| Abstract: |
Automatic student performance prediction makes AI-based teaching more advanced than traditional teaching. Fundamental hands-on skills and key algorithms will be introduced and summarised for the problem of students' learning level regression. Special focus will be placed on the deep learning method. This workshop provides a wide range of possible applications for different disciplines, like students' performance prediction, automatic warning/intervention systems, and individualised education systems. This workshop is developed specifically for the participants without any technology or programming background.
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| Guest Speaker: |
Dr HAN Dongkun
Lecturer, Department of Mechanical and Automation Engineering, CUHK
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| Date & Time: |
27 September 2023 (Wednesday) 3:00 pm - 4:30 pm (Hong Kong Time)
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| Venue: |
Room 110, 1/F, T. C. Cheng Building, United College, CUHK, N.T., Hong Kong
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| Target Audience: |
Academics and researchers
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| Capacity: |
30
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| Language: |
English
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| Details and Registration: |
https://www.aiforeducation.net/event-details/ai-based-student-profiling-and-learner-level-prediction
(Deadline: 26 September 2023, 11:59 pm)
Please click here for the event poster.
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| Remarks: |
There is a potential to re-run this hands-on training workshop. Kindly register for the event, and we will inform the registrants of the waiting list when re-running it.
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