M Learning
Mostrando 1-12 de 487 artigos, teses e dissertações.
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1. Promoting inclusion and equity in Higher Education: Is this the role of distance learning in Brazil?
Resumo Esse estudo tem como objetivo investigar como as matrículas alcançaram um rápido aumento na Educação Superior a Distância no Brasil e considerar se, de fato, promove inclusão, equidade e qualidade, conforme orientado pelo Objetivo de Desenvolvimento Sustentável 4 (ODS 4) e o Plano Brasileiro de Educação (PNE). Os procedimentos metodológicos
Ensaio: Avaliação e Políticas Públicas em Educação. Publicado em: 2023
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2. Comparison of ultrasonography learning between distance teaching and traditional methodology. An educational systematic review
ABSTRACT BACKGROUND: Use of the web for radiological education is an obvious application. Many computer-based teaching materials have been developed over recent years, and e-learning is becoming increasingly popular in medical schools. OBJECTIVE: To assess whether the effectiveness of distance-learning and/or e-learning, m-learning and web-based methods ar
Sao Paulo Medical Journal. Publicado em: 2022
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3. Cascade Modeling of the Measuring System Used to Assess S-Parameters of Anchor Rods on Power Transmission Lines Guyed Towers
Abstract The structural condition of the cable-stayed towers anchorage on power transmission lines requires constant monitoring. Maintenance routines must be able to identify faulty anchor rods and substitute them to avoid tower collapses and power delivery interruptions. Modern statistical diagnostic systems based on machine learning requires the generation
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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4. Identifying conceptions of the covalent bond: an analysis from a systematic review
The covalent bond is a classical topic in science education because it is fundamental to a considerable number of other concepts and by its ability to interpret several chemical phenomena. However, the process of learning this concept presents some difficulties discussed here. This article brings together the conceptions related to the covalent bond, identif
Química Nova. Publicado em: 2022
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5. Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use
Objective: To improve the ability of psychiatry researchers to build, deploy, maintain, reproduce, and share their own psychophysiological tasks. Psychophysiological tasks are a useful tool for studying human behavior driven by mental processes such as cognitive control, reward evaluation, and learning. Neural mechanisms during behavioral tasks are often stu
Brazilian Journal of Psychiatry. Publicado em: 2022
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6. Cognitive assessment of Brazilian patients with multiple sclerosis: weighing the impact of disability and depressive symptoms
RESUMO A esclerose múltipla (EM) é a doença desmielinizante mais comum do sistema nervoso central. A cognição não é rotineiramente avaliada nos pacientes apesar da ocorrência frequente de queixas ou disfunção cognitivas. Objetivo: Comparar o perfil de pacientes com EM com controles pareados por idade, sexo e escolaridade e investigar a potencial i
Dementia & Neuropsychologia. Publicado em: 2022
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7. A systematic review of smartphone applications and devices for obstructive sleep apnea
Abstract Objective: Sleep is fundamental for both health and wellness. The advent of “on a chip” and “smartphone” technologies have created an explosion of inexpensive, at-home applications and devices specifically addressing sleep health and sleep disordered breathing. Sleep-related smartphone Applications and devices are offering diagnosis, manage
Brazilian Journal of Otorhinolaryngology. Publicado em: 2022
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8. Estudo e validação de uma progressão de aprendizagem em cinética química de estudantes de nível superior
This work aims to study the learning progression of students from two federal universities in Rio de Janeiro within the scope of Chemical Kinetics. For the elaboration of the research questionnaire, 46 professors from eleven Brazilian universities were consulted and from the collected data, a questionnaire was elaborated and applied to 452 students of Pharma
Quím. Nova. Publicado em: 2021-03
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9. Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms
SUMMARY OBJECTIVES: This study aimed to develop artificial intelligence and machine learning-based models to predict alterations in liver enzymes from the exposure of low annual average effective doses in radiology and nuclear medicine personnel of Institute of Nuclear Medicine and Oncology Hospital. METHODS: Ninety workers from the Radiology and Nuclear M
Rev. Assoc. Med. Bras.. Publicado em: 2021-02
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10. CÉLULAS ELETROLÍTICA E A COMBUSTÍVEL CONFECCIONADAS COM MATERIAIS ALTERNATIVOS PARA O ENSINO DE ELETROQUÍMICA
The proposal addresses the electrochemical experimentation as a pedagogical instrument for the integral and dynamic student involvement, facilitating the teaching-learning process. The experimental proposal focuses on the conversion of electrical energy to chemical energy and vice versa. The experiments for the two simultaneous energy conversions were design
Quím. Nova. Publicado em: 2021-01
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11. Automated Framework for Developing Predictive Machine Learning Models for Data-Driven Drug Discovery
The increasing availability of extensive collections of chemical compounds associated with experimental data provides an opportunity to build predictive quantitative structure-activity relationship (QSAR) models using machine learning (ML) algorithms. These models can promote data-driven decisions and have the potential to speed up the drug discovery process
J. Braz. Chem. Soc.. Publicado em: 2021-01
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12. PREDICTING THE PERFORMANCE PARAMETERS OF CHISEL PLOW USING NEURAL NETWORK MODEL
ABSTRACT This study examines the capability of an artificial neural network (ANN) approach using a backpropagation-learning algorithm to predict performance parameters for a chisel plow at three field sites with differing soils. The draft force, effective field capacity (EFC), fuel consumption rate (FC), overall energy efficiency (OEE), and rate of plowed so
Eng. Agríc.. Publicado em: 2020-12