Course Recommendation System for E-Learning


Authors : Pakshal Shah; Shrikrishna Munde; Azaan Farooq; Giriprasad Hanamsagar; Reena Pagare

Volume/Issue : Volume 8 - 2023, Issue 5 - May


Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/41HbtHB

DOI : https://doi.org/10.5281/zenodo.7943401


Abstract : Since the pandemic of 2020, Online learning platforms have boomed. People worldwide are eager to learn and explore new things during their free time. Also, with this emerging world of technologies, contents are available online for free but present in huge chunks. This freely available content is cluttered, due to which many people face problems in reaching their goals with proper guidance free of cost. Speaking of E-Learning, it is mainly focused on two students, i.e., a) Traditional people who only gain knowledge before jumping to professional life, and the other student is b) Workers who have prior knowledge but need to improve what they already have to keep up with the job requirement, this learning can be called lifelong learning. There are several resources for learning as a result of technological innovation. different sources for learning, i.e., For notes, there are many resources and learning from video sources there are countless numbers of video content which leads users to churn from one source to another and thus leads to distraction from goal without any proper guidance. To overcome this, we build a course recommendation system that will help learners choose the right a ?.

Keywords : E-Learning, Online Course Recommendation System.

Since the pandemic of 2020, Online learning platforms have boomed. People worldwide are eager to learn and explore new things during their free time. Also, with this emerging world of technologies, contents are available online for free but present in huge chunks. This freely available content is cluttered, due to which many people face problems in reaching their goals with proper guidance free of cost. Speaking of E-Learning, it is mainly focused on two students, i.e., a) Traditional people who only gain knowledge before jumping to professional life, and the other student is b) Workers who have prior knowledge but need to improve what they already have to keep up with the job requirement, this learning can be called lifelong learning. There are several resources for learning as a result of technological innovation. different sources for learning, i.e., For notes, there are many resources and learning from video sources there are countless numbers of video content which leads users to churn from one source to another and thus leads to distraction from goal without any proper guidance. To overcome this, we build a course recommendation system that will help learners choose the right a ?.

Keywords : E-Learning, Online Course Recommendation System.

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