Equity-Enhancing AI: Integrating Counseling Marks for Fair Student Selection

B Bhuvaneswaran, P Vijay, J Varshini… - 2024 10th …, 2024 - ieeexplore.ieee.org
Students and parents face major problem in deciding college based on their interest and
academic acheiments. There is always a trade off between counselling marks and college …

[HTML][HTML] Analyzing the evolution of machine learning integration in educational research: a bibliometric perspective

MA Ayanwale, RR Molefi, S Oyeniran - Discover Education, 2024 - Springer
Abstract Machine learning, a subset of artificial intelligence, has experienced rapid
advancements and applications across various domains. In education, its integration holds …

Emotion Detection from Text using Natural Language Processing and Neural Networks

A Geetha - International Journal of Intelligent Systems and …, 2024 - ijisae.org
Emotion may be shown in a variety of ways, including voice, written texts, and facial
expressions and movements. Emotion detection in text is essentially a content-based …

Gamification and XAI Tutoring Structure using Mamdani Fuzzy Inference Systems

KS Narayanan, A Kumaravel - 2023 9th International …, 2023 - ieeexplore.ieee.org
The teaching methodology is important for the current student learning system because slow-
learning and fast-learning students are studying. So, the problem with improving the …

Impact of Parental Psychological Properties on Children's Academic Performance Measured by Machine Learning Technology

Y Sun, M Zhao - 2024 IEEE 7th Eurasian Conference on …, 2024 - ieeexplore.ieee.org
Parents' psychological properties influence their children's academic performance. The
internal relationship between these two is complex, and it is difficult to conclude with …

Exploring the role of machine learning in forecasting student performance in education: An in-depth review of literature

BR Pandian, AA Aziz, H Subramaniam… - Multidisciplinary …, 2023 - malque.pub
The literature on the role of machine learning in forecasting student performance in
education lacks comprehensive data quality, equitable and interpretable models …