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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
Sahin Gokcearslan; Hatice Yildiz Durak; Mustafa Serkan Gunbatar; Nilufer Atman Uslu; Aysun Nuket Elci – International Journal of Technology in Education, 2025
GenAI's advanced natural language processing capabilities will revolutionize numerous areas, ranging from a paradigm shift in education to the economy. Along with the positive aspects of GenAI, ethical and social risks are also one of the negative aspects that attract attention in the literature. The purpose of this study is to test the role of…
Descriptors: Artificial Intelligence, College Students, Knowledge Level, Student Attitudes
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
Izida I. Ishmuradova; Sergei P. Zhdanov; Sergey V. Kondrashev; Natalya S. Erokhova; Elena E. Grishnova; Nonna Yu. Volosova – Contemporary Educational Technology, 2025
The development of generative artificial intelligence (AI) has started a conversation on its possible uses and inherent difficulties in the field of education. It becomes essential to understand the perceptions of pre-service teachers about the integration of this technology into teaching practices as AI models including ChatGPT, Claude, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Preservice Teachers, Science Teachers
Kardas, Abdurrahman; Yildirim, Bilal – Educational Process: International Journal, 2022
Background/purpose: In addition to many competencies of school administrators, the level of intellectuality can increase the commitment of educational actors to the organization in schools with sociocultural diversity, which is considered as a wealth of Turkey. Considering the sociocultural developments of the present day, it is important to know…
Descriptors: Intelligence Tests, Administrators, Test Validity, Test Reliability
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
José Ventura-León; Cristopher Lino-Cruz; Shirley Tocto-Muñoz; Andy Rick Sánchez-Villena – Journal of Psychoeducational Assessment, 2025
Academic and occupational success requires social intelligence, the ability to comprehend, and manage interpersonal connections. This research aims to assess and improve the Tromsø Social Intelligence Scale (TSIS) for Peruvian university students, focusing on cultural adaptability, reliability, and validity. Participants included 973 university…
Descriptors: Factor Analysis, Intelligence Tests, Test Items, Test Length
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
Karen D. Stoj – ProQuest LLC, 2023
This study created and validated the Early Language Leadership Attitude instrument in order to understand elementary principals' attitudes towards early start language programs in the state of Connecticut. The Early Language Leadership Attitude instrument assesses attitudes towards early start language programming with 8 items. The 5-point Likert…
Descriptors: Test Construction, Test Validity, Likert Scales, Cultural Awareness
Shuqiong Luo; Di Zou – European Journal of Education, 2025
Recent AI-based language learning research highlights learners' crucial role, yet university learner readiness in ChatGPT-based English learning remains unexplored. Accordingly, this current research attempted to develop and validate a tool to evaluate university learner readiness for ChatGPT-assisted English learning (LRCEL) to address the…
Descriptors: College Students, Readiness, Artificial Intelligence, Natural Language Processing
Furlong, Michael J.; Dowdy, Erin; Nylund-Gibson, Karen; Wagle, Rhea; Carter, Delwin; Hinton, Tameisha – Grantee Submission, 2021
Robust evidence links students' positive mental health with academic achievement and provides a compelling rationale for developing and refining strength-based assessments. The Social Emotional Health Survey--Secondary (SEHS-S) assesses adolescents' social and emotional skills and positive psychological dispositions. Previous studies provide…
Descriptors: Interpersonal Competence, Emotional Intelligence, Personality, Adolescents
Lottero-Perdue, Pamela S.; Lachapelle, Cathy P. – International Journal of Education in Mathematics, Science and Technology, 2019
The aim of this study was to assess evidence for the validity of General Mindset (GM) and Engineering Mindset (EM) surveys that we developed for fifth-grade students (ages 10-11). In both surveys, we used six items to measure student mindset to determine if it was more fixed (presuming intelligence is fixed and failure is a sign that one is not…
Descriptors: Elementary School Students, Grade 5, Student Attitudes, Intelligence
Ortega-Barón, J.; Machimbarrena, J. M.; Montiel, I.; Buelga, S.; Basterra-González, A.; González-Cabrera, J. – Journal of Early Adolescence, 2021
For the Z-Generation, the Internet has become a very important experimentation laboratory for the discovery and validation of their identity. Despite the importance of the process of building the self in the adolescent, there are hardly any validated instruments that measure the self online. The aim of this research was to design and validate the…
Descriptors: Early Adolescents, Test Construction, Test Validity, Self Concept Measures
Küçük, Duygu Piji – Educational Research and Reviews, 2020
The purpose of this study is to develop a valid and reliable scale to measure the team perception levels of choir members. In the first step, a draft scale comprising 54-items was administered to 332 choir members. With the KMO (Kaiser-Meyer-Olkin) test for sampling adequacy, KMO value was found to be 0.936. Factor analysis on the scale items…
Descriptors: Test Construction, Attitude Measures, Singing, Test Reliability
Kilgus, Stephen P.; Bonifay, Wes E.; Eklund, Katie; von der Embse, Nathaniel P.; Peet, Casie; Izumi, Jared; Shim, Hyejin; Meyer, Lauren N. – Grantee Submission, 2020
The purpose of this study was to support the development and initial validation of the Intervention Selection Profile (ISP)-Skills, a brief 14-item teacher rating scale intended to inform the selection and delivery of instructional interventions at Tier 2. Teacher participants (n = 196) rated five students from their classroom across four measures…
Descriptors: Test Construction, Test Validity, Intervention, Rating Scales

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