Perceptions of and Behavioral Intentions towards Learning Artificial Intelligence in Primary School Students

Artificial Intelligence (AI) is increasingly popular, and educators are paying increasing attention to it. For students, learning AI helps them better cope with emerging societal, technological, and environmental challenges. This theory of planned behavior (TPB)-based study developed a survey questi...

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Published inEducational Technology & Society Vol. 24; no. 3; pp. 89 - 101
Main Authors Chai, Ching Sing, Lin, Pei-Yi, Jong, Morris Siu-Yung, Dai, Yun, Chiu, Thomas K. F., Qin, Jianjun
Format Journal Article
LanguageEnglish
Published International Forum of Educational Technology & Society 01.07.2021
International Forum of Educational Technology & Society
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Abstract Artificial Intelligence (AI) is increasingly popular, and educators are paying increasing attention to it. For students, learning AI helps them better cope with emerging societal, technological, and environmental challenges. This theory of planned behavior (TPB)-based study developed a survey questionnaire to measure behavioral intention to learn AI (n = 682) among primary school students. The questionnaire was administered online, and it measured responses to five TPB factors. The five factors were (1) self-efficacy in learning AI, (2) AI readiness, (3) perceptions of the use of AI for social good, (4) AI literacy, and (5) behavioral intention. Exploratory factor analysis and a subsequent confirmatory factor analysis were used to validate this five-factor survey. Both analyses indicated satisfactory construct validity. A structural equation model (SEM) was constructed to elucidate the factors' influence on intention to learn AI. According to the SEM, all factors could predict intention to learn AI, whether directly or indirectly. This study provides new insights for researchers and instructors who are promoting AI education in schools.
AbstractList Artificial Intelligence (AI) is increasingly popular, and educators are paying increasing attention to it. For students, learning AI helps them better cope with emerging societal, technological, and environmental challenges. This theory of planned behavior (TPB)-based study developed a survey questionnaire to measure behavioral intention to learn AI (n = 682) among primary school students. The questionnaire was administered online, and it measured responses to five TPB factors. The five factors were (1) self-efficacy in learning AI, (2) AI readiness, (3) perceptions of the use of AI for social good, (4) AI literacy, and (5) behavioral intention. Exploratory factor analysis and a subsequent confirmatory factor analysis were used to validate this five-factor survey. Both analyses indicated satisfactory construct validity. A structural equation model (SEM) was constructed to elucidate the factors' influence on intention to learn AI. According to the SEM, all factors could predict intention to learn AI, whether directly or indirectly. This study provides new insights for researchers and instructors who are promoting AI education in schools.
Artificial Intelligence (AI) is increasingly popular, and educators are paying increasing attention to it. For students, learning AI helps them better cope with emerging societal, technological, and environmental challenges. This theory of planned behavior (TPB)-based study developed a survey questionnaire to measure behavioral intention to learn AI (n = 682) among primary school students. The questionnaire was administered online, and it measured responses to five TPB factors. The five factors were (1) self-efficacy in learning AI, (2) AI readiness, (3) perceptions of the use of AI for social good, (4) AI literacy, and (5) behavioral intention. Exploratory factor analysis and a subsequent confirmatory factor analysis were used to validate this five-factor survey. Both analyses indicated satisfactory construct validity. A structural equation model (SEM) was constructed to elucidate the factors' influence on intention to learn AI. According to the SEM, all factors could predict intention to learn AI, whether directly or indirectly. This study provides new insights for researchers and instructors who are promoting AI education in schools. Keywords: Artificial intelligence, Self-efficacy, Readiness, Social good, Literacy, Behavioral intention
Audience Elementary Education
Academic
Author Ching Sing Chai
Yun Dai
Thomas K. F. Chiu
Jianjun Qin
Pei-Yi Lin
Morris Siu-Yung Jong
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Keywords Social good
Readiness
Behavioral intention
Artificial intelligence
Literacy
Self-efficacy
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SubjectTerms Artificial Intelligence
Behavior
behavioral intention
Beliefs, opinions and attitudes
Educational Technology
Elementary School Students
Foreign Countries
Intention
Learning Motivation
Learning Readiness
Literacy
Public opinion
readiness
Self Efficacy
social good
Special Issue Articles
Student Attitudes
Study and teaching
Title Perceptions of and Behavioral Intentions towards Learning Artificial Intelligence in Primary School Students
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