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Kimin Chung; Soohwan Kim; Yeonju Jang; Seongyune Choi; Hyeoncheol Kim – Education and Information Technologies, 2025
As artificial intelligence(AI) is utilised throughout society, the need to improve AI literacy as an essential competency, not only for specific experts but also for general citizens, is increasing. Therefore, several studies are being conducted on AI education, and attempts are being made to introduce it into the regular education curriculum.…
Descriptors: Artificial Intelligence, Technological Literacy, Diagnostic Tests, Elementary School Students
Deniz Mertkan Gezgin; Tugba Türk Kurtça – Education and Information Technologies, 2025
The purpose of this research is to create a reliable and valid scale to assess AIlessphobia in Education (the fear of being without Artificial Intelligence in education) among university students. In three phases, a sample of 1378 undergraduate students from different faculties at a public university participated in the reliability and validity…
Descriptors: Test Construction, Fear, Artificial Intelligence, Psychometrics
Deniz Görgülü; Fatma Coskun; Mustafa Demi?r; Mete Si?pahi?oglu – Education and Information Technologies, 2025
This study aims to examine the psychometric properties of a scale developed to measure teachers' ability to use artificial intelligence tools in education. The scale was originally proposed as having 33 items across 5 sub-dimensions by Chat GPT-4, an AI system. To establish content validity, the scale form was submitted to expert review. An…
Descriptors: Measures (Individuals), Artificial Intelligence, Technology Uses in Education, Psychometrics
Ferdiye Çobanogullari; Özge Özbek – Education and Information Technologies, 2025
This study introduces the "ChatGPT Usage Scale for Foreign Language Learners," designed to evaluate the usage of AI chatbots in language learning. The scale was developed based on a comprehensive literature review and expert evaluations, ensuring a strong theoretical foundation and content validity. It comprises three sub-dimensions…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Test Construction
Thomas K. F. Chiu; Zubair Ahmad; Murat Çoban – Education and Information Technologies, 2025
Evaluating teacher AI competence levels and building effective, safe, and healthy learning environment are crucial steps in transitioning to AI-based education. Current established digital competence frameworks may indirectly address AI competence but often overlook the impact of AI on society, ethics, and assessment. Research on teacher AI…
Descriptors: Artificial Intelligence, Elementary School Teachers, Secondary School Teachers, Test Construction
Yu-Yin Wang; Yu-Wei Chuang – Education and Information Technologies, 2024
With the development of artificial intelligence (AI) applications, it has become critical for scholars, educators and practitioners to understand an individual's perceived self-efficacy regarding the use of AI technologies/products. Understanding users' subsequent behaviors toward the advancement of AI technology is also critical. Despite the…
Descriptors: Artificial Intelligence, Self Efficacy, Test Construction, Test Validity
Jang, Yeonju; Choi, Seongyune; Kim, Hyeoncheol – Education and Information Technologies, 2022
As artificial intelligence (AI) becomes more prevalent, so does the interest in AI ethics. To address issues related to AI ethics, many government agencies, non-governmental organizations (NGOs), and corporations have published AI ethics guidelines. However, only a few test instruments have been developed to assess students' attitudes toward AI…
Descriptors: Artificial Intelligence, Ethics, Test Construction, Student Attitudes
Jiahong Su – Education and Information Technologies, 2024
With Artificial intelligence (AI) literacy gaining more and more attention at the kindergarten level, it is becoming critical to assess the AI literacy levels of kindergarten children and develop appropriate courses to enhance their foundational AI knowledge and skills. This study proposes and validates a comprehensive AI literacy assessment tool…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Digital Literacy
Shuchen Guo; Lehong Shi; Xiaoming Zhai – Education and Information Technologies, 2025
As artificial intelligence (AI) receives wider attention in education, examining teachers' acceptance of AI (TAAI) becomes essential. However, existing instruments measuring TAAI reported limited validity evidence and faced some design challenges, such as missing informed definitions of AI to participants. To fill this gap, this study developed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, Test Construction
Ulum, Ömer Gökhan – Education and Information Technologies, 2020
Artificial Intelligence (AI) is growing -- as can be clearly observed not only from the rising recognition of assistance tools such as Siri (Apple) but also from the newly introduced Google Voiced Translator. Yet, some crucial benchmarks still have to be supplied before it can act as a proxy for a real instructor: imagination, creativity, and…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Language Tests