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Gerhard Tutz; Pascal Jordan – Journal of Educational and Behavioral Statistics, 2024
A general framework of latent trait item response models for continuous responses is given. In contrast to classical test theory (CTT) models, which traditionally distinguish between true scores and error scores, the responses are clearly linked to latent traits. It is shown that CTT models can be derived as special cases, but the model class is…
Descriptors: Item Response Theory, Responses, Scores, Models
Sheng Bi; Zeyi Miao; Qizhi Min – IEEE Transactions on Learning Technologies, 2025
The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…
Descriptors: Grammar, Models, Questioning Techniques, Graphs
Salma Banu Nazeer Khan; Ayse Aysin Bilgin; Deborah Richards; Paul Formosa – Teaching Statistics: An International Journal for Teachers, 2024
Infographics are visual storytelling techniques used to communicate complex information. However, infographics can be misleading if they are not created ethically. When universities teach how to create infographics, they often do so without emphasizing the ethical issues underlying infographics. To address this gap, we designed a study to educate…
Descriptors: Ethics, Visual Aids, Statistics Education, Design
A. M. Sadek; Fahad Al-Muhlaki – Measurement: Interdisciplinary Research and Perspectives, 2024
In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo algorithm was applied to simulate the randomness of the input variables and evaluate the output distribution. It has been shown that under certain…
Descriptors: Monte Carlo Methods, Accuracy, Artificial Intelligence, Guidelines
Lamprianou, Iasonas – Sociological Methods & Research, 2023
This study investigates inter- and intracoder reliability, proposing a new approach based on social network analysis (SNA) and exponential random graph models (ERGM). During a recent exit poll, the responses of voters to two open-ended questions were recorded. A coding experiment was conducted where a group of coders coded a sample of text…
Descriptors: Interrater Reliability, Coding, Social Networks, Network Analysis
Radovic, Slaviša; Hummel, Hans G. K.; Vermeulen, Marjan – Teaching in Higher Education, 2023
The concept of lifelong learning is becoming increasingly important in contemporary educational research and development. Although the relationship between experience (practice) and knowledge (theory) is becoming an important aspect of the formal learning process, current instructional design models do not point to educational strategies that…
Descriptors: Instructional Design, Experiential Learning, Higher Education, Models
Leveraging the Health Equity Implementation Framework to Foster an Equity Focus in Medical Education
Deepa Ramadurai; Judy A. Shea – Advances in Health Sciences Education, 2024
Teaching equitable clinical practice is of critical importance, yet how best to do so remains unknown. Educators utilize implementation science frameworks to disseminate clinical evidence-based practices (EBP). The Health Equity Implementation Framework (HEIF) is one of these frameworks, and it delineates how health equity may be concomitantly…
Descriptors: Social Differences, Medical Education, Health Services, Guidelines
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
Khunaprom, Tantikorn; Chansirisira, Pacharawit – Journal of Education and Learning, 2023
This research aims to explore the components and indicators framework of the growth mindset for enhancing learning management and examines establish the alignment of the model and its indicators with empirical data for teachers in Primary schools. The study is divided into two steps; the first step involved the development of indicators for the…
Descriptors: Models, Faculty Development, Elementary School Teachers, Rating Scales
Meijuan Li; Hongyun Liu; Mengfei Cai; Jianlin Yuan – Education and Information Technologies, 2024
In the human-to-human Collaborative Problem Solving (CPS) test, students' problem-solving process reflects the interdependency among partners. The high interdependency in CPS makes it very sensitive to group composition. For example, the group outcome might be driven by a highly competent group member, so it does not reflect all the individual…
Descriptors: Problem Solving, Computer Assisted Testing, Cooperative Learning, Task Analysis
Kellen, David; McAdoo, Ryan M. – Cognitive Research: Principles and Implications, 2022
Sequential lineups are one of the most commonly used procedures in police departments across the USA. Although this procedure has been the target of much experimental research, there has been comparatively little work formally modeling it, especially the sequential nature of the judgments that it elicits. There are also important gaps in our…
Descriptors: Guidelines, Comparative Analysis, Police, Law Enforcement
Asaad Almssad; Amjad Almusaed; Ghaniyah Yasir Gbashi – International Society for Technology, Education, and Science, 2024
This article elucidates a nuanced methodology to embed the Sustainable Development Goals (SDGs) within engineering curricula, grounded in the tenets of the CDIO Standard 3 framework. Given the heightened emphasis on sustainability within contemporary industrial contexts, there is an imperative demand for engineers endowed with sophisticated…
Descriptors: Engineering Education, Sustainable Development, Objectives, Teaching Methods
Guo, Wenjing; Choi, Youn-Jeng – Educational and Psychological Measurement, 2023
Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…
Descriptors: Item Response Theory, Evaluation Methods, Factor Analysis, Guidelines
Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction