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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
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Usani Joseph Ofem; Valentine Joseph Owan; Cletus Ibout; Sylvai Victor Ovat – Pedagogical Research, 2025
This study employed repeated measures ANOVA to assess the reliability of an instrument designed to measure utilization, awareness, and perception of AI in research among 150 undergraduate students. Validated instruments with robust psychometric properties were used for the study. Data collection occurred in three phases spaced two weeks apart,…
Descriptors: Statistical Analysis, Test Reliability, Undergraduate Students, Attitude Measures
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Acosta-Prado, Julio César; Zárate-Torres, Rodrigo Arturo; Tafur-Mendoza, Arnold Alejandro – Journal of Intelligence, 2022
Within the organizational field, emotional intelligence is linked to socially competent behaviors, which allow the development of labor and organizational abilities necessary for professional development. Thus, in workers, emotional intelligence is related to a wide range of organizational variables. The purpose of the present study was to…
Descriptors: Psychometrics, Emotional Intelligence, Intelligence Tests, Test Reliability
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Yongtian Cheng; K. V. Petrides – Educational and Psychological Measurement, 2025
Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…
Descriptors: Psychological Studies, Artificial Intelligence, Cognitive Processes, Predictive Validity
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Sternberg, Robert J.; Wong, Chak Haang; Kreisel, Anastasia P. – Journal of Intelligence, 2021
Cultural intelligence is one's ability to adapt when confronted with problems arising in interactions with people or artifacts of diverse cultures. In this study, we conduct an initial construct-validation and assessment of a maximum-performance test of cultural intelligence. We assess the psychometric properties of the test and also correlate the…
Descriptors: Intelligence, Cultural Awareness, Adjustment (to Environment), Intelligence Tests
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Drei, Samer M. Abu – Pegem Journal of Education and Instruction, 2023
This study aimed to investigate the psychometric properties of the Wechsler-4 Intelligence Scale who are deaf with Mild Intellectual Disability. Descriptive survey method was used. The sample included (174) deaf students in Jordan, ranging in age from (6-16.11) years. The scale was also applied in sign language. Validity indicators were found…
Descriptors: Foreign Countries, Deafness, Students with Disabilities, Psychometrics
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Patricia del Pilar Diaz Gamarra; Fernando Joel Rosario Quiroz; Erika Roxana Estrada Alomía; Roxana Maribel Cárdenas Vila – Electronic Journal of Research in Educational Psychology, 2025
Introduction: The study of emotional regulation in university students is of great importance given the negative consequences of stress and mental distress caused by emotional dysregulation. The purpose of the study therefore was to carry out confirmatory factor and invariance analysis of Difficulties in Emotional Regulation Scale Short Form,…
Descriptors: Foreign Countries, College Students, Mental Health, Emotional Intelligence
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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
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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
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Fumiko Yoshida; Gary J. Conti; Toyoaki Yamauchi; Misa Kawanishi – Journal of Education and Learning, 2025
This paper presents the development and validation of the Learning & Educator Nurturing Style (LENS), a new inventory in Japanese designed to identify and assess educational philosophy. Based on the Philosophies Held by Instructors of Lifelong-learners (PHIL) framework, LENS was created through a rigorous back-translation process to ensure…
Descriptors: Foreign Countries, Educational Philosophy, Test Construction, Test Validity
Abdulrahman Alshammari – ProQuest LLC, 2024
A critical component of modern software development practices, particularly continuous integration (CI), is the halt of development activities in response to test failures which requires further investigation and debugging. As software changes, regression testing becomes vital to verify that new code does not affect existing functionality.…
Descriptors: Computer Software, Programming, Coding, Test Reliability
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Koolnaphadol, Pennapha; Inang, Pracha; Dudsdeemaytha, Jitra – International Journal of Instruction, 2022
Career intelligence is of major importance for students to understand their aptitudes, interests, and abilities. The aims of this quantitative research are 1) to develop an Online Career Intelligence Test (OCIT) for Thai high school students, and 2) to confirm factor analysis of the test. Multistage random sampling was performed on a sample of…
Descriptors: Self Evaluation (Individuals), Foreign Countries, High School Students, Ability
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Okada, Satoshi; Kawasaki, Yoko; Shinomiya, Mieko; Hoshino, Hiroshi; Ino, Tamiko; Sakai, Kazuko; Murakami, Kimiko; Ishida, Rie; Mizuno, Kaoru; Takayanagi, Mizuho; Niwa, Shin-Ichi – International Journal of School & Educational Psychology, 2022
The present study aimed to investigate the test-retest reliability of the Wechsler Intelligence Scale for Children-Fourth edition (WISC-IV) in a sample of 138 children with autism spectrum disorder (ASD) from a child psychiatric clinic in Tokyo, Japan. The stability coefficient of the Full Scale Intelligence Quotient (FSIQ), which is composed of…
Descriptors: Children, Intelligence Tests, Autism Spectrum Disorders, Test Reliability
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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
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Karabulut, Ridvan; Ömeroglu, Esra – International Journal of Curriculum and Instruction, 2021
The study aimed to develop a measure that enables gifted children to be picked out in early childhood through the nomination of teachers. In order to collect the data, a conceptual framework based on Gardner's theory of multiple intelligences was set to identify gifted children. Once the conceptual framework was created, a 64-item framework…
Descriptors: Test Validity, Test Reliability, Test Construction, Gifted
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