Adoption of Artificial Intelligence in Science Teaching: From the Vantage Point of the African Science Teachers

Autor/inn/en	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
Titel	Adoption of Artificial Intelligence in Science Teaching: From the Vantage Point of the African Science Teachers
Quelle	In: Smart Learning Environments, 10 (2023), Artikel 42 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
DOI	10.1186/s40561-023-00261-x
Schlagwörter	Science Teachers; Educational Technology; Technology Integration; Artificial Intelligence; Teacher Characteristics; Self Esteem; Stress Variables; Anxiety; Usability; Difficulty Level; Intention; Computer Attitudes; Expectation; Program Effectiveness; Foreign Countries; Teacher Attitudes; Nigeria + Suchen Sie Ihr Suchwort? Science; Teacher; Teachers; Science teacher; Wissenschaft; Lehrer; Lehrerin; Lehrende; Unterrichtsmedien; Künstliche Intelligenz; Self-esteem; Selbstaufmerksamkeit; Angst; Schwierigkeitsgrad; Expectancy; Erwartung; Ausland; Lehrerverhalten
Abstract	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 anxiousness, ease of utilization, behavioural intention, attitude towards AI usage, and expected benefits. The population of this study comprised all science teachers (170) in the Calabar Education Zone of Cross River State, Nigeria. The sample was made up of 79 science teachers comprising (58.22%) 46 females and (41.77%) 33 males. The descriptive and analytical research design was used in this study. A questionnaire named ' Approval of Artificial Intelligence: The Teachers' Eye' Questionnaire (AAITEQ) was used for the study. This study raised 3 research questions. The reliability for AAITEQ was from 0.72 to 0.81 using Cronbach's alpha. Findings indicated that the approval for the utilization of AI was high with an overall mean score of 3.00. The highest predicting value for behaviour intent using TAM variables was the ease of usage r = 0.789. Science teachers' sex (t, 77 = 1.988; p = 0.060, (p ? 0.05), age F (2, 76) = 0.547; p = 0.581 (p ? 0.05) and teachers' residence location (t, 0.77 = 0.533; p = - 0.062 (p ? 0.05) did not influence the behaviour of science teachers' intention of the utilization of AI. It was recommended that both in-service and pre-service teachers be trained on the utilization of AI. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01