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Vázquez-Bernal, Bartolomé; Jiménez-Pérez, Roque – Science & Education, 2023
The objective of this work was the theoretical modeling of a construct based on teaching practice about the perception that pupils have of difficulties in problem solving (PS) in experimental sciences, specifically physics, to predict pupil performance in PS. The research was carried out with an incidental sample of second year of secondary…
Descriptors: Teaching Methods, Models, Teacher Attitudes, Science Instruction
Ke-Hai Yuan; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models…
Descriptors: Structural Equation Models, Path Analysis, Weighted Scores, Comparative Testing
Etzkowitz, Henry; Dzisah, James; Clouser, Michael – Industry and Higher Education, 2022
The paper delineates three elements of an entrepreneurial university in practice through innovations demonstrating the academic entrepreneurial transition: the "Novum Trivium," Professors of Practice (PoPs) and Link initiatives. The "Novum Trivium" provides a model for the integration of entrepreneurship into a liberal arts…
Descriptors: Entrepreneurship, Educational Innovation, Liberal Arts, Cultural Awareness
Deborah L. Hall; Yasin N. Silva; Brittany Wheeler; Lu Cheng; Katie Baumel – International Journal of Bullying Prevention, 2022
Cyberbullying has become increasingly prevalent, particularly on social media. There has also been a steady rise in cyberbullying research across a range of disciplines. Much of the empirical work from computer science has focused on developing machine learning models for cyberbullying detection. Whereas machine learning cyberbullying detection…
Descriptors: Bullying, Computer Mediated Communication, Social Media, Research
San Martín, Ernesto; González, Jorge – Journal of Educational and Behavioral Statistics, 2022
The nonequivalent groups with anchor test (NEAT) design is widely used in test equating. Under this design, two groups of examinees are administered different test forms with each test form containing a subset of common items. Because test takers from different groups are assigned only one test form, missing score data emerge by design rendering…
Descriptors: Tests, Scores, Statistical Analysis, Models
Zhu, Xinhua; Wu, Han; Zhang, Lanfang – IEEE Transactions on Learning Technologies, 2022
Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG still remain challenging mainly because of the following two major reasons: (1) high-precision scoring…
Descriptors: Intelligent Tutoring Systems, Grading, Automation, Models
Glaveanu, Vlad; Kaufman, James C. – Gifted Education International, 2022
What is the aim of giftedness? Is the goal to narrow in on the gifts of a select few or to nurture everyone's gifts such that they may be exchanged with each other? Drawing from creativity theory, we emphasize the possible interactive element of giftedness. Current paradigms risk ignoring hidden creativities and for potential to remain in the…
Descriptors: Gifted, Creativity, Cooperation, Models
McCluskey, Sydne – ProQuest LLC, 2023
Rater comparison analysis is commonly necessary in the social sciences. Conventional approaches to the problem generally focus on calculation of agreement statistics, which provide useful but incomplete information about rater agreement. Importantly, one-number agreement statistics give no indication regarding the nature of disagreements, nor do…
Descriptors: Bayesian Statistics, Structural Equation Models, Interrater Reliability, Beliefs
Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
Monsalve-Pulido, Julian; Aguilar, Jose; Montoya, Edwin – Education and Information Technologies, 2023
The adaptation of traditional systems to service-oriented architectures is very frequent, due to the increase in technologies for this type of architecture. This has led to the construction of frameworks or methodologies for adapting computational projects to service-oriented architecture (SOA) technology. In this work, a framework for adaptation…
Descriptors: Artificial Intelligence, Information Technology, Design, Governance
Kim, Rae Yeong; Yoo, Yun Joo – Journal of Educational Measurement, 2023
In cognitive diagnostic models (CDMs), a set of fine-grained attributes is required to characterize complex problem solving and provide detailed diagnostic information about an examinee. However, it is challenging to ensure reliable estimation and control computational complexity when The test aims to identify the examinee's attribute profile in a…
Descriptors: Models, Diagnostic Tests, Adaptive Testing, Accuracy
Kasli, Murat; Zopluoglu, Cengiz; Toton, Sarah L. – Journal of Educational Measurement, 2023
Response times (RTs) have recently attracted a significant amount of attention in the literature as they may provide meaningful information about item preknowledge. In this study, a new model, the Deterministic Gated Lognormal Response Time (DG-LNRT) model, is proposed to identify examinees with item preknowledge using RTs. The proposed model was…
Descriptors: Reaction Time, Test Items, Models, Familiarity
Yonzon, Kulsum Chishti; Fleer, Marilyn; Fragkiadaki, Glykeria; Rai, Prabhat – International Journal of Early Childhood, 2023
Knowing how children become oriented to imaginary play can help educators in centres better support development. But how this begins in the first years of life is not well understood. How toddlers transform through their imagination concrete objects (such as play accessories, figurines, and books) to become props in play (placeholders and pivots)…
Descriptors: Toddlers, Imagination, Visual Aids, Foreign Countries
Elliot, Andrew J.; Sommet, Nicolas – Educational Psychology Review, 2023
Integration is a valuable yet underutilized process in scientific literatures, including the achievement motivation literature. In this piece, we advocate for and illustrate the benefits of giving integration a central place within the achievement motivation literature. We pay particular attention to the hierarchical model of achievement…
Descriptors: Academic Achievement, Student Motivation, Models, Research Methodology
Roos, Nicolas; Sassen, Remmer; Guenther, Edeltraud – International Journal of Sustainability in Higher Education, 2023
Purpose: Higher education institutions, as influential social institutions, play an important role in promoting social responsibility and sustainable practices. However, approaches to implementing sustainable development (SD) in higher education institutions (HEIs) themselves remain fuzzy. One way to achieve holistic embedding can lie in…
Descriptors: Foreign Countries, Sustainability, Governance, Organizational Culture