AIMC Topic: Students

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AI and Uncertain Motivation: Hidden allies that impact EFL argumentative essays using the Toulmin Model.

Acta psychologica Jan 3, 2025
This study investigates the combined impact of artificial intelligence (AI) tools and Uncertain Motivation (UM) strategies on the argumentative writing performance of Saudi EFL learners, using the Toulmin Model. Sixty Saudi EFL students participated ...
Humans Artificial Intelligence Young Adult Adult Male Writing Learning Female Motivation Uncertainty Students Saudi Arabia
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Predicting learning achievement using ensemble learning with result explanation.

PloS one Jan 2, 2025
Predicting learning achievement is a crucial strategy to address high dropout rates. However, existing prediction models often exhibit biases, limiting their accuracy. Moreover, the lack of interpretability in current machine learning methods restric...
Machine Learning Humans Algorithms Students Learning Logistic Models
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Utilising AI technique to identify depression risk among doctoral students.

Scientific reports Dec 30, 2024
The phenomenon that the depression risk among doctoral students is higher than that of other groups should not be ignored. Despite this, studies specifically addressing depression risk in doctoral students are relatively scarce, and existing findings...
Male Students Depression Universities Education, Graduate Female Risk Factors Adult Neural Networks, Computer Humans Artificial Intelligence
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Conceptual understanding and cognitive patterns construction for physical education teaching based on deep learning algorithms.

Scientific reports Dec 28, 2024
To improve students' understanding of physical education teaching concepts and help teachers analyze students' cognitive patterns, the study proposes an association learning-based method for understanding physical education teaching concepts using de...
Physical Education and Training Deep Learning Neural Networks, Computer Humans Teaching Algorithms Students Cognition Comprehension
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How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.

Cadernos de saude publica Dec 20, 2024
Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. Based on the following research question: "How do machine learning models perform in the detection o...
Students Stress, Psychological Humans Universities Anxiety Machine Learning Depression
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Hybrid SEM-ANN model for predicting undergraduates' e-learning continuance intention based on perceived educational and emotional support.

PloS one Dec 13, 2024
Based on the Expectation Confirmation Model (ECM), this study explores the impact of perceived educational and emotional support on university students' continuance intention to engage in e-learning. Researchers conducted a survey using structured qu...
Male Students Surveys and Questionnaires Humans Young Adult Adolescent Intention Neural Networks, Computer Adult Universities Education, Distance Learning Emotions Female
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3D-BCLAM: A Lightweight Neurodynamic Model for Assessing Student Learning Effectiveness.

Sensors (Basel, Switzerland) Dec 9, 2024
Evaluating students' learning effectiveness is of great importance for gaining a deeper understanding of the learning process, accurately diagnosing learning barriers, and developing effective teaching strategies. Emotion, as a key factor influencing...
Emotions Students Deep Learning Humans Neural Networks, Computer Machine Learning Learning
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A pilot evaluation of school-based LEGO® robotics therapy for autistic students.

Disability and rehabilitation. Assistive technology Dec 5, 2024
There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skills. LEGO® robotics therapy - which uses the principles of LEGO® therapy applied to LEGO® robotics - m...
Humans Anxiety Pilot Projects Surveys and Questionnaires Motivation Female Adolescent Autistic Disorder Male Robotics Students Social Skills Schools
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Explainable exercise recommendation with knowledge graph.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2024
Recommending suitable exercises and providing the reasons for these recommendations is a highly valuable task, as it can significantly improve students' learning efficiency. Nevertheless, the extensive range of exercise resources and the diverse lear...
Students Deep Learning Knowledge Humans Learning
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Representing DNA for machine learning algorithms: A primer on one-hot, binary, and integer encodings.

Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology Dec 5, 2024
This short paper presents an educational approach to teaching three popular methods for encoding DNA sequences: one-hot encoding, binary encoding, and integer encoding. Aimed at bioinformatics and computational biology students, our learning interven...
DNA Students Computational Biology Humans Machine Learning Algorithms
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