Abstract
Smart e-Learning environments are no more novice but have become the order-of-the-day, with the strengths gained and exhibited by the recent technologies. Also, personalization is the current norm with each learner customizing his/her own Learning environments, not only on his interests but also to his tastes. Personalization of the e-Learning environments for the 'Cognitively Disabled' is still to be evolved, as personalization cannot be left to the discretion of the disabled user. It has to be done by the supporting people like the teacher, therapist or the parent. This manual intervention can be minimized, using Self-Learning environments, which can interact with the child, understand him and dynamically personalize the lesson plans, based on his interests, mood and current attention span. Proposing a Smart e-Learning Tutoring model for the Autistic with machine learning capabilities that help in generating dynamic e-Learning sessions, thus maximizing each learner's opportunity to grasp and learn independently.
| Original language | British English |
|---|---|
| Title of host publication | Proceedings - IEEE International Conference on Technology for Education, T4E 2011 |
| Pages | 43-50 |
| Number of pages | 8 |
| DOIs | |
| State | Published - 2011 |
| Event | 3rd International Conference on Technology for Education, T4E 2011 - Chennai, Tamil Nadu, India Duration: 14 Jul 2011 → 16 Jul 2011 |
Publication series
| Name | Proceedings - IEEE International Conference on Technology for Education, T4E 2011 |
|---|
Conference
| Conference | 3rd International Conference on Technology for Education, T4E 2011 |
|---|---|
| Country/Territory | India |
| City | Chennai, Tamil Nadu |
| Period | 14/07/11 → 16/07/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
Keywords
- Autism Spectrum Disorders
- Cognitively Disabled
- Context Captured
- e-Learning
- Smart Tutor
- User Profiling
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