A novel concept of analysing performance of Deaf students using neural networks

AI approaches in education based on individual learner characteristics: A review

O Grasse, A Mohr, AK Lange… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
The number of students who demand high quality education is growing continuously.
Targeted, efficient education becomes increasingly important. Digital teaching formats …
被引用次数：2 相关文章 所有 2 个版本

Using AI to Improve Accessibility and Inclusivity in Higher Education for Students with Disabilities

X Mitre, M Zeneli - 2024 21st International Conference on …, 2024 - ieeexplore.ieee.org
Around 1.3 billion, or more than 15% of the global population, suffer from a significant form
of disability, with students and researchers in this category being underrepresented in …
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Unsupervised Learning for Understanding Diversity: Applying Feature Engineering and Cluster Analysis to Deaf and Hard of Hearing Data

A Poly, PKN Banu, AT Azar… - … Conference on Control …, 2024 - ieeexplore.ieee.org
As e-Learning emerges as a promising tool for instruction delivery, personalizing the e-
Learning platform for DHH learners will benefit them to improve their learning engagement …
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Discovering the Micro-Clusters From a Group of DHH Learners: An Approach Using Machine Learning Techniques

A Poly, PKN Banu - Transforming Education for Personalized …, 2024 - igi-global.com
The e-learning environment is essentially helpful for improving the autonomous learning
skills of the DHH learners. Facing numerous resources online, DHH learners need support …
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