AIMC Topic: Problem-Based Learning

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Self-Supervised Action Representation Learning Based on Asymmetric Skeleton Data Augmentation.

Sensors (Basel, Switzerland) Nov 20, 2022
Contrastive learning has received increasing attention in the field of skeleton-based action representations in recent years. Most contrastive learning methods use simple augmentation strategies to construct pairs of positive samples. When using such...
Learning Problem-Based Learning Skeleton Machine Learning
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Investigation on Deep Learning Model of College English Based on Multimodal Learning Method.

Computational intelligence and neuroscience Oct 7, 2022
Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the mastery of knowledge and skills and more on the cultivation of higher-order thinking skills such as aw...
Humans Language Students Universities Deep Learning Problem-Based Learning
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Bimodal Learning Engagement Recognition from Videos in the Classroom.

Sensors (Basel, Switzerland) Aug 9, 2022
Engagement plays an essential role in the learning process. Recognition of learning engagement in the classroom helps us understand the student's learning state and optimize the teaching and study processes. Traditional recognition methods such as se...
Artificial Intelligence Students Humans Problem-Based Learning
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Application of the PBL Model Based on Deep Learning in Physical Education Classroom Integrating Production and Education.

Computational intelligence and neuroscience Feb 18, 2022
This study aims to arouse students' interest in physical education (PE) in response to President Xi Jinping's call to strengthen students' physical quality because cultural courses occupy PE classes. Problem-based learning (PBL) is introduced, and a ...
Physical Education and Training Humans Students, Medical Surveys and Questionnaires Problem-Based Learning Deep Learning
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Active Learning for Drug Design: A Case Study on the Plasma Exposure of Orally Administered Drugs.

Journal of medicinal chemistry Nov 15, 2021
The success of artificial intelligence (AI) models has been limited by the requirement of large amounts of high-quality training data, which is just the opposite of the situation in most drug discovery pipelines. Active learning (AL) is a subfield of...
Machine Learning Drug Design Problem-Based Learning Pharmaceutical Preparations Administration, Oral
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A new ML-based approach to enhance student engagement in online environment.

PloS one Nov 10, 2021
The educational research is increasingly emphasizing the potential of student engagement and its impact on performance, retention and persistence. This construct has emerged as an important paradigm in the higher education field for many decades. How...
Feedback, Psychological Videoconferencing Electronic Mail Text Messaging Education, Distance Universities Support Vector Machine Neural Networks, Computer Problem-Based Learning Humans Motivation Students Problem Solving
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A deep learning approach to student registered nurse anesthetist (SRNA) education.

International journal of nursing education scholarship Jun 24, 2021
OBJECTIVES: This manuscript describes the application of deep learning to physiology education of Student Registered Nurse Anesthetists (SRNA) and the benefits thereof. A strong foundation in physiology and the ability to apply this knowledge to chal...
Thinking Nurse Anesthetists Humans Students, Nursing Problem-Based Learning Deep Learning
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Active deep learning to detect demographic traits in free-form clinical notes.

Journal of biomedical informatics May 16, 2020
The free-form portions of clinical notes are a significant source of information for research, but before they can be used, they must be de-identified to protect patients' privacy. De-identification efforts have focused on known identifier types (nam...
Humans Phenotype Confidentiality Problem-Based Learning Deep Learning Demography
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A semi-supervised machine learning framework for microRNA classification.

Human genomics Oct 22, 2019
BACKGROUND: MicroRNAs (miRNAs) are a family of short, non-coding RNAs that have been linked to critical cellular activities, most notably regulation of gene expression. The identification of miRNA is a cross-disciplinary approach that requires both c...
Problem-Based Learning Learning Curve Area Under Curve Algorithms Supervised Machine Learning Humans Animals MicroRNAs
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Active deep learning for the identification of concepts and relations in electroencephalography reports.

Journal of biomedical informatics Aug 27, 2019
The identification of medical concepts, their attributes and the relations between concepts in a large corpus of Electroencephalography (EEG) reports is a crucial step in the development of an EEG-specific patient cohort retrieval system. However, th...
Medical Informatics Cohort Studies Problem-Based Learning Electronic Data Processing Natural Language Processing Epilepsy Bayes Theorem Brain Electroencephalography Information Storage and Retrieval Deep Learning Humans Neural Networks, Computer
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