Understanding pre-service teachers' intention to adopt and use artificial intelligence in Nigerian inclusive classrooms DOI Creative Commons
Olufemi Timothy Adigun,

Faisat Adeniran Tijani,

Cynthy K. Haihambo

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 3, 2025

Introduction This study applied the Unified Theory of Acceptance and Use Technology (UTAUT) to provide an understanding behavioral intentions pre-service teachers in adoption utilization artificial intelligence (AI) tools for educational engagement inclusive classroom. Methods The cross-sectional collected data through a validated questionnaire from 411 were analyzed with descriptive statistics such as frequency counts simple percentage calculation, well inferential which involved correlational analysis Structural Equation Modeling (SEM). Results established that effort expectancy had positive direct significant contribution perceived intention adopt use AI education teaching. Technological self-efficacy no contributory effect on these teachers' did, however, have indirect performance social influence teaching, based their technological self-efficacy. Discussion implication findings this points exigency need strengthen institutional policies teacher preparation curricula manner would advance infusion teaching learners special needs.

Язык: Английский

An Exploration of E-Teaching Preparedness of Pre-Service Teachers of Learners with Special Needs DOI Creative Commons
Olufemi Timothy Adigun, Oluwaseyi Ganiyu Quadri, Udeme Samuel Jacob

и другие.

Africa Education Review, Год журнала: 2025, Номер unknown, С. 1 - 25

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

0
Integrated Volume Card Game Make A Match Learning Model: Improving Motivation of Learning Outcomes of the Concept of Spatial Building DOI Creative Commons

Anggun Tri Wahyuni,

Yuli Witanto

Journal Evaluation in Education (JEE), Год журнала: 2025, Номер 6(1), С. 166 - 176

Опубликована: Янв. 18, 2025

Purpose of the study: This study aims to design, develop, and evaluate effectiveness an innovative interactive learning medium, a volume card game integrated with Make Match cooperative model, enhance students' conceptual understanding in mathematics. Methodology: Using ADDIE model (Analysis, Design, Development, Implementation, Evaluation). Data collection tools included pretest-posttest questionnaires, expert validation sheets, N-Gain analysis assess media’s validity effectiveness. Statistical analysis, including Paired Samples T-Test, was conducted using SPSS software. Main Findings: The findings revealed that achieved high score 91% according evaluations, indicating it is well-suited for classroom use. Furthermore, significantly improved student outcomes, as evidenced by T-Test results (p = 0.000) 0.7575, which falls category. Positive feedback overwhelming, 98.6% students reporting engaging, enjoyable, effective fostering their concepts. Novelty/Originality this introduces combination strategies, addressing challenges teaching abstract mathematical By merging gamification collaborative learning, provides engaging practical approach motivation deepen understanding. novelty research lies its dual focus on integrating educational games demonstrating scalable potential application broader topics academic contexts.

Язык: Английский

Процитировано

0
Understanding pre-service teachers' intention to adopt and use artificial intelligence in Nigerian inclusive classrooms DOI Creative Commons
Olufemi Timothy Adigun,

Faisat Adeniran Tijani,

Cynthy K. Haihambo

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 3, 2025

Introduction This study applied the Unified Theory of Acceptance and Use Technology (UTAUT) to provide an understanding behavioral intentions pre-service teachers in adoption utilization artificial intelligence (AI) tools for educational engagement inclusive classroom. Methods The cross-sectional collected data through a validated questionnaire from 411 were analyzed with descriptive statistics such as frequency counts simple percentage calculation, well inferential which involved correlational analysis Structural Equation Modeling (SEM). Results established that effort expectancy had positive direct significant contribution perceived intention adopt use AI education teaching. Technological self-efficacy no contributory effect on these teachers' did, however, have indirect performance social influence teaching, based their technological self-efficacy. Discussion implication findings this points exigency need strengthen institutional policies teacher preparation curricula manner would advance infusion teaching learners special needs.

Язык: Английский

Процитировано

0