Independent Learning Assisted by Means of Machine Learning
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This document proposes using machine learning to assist independent learning for students attending online lectures due to the pandemic. It suggests a program where students in areas with limited technology can submit handwritten work via a village center or mobile device to be optically scanned for analysis. The goals are to enable personalized learning for those who missed schooling, facilitate social-emotional learning, support assessments to plan learning, and reduce burdens on educators during disruptions.
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- 1. INDEPENDENT LEARNING ASSISTED BY MEANS OF MACHINE LEARNING HOW MACHINE LEARNING CAN ASSIST IN INDEPENDENT LEARNING?
- 2. Addressing the problems that have arisen with students working from home and attending lectures online, the following solution is proposed:
- 3. How parents and/or caretakers also become more engaged in the student’s work? How can students attending online lectures become more engaged in the activity? The Problem:
- 4. In regions with limited access to computer technology, what is proposed is a program where students can actively learn by means of submitting handwritten work for OCR scanning. This can be at a village center or even from a mobile device.
- 5. The technology involved has academic relevance that the whole family may find interesting. For example, the image to the right is a representation of isomorphism.
- 8. Enable and improve personalized learning and individualized instruction for learners who have experienced disruptions in schooling and missed foundational milestones.
- 9. Facilitate meaningful social- emotional learning among underserved young people.
- 10. Support timely and manageable assessments to help under-resourced communities better plan, monitor, and evaluate learning.
- 11. Lift administrative burdens on educators and support professional development as they implement new approaches and navigate continued disruptions.
- 12. This has been a brief presentation for a proposed online course for educators and community organizers. Thank you for watching.