Adoption of artificial intelligence in science teaching: From the vantage point of the African science teachers

Smart Learning Environments

Research

Uduak Edet Uwe¹  Costly Manyo Erim¹  Julius Ukah Ukah¹  Kimson Joseph Idiege¹  Esther Etop Ekon¹  Eneyo Okon Eyo¹  Cecilia Obi Nja¹  Mary Ideba Anari¹  Anne Ndidi Meremikwu¹  Bernedette Umalili Cornelius-Ukpepi¹ 

[1] University of Calabar, Calabar, Cross River State, Nigeria;

关键词: Adoption;    Artificial intelligence;    Science teachers;    Self-esteem;    Behavioural intention;    Age;   

DOI  :  10.1186/s40561-023-00261-x

 received in 2023-05-19, accepted in 2023-08-30,  发布年份 2023

来源: Springer

【 摘 要 】

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 = .789. Science teachers' sex (t, 77 = 1.988; p = .060, (p ˃ .05), age F (2, 76) = .547; p = .581 (p ˃ .05) and teachers' residence location (t, .77 = .533; p = − .062 (p ˃ .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.

【 授权许可】

CC BY   
© Springer Nature Singapore Pte Ltd., part of Springer Nature 2023

【 图 表 】

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