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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
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
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
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
Tiffany Wu; Christina Weiland; Meghan McCormick; JoAnn Hsueh; Catherine Snow; Jason Sachs – Grantee Submission, 2024
The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the…
Descriptors: Scoring, Executive Function, Kindergarten, Young Children
Luis Rojas-Torres; Luis A. Furlan; Vanessa Smith-Castro; Guaner Rojas-Rojas – Oxford Review of Education, 2024
It is widely known that test anxiety (TA) is associated with a decrease in test scores. The objective of this study is to provide evidence of the existence of two paths through which TA affects test scores: an indirect path that is associated with the mediation of the updating efficiency and a direct path moderated by the putting into perspective…
Descriptors: Test Anxiety, Coping, Scores, Correlation
Songül Özgenel; I?sa Kaya – International Journal of Psychology and Educational Studies, 2024
The aim of the study is to develop a Likert-type scale to determine the play preferences of children attending pre-school education. The research was designed and carried out according to the survey research model. Data collected from 3 different study groups were used in the scale development process. The study groups consist of parents of…
Descriptors: Foreign Countries, Preschool Children, Preschool Education, Play
Joanne Koh – Foreign Language Annals, 2024
Reading-while-listening (RWL) has been suggested to facilitate reading comprehension by establishing letter-to-sound correspondences in the word recognition process. However, previous findings are inconsistent regarding the effect of RWL on foreign language (L2) reading comprehension. To understand why such inconsistency occurs, the moderating…
Descriptors: Second Language Learning, Reading Comprehension, Listening Skills, Orthographic Symbols
Davy Tsz Kit Ng; Wenjie Wu; Jac Ka Lok Leung; Thomas Kin Fung Chiu; Samuel Kai Wah Chu – British Journal of Educational Technology, 2024
Artificial intelligence (AI) literacy is at the top of the agenda for education today in developing learners' AI knowledge, skills, attitudes and values in the 21st century. However, there are few validated research instruments for educators to examine how secondary students develop and perceive their learning outcomes. After reviewing the…
Descriptors: Artificial Intelligence, Questionnaires, Test Construction, Test Validity
Fatma Ünal; Hakan Kogar – International Journal of Assessment Tools in Education, 2024
The purpose of this study is to examine the effect of missing data imputation methods, namely regression imputation (RI), multiple imputation (MI) and k-nearest neighbor (kNN) on differential item functioning (DIF). In this regard, the datasets used in the research were created by deleting some of the data via the missing completely at random…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
Matthew J. Madison; Stefanie Wind; Lientje Maas; Kazuhiro Yamaguchi; Sergio Haab – Grantee Submission, 2024
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
Matthew J. Madison; Stefanie A. Wind; Lientje Maas; Kazuhiro Yamaguchi; Sergio Haab – Journal of Educational Measurement, 2024
Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…
Descriptors: Diagnostic Tests, Classification, Models, Psychometrics
Xiaoyu Song; Minjie Ma; Xue Ma; Ke Zhao; Long Gao; Tingzhao Wang – Journal of Intellectual Disabilities, 2024
The purpose is to test the applicability of the Positive and Negative Affect Scale (PANAS) to Chinese children with intellectual disabilities. The study was done by distributing the questionnaire to the parents through teachers online. Asked the parents to fill out the scale based on their observations of their children's daily life. The…
Descriptors: Affective Measures, Foreign Countries, Intellectual Disability, Test Reliability
Panayiotis Panayides; Elena C. Papanastasiou; Katerina Georgiou; Maria Karekla – European Journal of Education, 2024
This study is an investigation of the validity of the Online Test Anxiety Inventory (O?-TAI) for adult students. The scale contained the 20 items of the Test Anxiety Inventory (Spielberger, 1980), together with five computer anxiety items, all rephrased so as to pertain to online test anxiety. The scale was administered to a large sample of Greek…
Descriptors: Test Validity, Computer Assisted Testing, Test Anxiety, Measures (Individuals)

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