Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2123
Title: APlus: An Intelligent Lecture Delivery System using Artificial Intelligence Learning Analytics
Authors: Kodagoda, C
Madampe, V
Ekanayake, R
De Silva, N
Wijesundara, M
Atapattu, P
Keywords: APlus
Intelligent Lecture
Delivery System
Artificial Intelligence
Learning Analytics
Issue Date: 9-Dec-2021
Publisher: IEEE
Citation: C. Kodagoda, V. Madampe, R. Ekanayake, N. De Silva, M. Wijesundara and P. Atapattu, "APlus: An Intelligent Lecture Delivery System using Artificial Intelligence Learning Analytics," 2021 3rd International Conference on Advancements in Computing (ICAC), 2021, pp. 116-121, doi: 10.1109/ICAC54203.2021.9670884.
Series/Report no.: 2021 3rd International Conference on Advancements in Computing (ICAC);Pages 116-121
Abstract: As technology advances, new ways of teaching and learning can be discovered. Online learning platforms are able to provide easy, informative, and effective methods of delivering information since people are getting more accustomed to the use of e-learning. With the help of Artificial Intelligence, these methods can be refined to understand the users on a deeper level and provide services that are helpful and are more tailored to each user. The purpose of this project is to design an e-learning platform equipped for both educators and students. The system will be able to allow users to record/upload lecture sessions and other related study materials to the service which in return, with the use of Artificial Intelligence, try to understand the context of each lesson, segment videos, generate questions and deliver the materials to the Learner. The system will use various inputs from the Learner including video observation time, watched duration, types of videos watched, answers for questions, etc. to build a comprehensive profile of Learners. The system will use the knowledge gathered to provide services such as recommendations to the Learner, track the progress of the Learner as well as provide useful statistics of lecture materials to the Content Providers.
URI: http://rda.sliit.lk/handle/123456789/2123
ISBN: 978-1-6654-0862-2
Appears in Collections:Department of Computer systems Engineering-Scopes
Research Papers - Dept of Computer Systems Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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