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Dizon, Arnie G. – History of Education, 2023
CIPP, which stands for Context, Input, Process and Product, an evaluation model, is one of the most widely applied curriculum evaluation models in education. This document-based study sought to determine the historical development of CIPP as a curriculum evaluation model. Here, the reasons why the CIPP evaluation model was conceptualised are…
Descriptors: Educational History, Curriculum Evaluation, Models, Curriculum Development
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
Doewes, Afrizal; Saxena, Akrati; Pei, Yulong; Pechenizkiy, Mykola – International Educational Data Mining Society, 2022
In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…
Descriptors: Scoring, Essays, Writing Evaluation, Comparative Analysis
Jiaying Xiao; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Accurate item parameters and standard errors (SEs) are crucial for many multidimensional item response theory (MIRT) applications. A recent study proposed the Gaussian Variational Expectation Maximization (GVEM) algorithm to improve computational efficiency and estimation accuracy (Cho et al., 2021). However, the SE estimation procedure has yet to…
Descriptors: Error of Measurement, Models, Evaluation Methods, Item Analysis
Hussain, Zawar; Cheema, Salman Arif; Hussain, Ishtiaq – Sociological Methods & Research, 2022
This article is about making correction in Tarray, Singh, and Zaizai model and further improving it when stratified random sampling is necessary. This is done by using optional randomized response technique in stratified sampling using a combination of Mangat and Singh, Mangat, and Greenberg et al. models. The suggested model has been studied…
Descriptors: Comparative Analysis, Models, Surveys, Questionnaires
Park, Yeonggwang; Anand, Supraja; Ozmeral, Erol J.; Shrivastav, Rahul; Eddins, David A. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Vocal roughness is often present in many voice disorders but the assessment of roughness mainly depends on the subjective auditory-perceptual evaluation and lacks acoustic correlates. This study aimed to apply the concept of roughness in general sound quality perception to vocal roughness assessment and to characterize the relationship…
Descriptors: Voice Disorders, Evaluation Methods, Auditory Perception, Acoustics
Joakim Wallmark; James O. Ramsay; Juan Li; Marie Wiberg – Journal of Educational and Behavioral Statistics, 2024
Item response theory (IRT) models the relationship between the possible scores on a test item against a test taker's attainment of the latent trait that the item is intended to measure. In this study, we compare two models for tests with polytomously scored items: the optimal scoring (OS) model, a nonparametric IRT model based on the principles of…
Descriptors: Item Response Theory, Test Items, Models, Scoring
Saher, Al-Sabbah; Ali, Al Momani Jehad; Amani, Darwish; Najwan, Fares – Pegem Journal of Education and Instruction, 2022
This study aimed to explore the effect of authentic and traditional assessment on students' performance in the field of health and educational sciences. Both qualitative and quantitative research designs were used in this study. Study used A questionnaire containing 20 items: 10 items represented traditional assessment and the other 10 represented…
Descriptors: Performance Based Assessment, Student Evaluation, Evaluation Methods, Graduate Students
Parkkinen, Veli-Pekka; Baumgartner, Michael – Sociological Methods & Research, 2023
In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal…
Descriptors: Robustness (Statistics), Comparative Analysis, Causal Models, Models
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
Fabian Wolff; Markus Dresel; Martin Daumiller – Higher Education: The International Journal of Higher Education Research, 2024
Dimensional comparisons--i.e., comparisons between achievements in different domains--have to date been examined particularly between students' achievements in different school subjects. Numerous studies have documented that dimensional comparisons between mathematical and verbal achievements significantly affect students' mathematical and verbal…
Descriptors: Self Concept, College Faculty, Universities, Foreign Countries
Dadi Ramesh; Suresh Kumar Sanampudi – European Journal of Education, 2024
Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…
Descriptors: Scoring, Essays, Writing Evaluation, Memory
Orr, J. Walker; Russell, Nathaniel – International Educational Data Mining Society, 2021
The assessment of program functionality can generally be accomplished with straight-forward unit tests. However, assessing the design quality of a program is a much more difficult and nuanced problem. Design quality is an important consideration since it affects the readability and maintainability of programs. Assessing design quality and giving…
Descriptors: Programming Languages, Feedback (Response), Units of Study, Computer Science Education
Deng, Lijun – Higher Education Studies, 2020
Based on the preliminary research findings in the project-based flipped learning model in Business English Translation course, this study designed a process-oriented assessment model for this course and tested its efficacy by an empirical study on 181 third-year English major students divided into three experimental class and three control class…
Descriptors: Business English, Flipped Classroom, Student Projects, Translation