Results 101 to 110 of about 74,071 (357)
An Ensemble Voting Approach for Dropout Student Classification Using Decision Tree C4.5, K-Nearest Neighbor and Backpropagation [PDF]
, 2023 Daffa Nur Cholis, Nurissaidah Ulinnuha
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An Examination of Student Disengagement and Reengagement from an Alternative High School [PDF]
, 2019 Each year, 20% of U.S. students drop out of high school (Balfanz, Bridgeland, Bruce, & Fox, 2013). There is an abundance of research on student behaviors from researchers who explored the process of student disengagement from school (Bowers, Sprott ...
Flores, Marina Escamilla +1 more
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Learnable Diffusion Framework for Mouse V1 Neural Decoding
Advanced Science, EarlyView.We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Revista Brasileira de Educação MédicaEste estudo proporciona uma apreciação do perfil dos alunos de Fisioterapia da Universidade Federal dos Vales do Jequitinhonha e Mucuri, apurando possíveis causas de evasão, e analisa as opiniões destes em relação a sua formação e a esta nova Instituição
Karen Nubya Faria +5 more
doaj +1 more source
Nordic Journal of African Studies, 2006 Using the narratives by school dropouts, their parents, and teachers, this paper discusses the causes and consequences of dropping out of school. The paper demonstrates that some rural children in Ghana do not attend school due to cultural conventions ...
Cecilia Sem Obeng
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Factors that determine the persistence and dropout of university students
Psicothema, 2018 The increase of students in higher education means a more heterogeneous student body, complicating the identification of the variables that influence students' decisions to stay in or drop out of university. The objective of this study is to analyze the influence of these variables on students' decisions by establishing specific groups of students ...
Casanova, Joana R. +4 more
openaire +5 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Overcoming barriers in it education: academic and social challenges in India and Kazakhstan
Хабаршысы. Экономика сериясыThis study examines the underlying factors contributing to IT student dropouts in India and Kazakhstan, with a focus on academic, economic, and social challenges.
O.V. Kirichok +3 more
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Implementation of Bayesian Hyperparameter Optimization for Predicting Student Dropout in Sub-Saharan Africa Secondary Schools [PDF]
, 2022 Yuda N. Mnyawami +2 more
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Multiple Pathways to Graduation: New Routes to High School Competition [PDF]
, 2010 Examines three approaches -- targeted population, district-wide, and linked learning -- to raising graduation rates, benefits, and challenges; what is required for implementation; and which approaches work well for different types of ...
Paul T. Hill, Shannon Marsh
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