AIMC Topic: Students

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Hybrid SEM-ANN model for predicting undergraduates' e-learning continuance intention based on perceived educational and emotional support.

PloS one
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...

3D-BCLAM: A Lightweight Neurodynamic Model for Assessing Student Learning Effectiveness.

Sensors (Basel, Switzerland)
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...

A pilot evaluation of school-based LEGO® robotics therapy for autistic students.

Disability and rehabilitation. Assistive technology
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...

Explainable exercise recommendation with knowledge graph.

Neural networks : the official journal of the International Neural Network Society
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...

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
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...

The analysis of generative adversarial network in sports education based on deep learning.

Scientific reports
The importance of mental health is increasingly emphasized in modern society. The assessment of mental health qualities among college and university students as the future workforce holds significant significance. Therefore, this study, aiming to str...

Use of machine learning for simplification of University Personality Inventory (UPI).

Acta psychologica
BACKGROUND: Rapid diagnosis of mental health problems is crucial for college students. The University Personality Inventory (UPI) is a commonly used tools for assessing mental health in college students; however, it has certain limitations. This stud...

The effectiveness of using artificial intelligence in improving academic skills of school-aged students with mild intellectual disabilities in Saudi Arabia.

Research in developmental disabilities
WHAT THIS STUDY ADDS: Teaching academic skills to students with intellectual disabilities can be a challenge for educators. This study explored the role of AI in the field of special education and provided a novel framework for educational integratio...

Teaching design students machine learning to enhance motivation for learning computational thinking skills.

Acta psychologica
The integration of computational thinking (CT) to enhance creativity in design students has often been underexplored in design education. While design thinking has traditionally been the cornerstone of university design pedagogy and remains essential...

Audio-visual aesthetic teaching methods in college students' vocal music teaching by deep learning.

Scientific reports
In recent times, characterized by the rapid advancement of science and technology, the educational system has continuously evolved. Within this modern educational landscape, Science, Technology, Engineering, Arts, and Mathematics (STEAM) education ha...