Evaluating Artificial Intelligence Anxiety Among Pre-Service Teachers in University Teacher Education Programs DOI Creative Commons
Oluwanife Segun Falebita

Journal of Mathematics Instruction Social Research and Opinion, Год журнала: 2024, Номер 4(1), С. 1 - 18

Опубликована: Дек. 2, 2024

Adopting artificial intelligence (AI) in education for various purposes has become prominent and raised many user concerns. The concerns, apprehension, or fear that comes with the use of AI are referred to as Artificial Intelligence Anxiety (AI anxiety). Undergraduates most frequent users higher education. This study assessed anxiety among pre-service teachers. A survey conducted online was used data collection. sample 1067 teachers mathematics, science, technology teacher programs were purposefully selected study. questionnaire collect regarding teachers' AI-Anxiety six dimensions: intimidation, societal impact, job displacement, technological dependence, dread, ethical instrument hosted through Google Forms, gathered analyzed descriptively (percentage, mean, standard deviation) inferentially (ANOVA regression analysis). reveals a moderate level Levels vary across dimensions, five found be high while only one at level. It also significant variations based on their area speciality. Also, identified no influences demographic characteristics teachers, emphasizing gender. Thus, educators institutions should urgently embark literacy improve technologies ameliorate anxiety.

Язык: Английский

Design and Psychometric Evaluation of the Artificial Intelligence Acceptance and Usage in Research Creativity Scale Among Faculty Members: Insights From the Network Analysis Perspective DOI Open Access
Ayoub Hamdan Al‐Rousan, Mohammad Nayef Ayasrah,

Saadiah Yahya

и другие.

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 27, 2025

ABSTRACT The acceptance of artificial intelligence (AI) in academic settings, particularly the context research creativity, is a growing area interest. This study aimed to design and validate AI Acceptance Research Creativity Scale (AIA&RCS) among faculty members. exploratory mixed‐method was conducted 720 A literature review participant interviews were qualitative phase generate develop items. In quantitative phase, face validity, content construct convergent validity reliability (internal consistency stability) used. Exploratory factor analysis (EFA) indicated 4‐factor model scale with ‘perceived usefulness effectiveness creativity’, ‘ethical issues research’, ‘trusted capabilities’ ‘willingness use AI’ accounting for 51.6% variance. arrangement verified by confirmatory (CFA), fit indices that at suitable levels. Then, network took into account four‐factor structure AIA&RCS further. Similarly, graph (EGA) configuration AIA&RCS. 25‐item well‐suited measuring innovation because its psychometrics.

Язык: Английский

Процитировано

0
Exploring the acceptance of generative artificial intelligence-assisted learning and design creation among students in art design specialties: based on the extended TAM model DOI
Zhu Zhu, Y.J. Ren, Anna Shen

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Апрель 2, 2025

Язык: Английский

Процитировано

0
Perceptions of STEM education and artificial intelligence: a Twitter (X) sentiment analysis DOI Creative Commons
Demetrice Smith-Mutegi, Yoseph Mamo, Jinhee Kim

и другие.

International Journal of STEM Education, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

0
Evaluating Artificial Intelligence Anxiety Among Pre-Service Teachers in University Teacher Education Programs DOI Creative Commons
Oluwanife Segun Falebita

Journal of Mathematics Instruction Social Research and Opinion, Год журнала: 2024, Номер 4(1), С. 1 - 18

Опубликована: Дек. 2, 2024

Adopting artificial intelligence (AI) in education for various purposes has become prominent and raised many user concerns. The concerns, apprehension, or fear that comes with the use of AI are referred to as Artificial Intelligence Anxiety (AI anxiety). Undergraduates most frequent users higher education. This study assessed anxiety among pre-service teachers. A survey conducted online was used data collection. sample 1067 teachers mathematics, science, technology teacher programs were purposefully selected study. questionnaire collect regarding teachers' AI-Anxiety six dimensions: intimidation, societal impact, job displacement, technological dependence, dread, ethical instrument hosted through Google Forms, gathered analyzed descriptively (percentage, mean, standard deviation) inferentially (ANOVA regression analysis). reveals a moderate level Levels vary across dimensions, five found be high while only one at level. It also significant variations based on their area speciality. Also, identified no influences demographic characteristics teachers, emphasizing gender. Thus, educators institutions should urgently embark literacy improve technologies ameliorate anxiety.

Язык: Английский

Процитировано

0