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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
Choi, Yoonhee; Chun, Jihye – Language Testing in Asia, 2022
This study reviews the French examination of the College Scholastic Ability Test (CSAT), the most influential and highest-stakes test in Korea. The CSAT score has considerable influence on university admissions, and admission to a highly ranked university is generally a prerequisite for socioeconomic success. From this perspective, the…
Descriptors: French, High Stakes Tests, Foreign Countries, Standardized Tests
Qian, Quan; Lau, Kit-ling; Chen, Pei – Journal of Psychoeducational Assessment, 2022
Based on the dichotomous classroom goal structure model and TARGET framework, this study developed and validated a new Dichotomous Classroom Goal Structure Questionnaire (DCGSQ). A total of 339 seventh-grade students in Beijing completed the two-phase survey in Study 1. Exploratory factor analysis and reliability analysis were used to assess the…
Descriptors: Questionnaires, Test Construction, Test Validity, Foreign Countries
Lucas, Margarida; Bem-haja, Pedro; Santos, Sandra; Figueiredo, Hugo; Ferreira Dias, Marta; Amorim, Marlene – British Journal of Educational Technology, 2022
Digital competence is among the basic key competences for digital learning and employability. For this reason, its acquisition and development should be on the agenda of higher education institutions (HEIs) who wish to prepare their students to thrive in an ever faster evolving digital labour market. However, the existence of a valid instrument…
Descriptors: College Students, Technological Literacy, Higher Education, Measures (Individuals)
Vucaj, Indrit – Journal of Research on Technology in Education, 2022
This study presents the methodological and procedural development process of the Digital Age Teaching Scale (DATS), a summative assessment tool designed to measure application of the ISTE Standards for Educators in K-12 classrooms. The theoretical framework of the ISTE Standards for Educators informed the development of DATS, and an 8-step process…
Descriptors: Elementary Secondary Education, Standards, Test Construction, Test Items
Negi, Tanuj; Jain, Shashi – Journal of Adult and Continuing Education, 2022
A common observation in Transformative Learning (TL) literature is the scarcity of ways to gauge the extent of personal transformation. This is despite a recorded history of more than four decades and the existence of multiple schools of thought in TL. Also, there has been insufficient exploration of the personal transformation of profession…
Descriptors: Transformative Learning, Beliefs, Foreign Countries, Career Change
Rogers, Paul M.; Marine, Jonathan M.; Ives, Samantha T.; Parsons, Seth A.; Horton, Ashlee; Young, Chase – Assessment in Education: Principles, Policy & Practice, 2022
This article reports on the implementation of a formative assessment tool (the Writing Engagement Scale, or WES) in grades 3-5 in schools in the United States. We used confirmatory factor analysis (CFA) to collect validity evidence for the WES for our population. Results demonstrated acceptable validity and reliability. In addition, survey results…
Descriptors: Formative Evaluation, Writing Instruction, Learner Engagement, Elementary School Students
Coetzee, Wilma – Perspectives in Education, 2022
A lack of understanding of statistics, and being unable to apply its techniques, not only has a negative impact on the pass rates of students studying introductory statistics, but also affects the potential usefulness of these students when they enter the marketplace. I report here a novel scale developed to measure various factors that may be…
Descriptors: Statistics Education, Introductory Courses, Questionnaires, At Risk Students
Merino, Laura; Martínez-Pampliega, Ana – International Journal of Social Research Methodology, 2022
The main aim of this study is to build a new observational coding system for sibling interactions (Sistema de Codificación de Interacciones entre Hermanos -- SCIH) and to analyze its psychometric properties and validity. First, this study offers the first Spanish adaptation of a self-report questionnaire to measure sibling relationships that…
Descriptors: Test Construction, Psychometrics, Observation, Coding
Homjan, Suchart; Sri-ngan, Krapan; Homjan, Wanida – Journal of Education and Learning, 2022
The objectives of this research were to construct and verify a mathematics diagnostic assessment on addition and subtraction basis for grade 4 students in Buriram Primary Educational Service Area Office 3. The research samples consisted of 440 Prathomsuksa 4 students selected by adapting the multi-stage random sampling method. The research…
Descriptors: Test Construction, Diagnostic Tests, Addition, Subtraction
Lee, Sangah; Zhong, Min; Foster, Cerrone; Segura-Totten, Miriam; McCartney, Melissa – Journal of Microbiology & Biology Education, 2022
Primary Scientific Literature (PSL) has been used in undergraduate classrooms as a way to engage students with the research process and to increase science literacy. Most curricula lack any formal training for undergraduates to critically read PSL even though most undergraduate science courses require students to engage with PSL at some level. In…
Descriptors: Reading Strategies, Measures (Individuals), Primary Sources, Scientific Research
Shannon Marie Winans – ProQuest LLC, 2022
Within the field of school psychology, the currently accepted structure of intelligence is the Cattell-Horn-Carroll Model (CHC). The CHC model contains three strata of abilities: a general ability (g), multiple broad cognitive abilities, and several narrow abilities (Schneider & McGrew, 2018), although the theoretical salience of the g factor…
Descriptors: School Psychology, Cognitive Tests, Cognitive Ability, Factor Structure
Andrea Fernández-Sánchez; Juan José Lorenzo-Castiñeiras; Ana Sánchez-Bello – European Journal of Education, 2025
The advent of artificial intelligence (AI) technologies heralds a transformative era in education. This study investigates the integration of AI tools in developing educational assessment rubrics within the 'Curriculum Design Development and Evaluation' course at the University of A Coruña during the 2023-2024 academic year. Employing an…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Integration
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests

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