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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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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
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Jia Lu; Xiaodan Wang; Xiaohui Chen; Xin Wang; Xundiao Ma; Hanxi Wang – Education and Information Technologies, 2025
Socially regulated learning (SoRL) is a critical mechanism for enhancing the effectiveness of collaborative learning outcomes. Measurement of university students' engagement in SoRL is essential for refining the strategies aimed at improving its efficacy. Nonetheless, the measurement of university students' levels of engagement in SoRL remains…
Descriptors: Foreign Countries, College Students, Cooperative Learning, Electronic Learning
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Hartley, Kendall; Bendixen, Lisa D.; Olafson, Lori; Gianoutsos, Dan; Shreve, Emily – Education and Information Technologies, 2020
Smartphone use in learning environments can be productive or distracting depending upon the type of use. The use is also impacted by the learner's view and understanding of the smartphone and self-regulated learning skills. Measures are needed to specify uses and learner understandings to address the implications for teaching and learning. This…
Descriptors: Handheld Devices, Telecommunications, Measures (Individuals), Test Construction
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Albelbisi, Nour Awni – Education and Information Technologies, 2020
The objective of this study is to develop and validate the MOOC Success Scale (MOOC-SS) in the Malaysian context. Further, this study ascertains the influence of MOOC success factors on learner satisfaction. Based on an elaborate literature study, six factors related to MOOC success were derived: (1) system quality, (2) information quality, (3)…
Descriptors: Foreign Countries, Online Courses, Success, Measures (Individuals)
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Dönmez, Onur; Akbulut, Yavuz; Telli, Esra; Kaptan, Miray; Özdemir, Ibrahim H.; Erdem, Mukaddes – Education and Information Technologies, 2022
In the current study, we aimed to develop a reliable and valid scale to address individual cognitive load types. Existing scale development studies involved limited number of items without adequate convergent, discriminant and criterion validity checks. Through a multistep correlational study, we proposed a three-factor scale with 13 items to…
Descriptors: Test Construction, Content Validity, Construct Validity, Test Reliability
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Firat, Mehmet; Yurdakul, Isil Kabakci – Education and Information Technologies, 2016
The present study aimed at developing a scale to evaluate navigational performance as a whole, which is one of the factors influencing learning in hyper media. In line with this purpose, depending on the related literature, an item pool of 15 factors was prepared, and these variables were decreased to 5 based on the views of 38 field experts. In…
Descriptors: Hypermedia, Navigation (Information Systems), Measures (Individuals), Factor Structure