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Mark, Melvin M. – American Journal of Evaluation, 2022
Premised on the idea that evaluators should be familiar with a range of approaches to program modifications, I review several existing approaches and then describe another, less well-recognized option. In this newer option, evaluators work with others to identify potentially needed adaptations for select program aspects "in advance." In…
Descriptors: Evaluation Research, Evaluation Problems, Evaluation Methods, Models
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Ratnay, Gede; Indriaswuri, Retno; Widayanthi, Desak Gede Chandra; Atmaja, I. Made Purwa Dana; Dalem, A. A. Gede Putra K. P. – Education Quarterly Reviews, 2022
The CIPP model has been widely used in the evaluation of vocational education. However, there has been no research that examines the suitability of CIPP in evaluating vocational education. Therefore, this study examined the suitability of CIPP in evaluating vocational education through a literature review. This research was a literature review…
Descriptors: Vocational Education, Models, Program Evaluation, Educational Assessment
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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
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Adeniji, Saidat Morenike; Baker, Penelope; Schmude, Martin – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The review followed the preferred reporting items for systematic review and meta-analysis (PRISMA) standard to search and report relevant articles on the use of SOLO model in mathematics. A systematic search was conducted in Education Source, ERIC, JSTOR, and PsycINFO databases and yielded 198 studies. After screening and appraisal, 62 papers (37…
Descriptors: Educational Research, Mathematics Education, Models, Outcomes of Education
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Havsteen-Franklin, Dominik; Cooper, Jasmine; Anas, Shafeena – Cogent Education, 2023
University students are at higher risk than the general population of becoming mentally unwell. Dominant risk factors are to do with relationships, work load, the university environment and approaches to learning and teaching. Over recent decades higher education has been increasingly influenced by rules of commodification, however less…
Descriptors: College Students, Creative Development, Creativity, Well Being
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Ji, Xuejun Ryan; Wu, Amery D. – Educational Measurement: Issues and Practice, 2023
The Cross-Classified Mixed Effects Model (CCMEM) has been demonstrated to be a flexible framework for evaluating reliability by measurement specialists. Reliability can be estimated based on the variance components of the test scores. Built upon their accomplishment, this study extends the CCMEM to be used for evaluating validity evidence.…
Descriptors: Measurement, Validity, Reliability, Models
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Longmeier, Meris Mandernach; Murphy, Sarah Anne – College & Research Libraries, 2021
Assessing digital scholarship services offered either through academic libraries or elsewhere on campuses is important for both program development and service refinement. Digital scholarship support is influenced by fluid campus priorities and limited resources, including staffing, service models, infrastructure, and partnership opportunities…
Descriptors: Library Services, Academic Libraries, Scholarship, Computer Use
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Razmgir, Maryam; Panahi, Sirous; Ghalichi, Leila; Mousavi, Seyed Ali Javad; Sedghi, Shahram – Research Evaluation, 2021
This article explores the models and frameworks developed on "research impact'. We aim to provide a comprehensive overview of related literature through scoping study method. The present research investigates the nature, objectives, approaches, and other main attributes of the research impact models. It examines to analyze and classify models…
Descriptors: Evaluation Research, Models, Evaluation Methods, Classification
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Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
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Yanhui Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and…
Descriptors: Algorithms, College Students, English (Second Language), Reading Ability
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Carmen Köhler; Lale Khorramdel; Artur Pokropek; Johannes Hartig – Journal of Educational Measurement, 2024
For assessment scales applied to different groups (e.g., students from different states; patients in different countries), multigroup differential item functioning (MG-DIF) needs to be evaluated in order to ensure that respondents with the same trait level but from different groups have equal response probabilities on a particular item. The…
Descriptors: Measures (Individuals), Test Bias, Models, Item Response Theory
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Hunkoog Jho; Minsu Ha – Journal of Baltic Science Education, 2024
This study aimed at examining the performance of generative artificial intelligence to extract argumentation elements from text. Thus, the researchers developed a web-based framework to provide automated assessment and feedback relying on a large language model, ChatGPT. The results produced by ChatGPT were compared to human experts across…
Descriptors: Feedback (Response), Artificial Intelligence, Persuasive Discourse, Models
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Xi Jin – International Journal of Web-Based Learning and Teaching Technologies, 2024
How to develop a teaching management system to improve the teaching efficiency of art courses has become an important challenge at present. This article takes university art teaching courses as the research object, uses dynamic L-M algorithm to optimize a large number of parameters, proposes an improved neural networks evaluation model,…
Descriptors: Instructional Effectiveness, Art Education, Barriers, Models
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Çelikbilek, Yakup; Adigüzel Tüylü, Ayse Nur – Interactive Learning Environments, 2022
Institutions and universities have started using e-learning systems to reach the potential students from all over the world by decreasing costs of investments. The speed of technological developments increases the importance of e-learning systems and their technology-based components. E-learning systems also decrease the costs of both institutions…
Descriptors: Electronic Learning, Technology Uses in Education, Distance Education, Artificial Intelligence
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Manapat, Patrick D.; Edwards, Michael C. – Educational and Psychological Measurement, 2022
When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait ([theta]) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal [theta]. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed…
Descriptors: Robustness (Statistics), Computational Linguistics, Item Response Theory, Psychological Patterns
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