, scientific problem-solving, and student learning. However, to fully harness its advantages, understanding the pedagogical approach needed is essential. This study explores teachers' awareness of ChatGPT and the…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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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
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Owolabi Paul Adelana; Musa Adekunle Ayanwale; Ismaila Temitayo Sanusi – Cogent Education, 2024
This study addresses the challenge of teaching genetics effectively to high school students, a topic known to be particularly challenging. Leveraging the growing importance of artificial intelligence (AI) in education, the research explores the perspectives, attitudes, and behavioral intentions of pre-service teachers regarding the integration of…
Descriptors: Preservice Teachers, Biology, Science Teachers, Intention
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Temitope Oteyola; Oluyemisi Akintitan; Oyetola Oyeniran – International Journal of Education and Development using Information and Communication Technology, 2023
Challenges of teaching Mathematics include inadequate teachers, over reliance on the talk and chalk method of teaching and inadequate use of instructional materials. These resulted in poor academic performance among secondary school students in Osun State, Nigeria. This study therefore determined the effect of locally developed smart learning…
Descriptors: Foreign Countries, Mathematics Instruction, Teaching Methods, Technology Uses in Education
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Bosede Iyiade Edwards, Editor; Bruno Lot Tanko, Editor; Mustafa Klufallah, Editor; Hassan Abuhassna, Editor; Caleb Chidozie Chinedu, Editor – Lecture Notes in Educational Technology, 2025
This book explores the symbiotic relationship between human learning and machine learning, examining how emerging technologies and human-machine interfaces are reshaping the educational landscape. Organized into four sections with 20 chapters, it provides a multidisciplinary perspective on the dynamic intersection of these twin concepts. Bridging…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Learning