AIMC Topic: Academic Performance

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Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM.

Sensors (Basel, Switzerland)
The availability of educational data obtained by technology-assisted learning platforms can potentially be used to mine student behavior in order to address their problems and enhance the learning process. Educational data mining provides insights fo...

Predicting Academic Performance of Students Using a Hybrid Data Mining Approach.

Journal of medical systems
Data mining offers strong techniques for different sectors involving education. In the education field the research is developing rapidly increasing due to huge number of student's information which can be used to invent valuable pattern pertaining l...

AI usage among medical students in Palestine: a cross-sectional study and demonstration of AI-assisted research workflows.

BMC medical education
BACKGROUND: Artificial Intelligence (AI) is transforming medical education globally, offering solutions to challenges such as resource limitations and limited clinical exposure. However, its integration in resource-constrained settings like Palestine...

Effects of ChatGPT on students' academic performance in Pakistan higher education classrooms.

Scientific reports
The rapid integration of cutting-edge technology is significantly transforming the higher education landscape. ChatGPT's groundbreaking technology has provided numerous advantages for higher education. This study explored students' behavioral intenti...

The benefits of physical literacy for human flourishing: A machine learning-based exploration of adolescents.

Applied psychology. Health and well-being
Physical literacy is a multidimensional concept considered fundamental for lifelong participation in physical activity. Although theories on the relationship between physical literacy and human flourishing have been proposed, no comprehensive study o...

AI-driven educational transformation in ICT: Improving adaptability, sentiment, and academic performance with advanced machine learning.

PloS one
This study significantly contributes to the sphere of educational technology by deploying state-of-the-art machine learning and deep learning strategies for meaningful changes in education. The hybrid stacking approach did an excellent implementation...