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Tracey A. Regenold; Sheila E. Murphy; Philip A. Reed – TechTrends: Linking Research and Practice to Improve Learning, 2025
A design-based research study on the development of one-page tools to support systemic thinking in public managers is presented. Study participants included public managers of social and human service agencies within government or nonprofit organizations, as learners for whom the tools were designed; and instructional design professionals,…
Descriptors: Systems Approach, Thinking Skills, Public Administration, Social Services
Nasrin Dehbozorgi; Mourya Teja Kunuku – IEEE Transactions on Education, 2024
Contribution: An AI model for speech emotion recognition (SER) in the educational domain to analyze the correlation between students' emotions, discussed topics in teams, and academic performance. Background: Research suggests that positive emotions are associated with better academic performance. On the other hand, negative emotions have a…
Descriptors: Interaction, Academic Achievement, Artificial Intelligence, Psychological Patterns
Ruoxuan Li; Lijuan Wang – Grantee Submission, 2024
Causal-formative indicators are often used in social science research. To achieve identification in causal-formative indicator modeling, constraints need to be applied. A conventional method is to constrain the weight of a formative indicator to be 1. The selection of which indicator to have the fixed weight, however, may influence statistical…
Descriptors: Social Science Research, Causal Models, Formative Evaluation, Measurement
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
Becky Tugman; Lauren E. Stephens; Taimi Olsen; Alfred E. Bundrick – To Improve the Academy, 2025
Peer observation of teaching (PoT) is a recognized evaluation tool. However, faculty concerns persist regarding bias, beneficial feedback, and lack of peer observer training. While faculty desire to provide quality and equitable reviews, many higher education faculty peers have little expertise in conducting observations and evaluations. This…
Descriptors: Peer Evaluation, Faculty Development, Formative Evaluation, Summative Evaluation
Chung Kwan Lo; Fletcher Ng; Ka Luen Cheung – Smart Learning Environments, 2024
In the post-pandemic world, UNESCO advocates the development of open educational resources (OER) to remedy the financial pressures of students and their families. We thus conducted a dual-cycle action research study aiming to develop a sustainable model with minimal cost for creating OER for secondary school mathematics teachers and students. Our…
Descriptors: Open Educational Resources, Formative Evaluation, Sustainable Development, Preservice Teachers
Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Annalisa Cusi; Francesca Morselli – ZDM: Mathematics Education, 2024
We study the experts' practices developed with the support of digital technologies (DT), when they take aware in-the-moment decisions during classroom discussions to promote the development of effective formative assessment (FA) processes. In this investigation, we complement a macro-analysis of paradigmatic examples of classroom activities,…
Descriptors: Specialists, Formative Evaluation, Mathematics Instruction, Information Technology
The Choice between Cognitive Diagnosis and Item Response Theory: A Case Study from Medical Education
Youn Seon Lim; Catherine Bangeranye – International Journal of Testing, 2024
Feedback is a powerful instructional tool for motivating learning. But effective feedback, requires that instructors have accurate information about their students' current knowledge status and their learning progress. In modern educational measurement, two major theoretical perspectives on student ability and proficiency can be distinguished.…
Descriptors: Cognitive Measurement, Diagnostic Tests, Item Response Theory, Case Studies
Michelle Vaughan; Samantha N. Uribe – Assessment & Evaluation in Higher Education, 2024
Distance education has increased steadily since the onset of COVID-19. As online offerings become a staple in programs of study, rather than the exception, it is important to consider how instructors design their courses to incorporate feedback as well as how they promote active student involvement in feedback processes. In this paper, the authors…
Descriptors: Feedback (Response), Multiple Literacies, Formative Evaluation, Student Evaluation
Amy Adair – ProQuest LLC, 2024
Developing models, using mathematics, and constructing explanations are three practices essential for science inquiry learning according to education reform efforts, such as the Next Generation Science Standards (NGSS Lead States, 2013). However, students struggle with these intersecting practices, especially when developing and interpreting…
Descriptors: Artificial Intelligence, Evaluation Methods, Scaffolding (Teaching Technique), Mathematics
Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
Abby Mcguire; Warda Qureshi; Mariam Saad – International Journal of Technology in Education, 2024
Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging…
Descriptors: Constructivism (Learning), Models, Artificial Intelligence, Individualized Instruction
Candace A. Mulcahy; Joseph C. Gagnon; V. Sue Atkinson; Jason A. Miller – TEACHING Exceptional Children, 2024
In the era of 21st century learning, many secondary students with learning disabilities continue to struggle with mathematics problem solving. Emerging evidence suggests self-regulated strategy development can be combined with existing evidence-based and promising practices during mathematics instruction. These practices include explicit…
Descriptors: Self Management, Algebra, Problem Solving, Secondary School Students