Results 71 to 80 of about 202,846 (296)
The role of cognitive assessments and epistemological beliefs in Predicting students' academic engagement [PDF]
Introduction: Academic engagement is a multidimensional construct, that they are involved in which cognitive factors, including cognitive assessments and epistemological beliefs.
Akbar Rezaei, Jafar Bahadorikhosroshahi
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This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
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Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
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Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
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This study examines the Merdeka Belajar Kampus Merdeka (MBKM) program in Islamic Higher Education Institutions (PTKI) from ontological, epistemological, and axiological perspectives. The research aims to understand the unique characteristics of MBKM and
Mawi Khusni Albar +2 more
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Epistemological Obstacles on The Quadratic Inequality
Students often experience difficulties and errors in solving quadratic inequality problems. These difficulties and errors are not only caused by students’ ignorance or misconceptions, but also caused by epistemological obstacles.
Kimura Patar Tamba, Melda Jaya Saragih
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Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
David Lewis, the author of Bangladesh: Politics, Economy and Civil Society (2012), and LSE Professor of Social Policy and Development, is quite right when he says Bangladesh is little known to the western world except forits pervasive image of a ...
Manzoorul Abedin
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An Analysis of Epistemological Learning Barriers on Newton’s Law Material in Engineering Class
Physics learning barriers have been studied quite a lot, one of which is epistemological learning barriers. This study aims to determine the epistemological learning barriers and what the percentage of epistemological learning barriers on Newton’s law ...
Antomi Saregar +4 more
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Evaluation of Conceptual Modeling Languages. An Epistemological Discussion [PDF]
The Information Systems (IS) discipline is coined by a multiplicity of available conceptual modeling approaches. Thus, evaluation techniques have been developed in order to assess the appropriateness of a conceptual model in a given context.
Recker, Jan, Recker, Jan C.
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