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Selcuk Acar; Denis Dumas; Peter Organisciak; Kelly Berthiaume – Grantee Submission, 2024
Creativity is highly valued in both education and the workforce, but assessing and developing creativity can be difficult without psychometrically robust and affordable tools. The open-ended nature of creativity assessments has made them difficult to score, expensive, often imprecise, and therefore impractical for school- or district-wide use. To…
Descriptors: Thinking Skills, Elementary School Students, Artificial Intelligence, Measurement Techniques
En Xie; Shaw-chiang Wong; Ying Bai – Journal of Autism and Developmental Disorders, 2024
Psychology originally defined parent-child conflict in terms of interpersonal relationships, where parent-child conflict is a process of inconsistent attitudes between parents and children that occurs in a family setting. For this end, we aims to investigate the influence of parental awareness on preschoolers' perception of parent-child conflict…
Descriptors: Computer Software, Computer Simulation, Parent Child Relationship, Cooperation
Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
Tenko Raykov; George Marcoulides; Randall Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
An application of Bayesian factor analysis for evaluation of scale reliability is discussed, which is developed within the framework of latent variable modeling. The method permits direct point and interval estimation of the reliability coefficient of multiple-component measuring instruments using Bayesian inference. The approach allows also point…
Descriptors: Reliability, Bayesian Statistics, Measurement Techniques, Computer Software
Tenko Raykov; George Marcoulides; James Anthony; Natalja Menold – Measurement: Interdisciplinary Research and Perspectives, 2024
A Bayesian statistics-based approach is discussed that can be used for direct evaluation of the popular Cronbach's coefficient alpha as an internal consistency index for multiple-component measuring instruments, as well as for testing its identity to scale reliability. The method represents an application of confirmatory factor analysis within the…
Descriptors: Reliability, Factor Analysis, Bayesian Statistics, Measurement Techniques
Kelvin T. Afolabi; Timothy R. Konold – Practical Assessment, Research & Evaluation, 2024
Exploratory structural equation (ESEM) has received increased attention in the methodological literature as a promising tool for evaluating latent variable measurement models. It overcomes many of the limitations attached to exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), while capitalizing on the benefits of each. Given…
Descriptors: Measurement Techniques, Factor Analysis, Structural Equation Models, Comparative Analysis
Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
Ragazou, Vasiliki; Karasavvidis, Ilias – Interactive Technology and Smart Education, 2023
Purpose: Software training is a new trend in software applications. A key problem with software training is that video tutorials are developed without considering the target audience. Although video tutorials are popular, little attention is given to their design features. This study aims to investigate how two multimedia research principles,…
Descriptors: Visual Aids, Cues, Task Analysis, Video Technology
Mohamad Ahmad Saleem Khasawneh; Sayed M. Ismail; Negash Hussen – Language Testing in Asia, 2024
Artificial intelligence (AI) transforms the educational landscape by radically changing how lessons are taught and students are evaluated. In light of these facts, it is critical to consider learners' emotional and mental wellness as the building blocks of education. Given these facts, it is imperative to consider learners' emotional and mental…
Descriptors: Artificial Intelligence, Computer Software, Personal Autonomy, Mental Health
Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Yimin Ning; Wenjun Zhang; Dengming Yao; Bowen Fang; Binyan Xu; Tommy Tanu Wijaya – Education and Information Technologies, 2025
The integration of AI in education highlights the significance of Teachers' AI Literacy (TAIL). Existing assessment tools, however, are hindered by incomplete indicators and a lack of practicality for large-scale application, necessitating a more systematic and credible evaluation method. This study is based on a systematic literature review and…
Descriptors: Artificial Intelligence, Rating Scales, Technological Literacy, Factor Analysis
Teck Kiang Tan – Practical Assessment, Research & Evaluation, 2024
The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…
Descriptors: Bayesian Statistics, Factor Analysis, Programming Languages, Reliability
Makruf, Imam; Rifa'i, Andi Arif; Triana, Yunika – International Journal of Instruction, 2022
The COVID-19 pandemic gives a big impact on various aspects of human life, including higher education institutions. Institut Agama Islam Negeri (State Institute for Islamic Studies) Surakarta (IAIN Surakarta) as one of the Islamic higher education institutions in Indonesia has developed online learning management using Moodle platform. This study…
Descriptors: Higher Education, Integrated Learning Systems, Online Courses, Islam
Jehanzeb Rashid Cheema – Journal of Education in Muslim Societies, 2024
This study explores the relationship between the Spiral Dynamics and the 3H (head, heart, hands) models of human growth and development, using constructs such as empathy, moral reasoning, forgiveness, and community mindedness that have been shown to have implications for education. The specific research question is, "Can a combination of…
Descriptors: Correlation, Factor Analysis, Computer Software, Moral Values

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