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Bin Tan; Nour Armoush; Elisabetta Mazzullo; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2025
This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed a comprehensive literature search across seven research databases, selected studies based on predefined criteria, and summarized 60 relevant studies that employed LLMs in the AIG process. We identified the most commonly…
Descriptors: Artificial Intelligence, Test Items, Automation, Test Format
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
Arzu Deveci Topal; Asiye Toker Gökçe; Canan Dilek Eren; Aynur Kolburan Geçer – Journal of Learning and Teaching in Digital Age, 2025
This study aims to adapt to Turkish the "Scale for the assessment of non-experts: AI literacy" developed by Laupichler et al. (2023a). The scale consists of 31 items with three sub-dimensions: technical understanding, critical thinking, and practical applications. The data required for the validity and reliability study of the scale were…
Descriptors: Artificial Intelligence, Technological Literacy, Measures (Individuals), Foreign Countries
Helen Zhang; Anthony Perry; Irene Lee – International Journal of Artificial Intelligence in Education, 2025
The rapid expansion of Artificial Intelligence (AI) in our society makes it urgent and necessary to develop young students' AI literacy so that they can become informed citizens and critical consumers of AI technology. Over the past decade many efforts have focused on developing curricular materials that make AI concepts accessible and engaging to…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Artificial Intelligence
Chien Wen Yuan; Hsin-yi Sandy Tsai; Yu-Ting Chen – Journal of Educational Computing Research, 2024
The rapid evolution of AI technologies has reshaped our daily lives. As AI systems become increasingly prevalent, AI literacy, the ability to comprehend and engage with these technologies, becomes paramount in modern society. However, existing research has yet to establish a comprehensive framework for AI literacy. This study aims to fill this gap…
Descriptors: Holistic Approach, Measures (Individuals), Artificial Intelligence, Multiple Literacies
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
Yongzhong Yang; Haoran Xu – Journal of Creative Behavior, 2025
With the rapid advancement of artificial intelligence (AI), AI creativity has demonstrated significant potential for application across various fields. This study aims to explore the multidimensional characteristics of AI creativity from the audience's perspective and to develop a corresponding measurement scale. Specifically, Study 1 utilized…
Descriptors: Artificial Intelligence, Creativity, Measures (Individuals), Test Construction
Marcelo Fernando Rauber; Christiane Gresse von Wangenheim; Pedro Alberto Barbetta; Adriano Ferreti Borgatto; Ramon Mayor Martins; Jean Carlo Rossa Hauck – Informatics in Education, 2024
The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of…
Descriptors: Artificial Intelligence, Measures (Individuals), Test Reliability, Test Validity
Bilal Younis – Journal of Digital Learning in Teacher Education, 2025
Artificial Intelligence (AI) is increasingly recognized as a transformative force in education, offering numerous benefits for classroom learning. This study aimed to develop and validate a scale for assessing AI competencies among teachers, focusing on their ability to integrate AI into teaching practices. The study involved 292 secondary-level…
Descriptors: Artificial Intelligence, Technological Literacy, Test Construction, Test Validity
Wang, Yu-Yin; Wang, Yi-Shun – Interactive Learning Environments, 2022
While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Anxiety
Ayoub Hamdan Al-Rousan; Mohammad Nayef Ayasrah; Shimaa Mkhymr Salih Yahya; Mohamad Ahmad Saleem Khasawneh – European Journal of Education, 2025
The acceptance of artificial intelligence (AI) in academic settings, particularly in the context of research creativity, is a growing area of interest. This study aimed to design and validate the AI Acceptance and Research Creativity Scale (AIA&RCS) among faculty members. This exploratory mixed-method was conducted among 720 faculty members. A…
Descriptors: Test Construction, Psychometrics, Artificial Intelligence, Teacher Attitudes
Kate E. Walton; Cristina Anguiano-Carrasco – ACT, Inc., 2024
Large language models (LLMs), such as ChatGPT, are becoming increasingly prominent. Their use is becoming more and more popular to assist with simple tasks, such as summarizing documents, translating languages, rephrasing sentences, or answering questions. Reports like McKinsey's (Chui, & Yee, 2023) estimate that by implementing LLMs,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, 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
Liou, Gloria; Bonner, Cavan V.; Tay, Louis – International Journal of Testing, 2022
With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are…
Descriptors: Psychometrics, Computer Assisted Testing, Adaptive Testing, Data