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Laurie Lachance; Barbara L. Brush; Graciela Mentz; Shoou-Yih D. Lee; P. Paul Chandanabhumma; Chris M. Coombe; Ricardo DeMajo; Adena Gabrysiak; Megan Jensen; Angela G. Reyes; Zachary Rowe; Amy J. Schulz; Eliza Wilson-Powers; Barbara A. Israel – Health Education & Behavior, 2024
Conceptualizing and testing factors that contribute to the success of community-academic partnerships are critical to understanding their contributions to the health and well-being of communities. Most measures to date focus on factors that contribute to the development of new partnerships, and only a few have been adequately tested and validated.…
Descriptors: Community Involvement, Participatory Research, Evaluation Methods, Questionnaires
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Justin Kompf; Ryan Rhodes – Measurement in Physical Education and Exercise Science, 2024
The measurement of resistance training (RT) is often based on adaptations of aerobic physical activity measures which may not contain the elements necessary to assess RT. The purpose of this systematic review was to examine what measures are used to assess RT and appraise their composition. Specifically, the inclusion of frequency, duration,…
Descriptors: Physical Fitness, Training, Muscular Strength, Evaluation Methods
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Duraisamy Akila; Harish Garg; Souvik Pal; Sundaram Jeyalaksshmi – Education and Information Technologies, 2024
Online education has been expected to be the future of learning; it will never replace the value of traditional classroom experiences fully. Technical problems have less impact on offline education, which gives students more freedom to plan their time and stick to it. In addition, teachers cannot observe their students' behavior and activities…
Descriptors: In Person Learning, Student Behavior, Attention, Artificial Intelligence
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Liyang Sun; Eli Ben-Michael; Avi Feller – Grantee Submission, 2024
The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data. Two challenges arise with higher frequency data (e.g., monthly versus yearly): (1) achieving excellent pre-treatment fit is typically more challenging; and (2) overfitting to noise is more likely. Aggregating data…
Descriptors: Evaluation Methods, Comparative Analysis, Computation, Data Analysis
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Jason Loh; Wan Har Chong; Christina Lim-Ratnam – Asia Pacific Journal of Education, 2024
This scoping review examines the landscape of educational evaluation research in Asia over the past decade, uncovering the methodologies, themes, and unique regional challenges within this domain. By delving into 62 articles from evaluation-centric journals, the study reveals a predominant focus on learning, teaching, and assessment, highlighting…
Descriptors: Evaluation, Program Evaluation, Educational Research, Foreign Countries
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Rebecca H. Woodland; Rebecca Mazur – American Journal of Evaluation, 2024
Logic modeling, the process that explicates how programs are constructed and theorized to bring about change, is considered to be standard evaluation practice. However, logic modeling is often experienced as a transactional, jargon-laden, discrete task undertaken to produce a document to comply with the expectations of an external entity, the…
Descriptors: Evaluation Research, Evaluation Methods, Program Evaluation, Models
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Jing Chen; Ruiqi Wang; Bei Fang; Chen Zuo – Interactive Learning Environments, 2024
Online learning has developed rapidly and billions of learners have participated in various courses. However, the high dropout rate is universal and learning performance is not satisfactory. Fortunately, learners have posted a large number of reviews which express their feedback opinions. The fine-grained aspects and opinions existing in reviews…
Descriptors: Online Courses, Feedback (Response), Opinions, Algorithms
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Katerina Berková; Martina Chalupová; František Smrcka; Marek Musil; Dagmar Frendlovská – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are very important tools for contemporary education. Not only researchers, but also schools at different levels of education and students are evaluating in this way today. A large number of studies have addressed the issue, but there are few studies that have explored the possibilities of transferring the…
Descriptors: Learning Analytics, Formative Evaluation, Self Evaluation (Individuals), Universities
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Thanh Thuy Do; Golnoosh Babaei; Paolo Pagnottoni – Measurement: Interdisciplinary Research and Perspectives, 2024
Complex Machine Learning (ML) models used to support decision-making in peer-to-peer (P2P) lending often lack clear, accurate, and interpretable explanations. While the game-theoretic concept of Shapley values and its computationally efficient variant Kernel SHAP may be employed for this aim, similarly to other existing methods, the latter makes…
Descriptors: Artificial Intelligence, Risk Management, Credit (Finance), Prediction
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Kerstin Löf Catini; Susanne Westman; Eva Alerby – Policy Futures in Education, 2024
Public pressure on evaluation has influenced educational projects and national evaluation systems for many decades. This article extends the ongoing discussions in the field, offering a problematising exploration of evaluation as an educational policy phenomenon, thinking with the notion of rhythm in the analysis. Approaching educational…
Descriptors: Educational Assessment, Educational Policy, Educational Philosophy, Educational Research
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Lanqin Zheng; Zichen Huang; Yang Liu – Journal of Learning for Development, 2024
In recent years, the growing incidence of blended and online learning has highlighted instructional design concerns, especially STEM instructional design. Existing studies have often adopted observations, questionnaires, or interviews to evaluate STEM instructional design plans. However, there is still a lack of quantitative, measurable, and…
Descriptors: STEM Education, Preservice Teachers, Information Transfer, Statistical Analysis
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Tyler-Curtis C. Elliott; Andrea M. Zawoyski; Kevin M. Ayres – Journal of Behavioral Education, 2024
When teachers work with students exhibiting academic failure, they may look to factors outside of instruction such as a student's home life or perceived disability as explanations. Placing the locus of control outside of the instructional context becomes a convenient way to escape culpability for unsatisfactory outcomes. A more functional approach…
Descriptors: Academic Failure, Environmental Influences, Test Construction, Evaluation Methods
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Jamie M. Holloway; Heewon L. Gray; Acadia W. Buro; Jodi Thomas; Rachel Sauls; Allison M. Howard – Review Journal of Autism and Developmental Disorders, 2024
This review aimed to identify measurement tools to assess dietary intake and physical activity (PA) among individuals with autism spectrum disorder (ASD) and describe the evidence of validity and availability of each tool. Searches were conducted in PubMed, Embase, CINAHL, and PsycINFO using keywords for ASD, PA, diet, and assessment/measurement…
Descriptors: Dietetics, Eating Habits, Nutrition, Physical Activities
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Eduarda de Souza Silva; Kamila Castro; Sandra Costa Valle; Juliana dos Santos Vaz – Review Journal of Autism and Developmental Disorders, 2024
We conducted a systematic review of the literature to evaluate the quality of the dietary data and the methods used to obtain them in studies with children and adolescents with ASD. The search of PsycINFO, PubMed, SciELO, and Web of Science using SPIDER strategy retrieved 1975 studies. Data on dietary intake assessment methodologies were…
Descriptors: Dietetics, Eating Habits, Children, Adolescents
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Nandita Bhanja Chaudhuri; Debayan Dhar – International Journal of Technology and Design Education, 2024
Evaluation in Design education is subjective and generally depends upon the pedagogues' personal perspective. Conducting subjective evaluation on a large scale is associated with multiple challenges; therefore, digitized evaluation is integral to maintain consistency in the evaluation process. This systematic literature review utilized SCOPUS, Web…
Descriptors: Creativity, Design, Evaluation Methods, Research Methodology
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