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Ahmet Berk Ustun; Fatma Gizem Karaoglan-Yilmaz; Ramazan Yilmaz; Mehmet Ceylan; Orhan Uzun – Education and Information Technologies, 2024
The primary aim of the study is to develop an augmented reality (AR) acceptance scale within the framework of the unified theory of acceptance and use of technology (UTAUT) model to measure individuals' acceptance and use of AR technology. The study was performed with a total of 546 university students with three participant groups in the…
Descriptors: Test Construction, Computer Simulation, College Students, Test Reliability
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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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Sixuan Xiang; Jenny Wanyi Li; Weipeng Yang – Education and Information Technologies, 2025
This study aims to develop and validate an age-appropriate, easily manipulated, and robot-based assessment named Computational Thinking Observational Scale (CTOS) for 3- to 5-year-olds. The study sample included 46 preschoolers (M[subscript age] = 3.57 years, SD = 0.36). Expert judgment confirmed excellent content validity, yielding a Scale-level…
Descriptors: Test Construction, Robotics, Computation, Thinking Skills
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Zhang Yuting; Ma Weiwei; Xiao Min; Li Zhipeng – Education and Information Technologies, 2025
The rapid advancement of educational technologies worldwide and the ubiquitousness of technology-integrated teaching and learning have posed great challenges to teachers. Technology leadership is an emerging focus among educators, it involves using technologies to lead learners' knowledge, abilities, and values development. However, there are few…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Teacher Responsibility
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Aditya Shah; Ajay Devmane; Mehul Ranka; Prathamesh Churi – Education and Information Technologies, 2024
Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…
Descriptors: Computer Assisted Testing, Difficulty Level, Grading, Test Construction
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Rongxiu Wu; Susan Sunbury; Philip Sadler; Gerhard Sonnert – Education and Information Technologies, 2024
Student identity measures in Science, Technology, Engineering, and Mathematics (STEM) fields are a strong predictor of future persistence in those disciplines. However, there is a paucity of studies with validated measures of students' computer science (CS) identity. The aim of the present study was to assess the reliability and validity of a…
Descriptors: Test Reliability, Test Validity, Computer Science Education, Self Concept
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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
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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
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Rohani Rohan; Wichian Chutimaskul; Rita Roy; Jari Hautamäki; Suree Funilkul; Debajyoti Pal – Education and Information Technologies, 2025
The field of information security is experiencing growing popularity within Higher Education Institutions (HEIs), reflecting the increasing recognition of its importance in safeguarding sensitive data, and mitigating cyber risks. This shift highlights the critical need for effective security practices within educational environments, where data…
Descriptors: Test Construction, Information Security, Stakeholders, Higher Education
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Esra Sözer Boz – Education and Information Technologies, 2025
International large-scale assessments provide cross-national data on students' cognitive and non-cognitive characteristics. A critical methodological issue that often arises in comparing data from cross-national studies is ensuring measurement invariance, indicating that the construct under investigation is the same across the compared groups.…
Descriptors: Achievement Tests, International Assessment, Foreign Countries, Secondary School Students
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Öztürk, Gülcan; Sahin Saritas, Feyza – Education and Information Technologies, 2023
Children inevitably start using smart devices from the first year of their lives. Parents should have knowledge and awareness of the conscious use of applications on smart devices. For this reason, a scale to measure parents' knowledge and awareness of the conscious use of applications on smart devices has become necessary. Due to this necessity,…
Descriptors: Computer Use, Parent Role, Knowledge Level, Test Construction
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Mattar, João; Ramos, Daniela Karine; Lucas, Margarida Rocha – Education and Information Technologies, 2022
The purpose of this article is to compare digital competence assessment instruments based on DigComp related frameworks. The study aims to answer four questions: (a) What types of instruments based on these frameworks are available? (b) How were these instruments created from these frameworks? (c) What procedures were used to guarantee the…
Descriptors: Evaluation Methods, Literature Reviews, Test Construction, Competence
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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
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Hsiao, Kuo-Lun; Ku, Ya-Yuan; Lee, Ya-Ting – Education and Information Technologies, 2023
New media literacy is an expected competency for university students. However, few literacy scales can evaluate students' fake news reporting and checking abilities. In the past, the new media literacy framework only included Critical Consuming, Critical Prosumption, Functional Prosumption, and Functional Consuming. Therefore, this study proposes…
Descriptors: Test Construction, Media Literacy, Test Validity, Test Items
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Harald A. Mieg; Katrin E. Klieme; Emma Barker; Jane Bryan; Caroline Gibson; Susanne Haberstroh; Femi Odebiyi; Frano P. Rismondo; Brigitte Römmer-Nossek; Janina Thiem; Erika Unterpertinger – Education and Information Technologies, 2024
This article presents a ten-item short scale for measuring digital competence. The scale is based on the Digital Competence Framework for Citizens, DigComp2.1 (Carretero et al., 2017). For our surveys, we used five items from the DigCompSat study (Clifford et al., 2020) and created five new ones to address the competence areas defined by…
Descriptors: Digital Literacy, Competence, Student Evaluation, Undergraduate Students
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