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Tenko Raykov; Christine DiStefano; Lisa Calvocoressi – Educational and Psychological Measurement, 2024
This note demonstrates that the widely used Bayesian Information Criterion (BIC) need not be generally viewed as a routinely dependable index for model selection when the bifactor and second-order factor models are examined as rival means for data description and explanation. To this end, we use an empirically relevant setting with…
Descriptors: Bayesian Statistics, Models, Decision Making, Comparative Analysis
Jang, Yoona; Hong, Sehee – Educational and Psychological Measurement, 2023
The purpose of this study was to evaluate the degree of classification quality in the basic latent class model when covariates are either included or are not included in the model. To accomplish this task, Monte Carlo simulations were conducted in which the results of models with and without a covariate were compared. Based on these simulations,…
Descriptors: Classification, Models, Prediction, Sample Size
Sosa, Ricardo; van Dijck, Max – Creativity Research Journal, 2022
The distinction between "Big-C" and "little-c" creativity implies that the generative process of celebrated creators is of a special type or degree. Arguments for and against such a hierarchy of creativity are found in the literature, primarily built on rhetorical argumentation. The aim of this work is to examine the rationale…
Descriptors: Creativity, Computer Simulation, Models, Social Systems
Tondeur, Jo; Petko, Dominik; Christensen, Rhonda; Drossel, Kerstin; Starkey, Louise; Knezek, Gerald; Schmidt-Crawford, Denise A. – Educational Technology Research and Development, 2021
In order to effectively use technology in education, appropriate conceptual understandings are needed to guide the integration process. Today, there is a wide range of conceptual models that are developed and used in research and/or practice focusing on educational technology integration. Conceptual models are of relevance as they can bridge…
Descriptors: Teaching Methods, Technology Integration, Educational Technology, Theory Practice Relationship
van Blankenstein, Floris M.; Tru?escu, Gabriela-Olivia; van der Rijst, Roeland M.; Saab, Nadira – Instructional Science: An International Journal of the Learning Sciences, 2019
The learning benefits of peer assessment and providing peer feedback have been widely reported. However, it is still not understood which learning activities most facilitate the acquisition of feedback skills. This study aimed to compare the effect of a modeling example, i.e., a model that demonstrated how to give feedback, on the acquisition of…
Descriptors: Models, Feedback (Response), Peer Evaluation, Comparative Analysis
Zhang, Chuankai; Huang, Yanzun; Wang, Jingyu; Lu, Dongyang; Fang, Weiqi; Stamper, John; Fancsali, Stephen; Holstein, Kenneth; Aleven, Vincent – Grantee Submission, 2019
"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…
Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria
Merkle, E. C.; Furr, D.; Rabe-Hesketh, S. – Grantee Submission, 2019
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Software, Models
Zhang, Chuankai; Huang, Yanzun; Wang, Jingyu; Lu, Dongyang; Fang, Weiqi; Stamper, John; Fancsali, Stephen; Holstein, Kenneth; Aleven, Vincent – International Educational Data Mining Society, 2019
"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…
Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria
Jönsson, Anders; Balan, Andreia – Practical Assessment, Research & Evaluation, 2018
Research on teachers' grading has shown that there is great variability among teachers regarding both the process and product of grading, resulting in low comparability and issues of inequality when using grades for selection purposes. Despite this situation, not much is known about the merits or disadvantages of different models for grading. In…
Descriptors: Grading, Models, Reliability, Validity
Huffman, Tanner J.; Mentzer, Nathan – International Journal of Technology and Design Education, 2021
Modeling allows students to become more effective designers. High school technology and engineering students engage in engineering design challenges as part of traditional instructional practices. Model-eliciting activities (MEA) present students with opportunities to elicit mathematical thinking that facilitates modeling. Students (n = 266) from…
Descriptors: Design, High School Students, Comparative Analysis, Scoring Rubrics
Grace Hui Chin Lin – Online Submission, 2024
The primary goal of this project is to assess the students' better communication attainment after applying a series of five interactive strategies to an experiment group of subjects. This class will be compared with a control group of other participants, and in their class, the interactive approaches are not emphasized and practiced openly. The…
Descriptors: Language Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
Afsharrad, Mohammad; Pishghadam, Reza; Baghaei, Purya – International Journal of Language Testing, 2023
Testing organizations are faced with increasing demand to provide subscores in addition to the total test score. However, psychometricians argue that most subscores do not have added value to be worth reporting. To have added value, subscores need to meet a number of criteria: they should be reliable, distinctive, and distinct from each other and…
Descriptors: Comparative Analysis, Scores, Value Added Models, Psychometrics
Ahi, Sibel – International Journal of Educational Administration and Policy Studies, 2018
The purpose of this qualitative study is to understand how operating models and organizational structure impact the effectiveness of higher education institutions for students, faculty, administrators and the broader community. In this case study, the researcher uses the Malcolm Baldrige National Quality Award Criteria (MBNQAC) to understand core…
Descriptors: Business, Higher Education, Strategic Planning, Knowledge Management
Kusumastuti, Dyah; Idrus, Nirwan – Quality in Higher Education, 2017
This paper reviews the recently introduced National Higher Education ranking system in Indonesia in order to evaluate its potential as a sustainable model to improve the quality of higher education in the country. It is a scaffold towards an established world-universities ranking system that may prove formidable for a developing country. This…
Descriptors: Educational Quality, Reputation, Evaluation Criteria, Developing Nations
Mustafa, Hassan M. H.; Tourkia, Fadhel Ben; Ramadan, Ramadan Mohamed – Journal of Education and e-Learning Research, 2017
The objective of this piece of research is to interpret and investigate systematically an observed brain functional phenomenon which is associated with proceeding of e-learning processes. More specifically, this work addresses an interesting and challenging educational issue concerned with dynamical evaluation of elearning performance considering…
Descriptors: Electronic Learning, Reaction Time, Brain Hemisphere Functions, Learning Processes