[HTML][HTML] Prediction of Students' Adaptability Using Explainable AI in Educational Machine Learning Models

LC Nnadi, Y Watanobe, MM Rahman… - Applied Sciences, 2024 - mdpi.com
As the educational landscape evolves, understanding and fostering student adaptability has
become increasingly critical. This study presents a comparative analysis of XAI techniques …

Closing the gap: exploring the untapped potential of machine learning in deaf students and hearing students' academic performance

NR Raji, RMSS Kumar, CL Biji - International Journal of …, 2023 - search.proquest.com
Assessments and critical feedback play a crucial role in helping students not only master a
skill but also apply it effectively. Educational data mining (EDM) and machine learning (ML) …

MOOC in a Blended Learning Model for a Statistics Course: Exploring Participation and Achievement

D Stamovlasis, C Tsanidis - Emerging Trends and Historical …, 2023 - igi-global.com
The present contribution appreciates and acknowledges the new features that distance
education attains via the advances in information technologies and supports the multiplicity …

Analysis of educational data enabled by deep learning to increase student success

G Kumar, B Chaudhary, S Choudhary - Multidisciplinary Science …, 2023 - malque.pub
A key component of improving educational quality is identifying pupils who are at a high risk
of doing poorly academically as early as feasible. To accomplish this, most studies now in …

[PDF][PDF] The Effects of Combining a Growth Mindset Intervention and Learning Analytics on Mindset and Learning Engagement

E Tossaint - research.tue.nl
Growth-oriented beliefs have been associated with adaptive behavioral patterns and
increased academic achievement. An online growth mindset intervention tailored to the …