Machine Learning based MOOC Course Recommendation System

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ID: 310442
2023
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Abstract
The use of Massive Open Online Courses (MOOCs) by students to advance their knowledge and abilities has grown in popularity in the modern world. Students may find it challenging to select the best course for their needs due to the variety of online learning platforms and courses. In this project, we suggest a mechanism for recommending Mooc courses that will assist students in finding the most appropriate course for a certain subject. According to user reviews, the algorithm will trawl through different online learning sites and choose courses. To help students choose the best courses, the recommendation system will take into account variables including subject, level of difficulty, course length, and course rating. Students can save time and effort in looking for the appropriate information by utilizing this approach. The suggested system may be a useful resource for helping students choose top-notch courses that fit their learning goals.
Reference Key
imported_1768932973_696fc66d84700 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ujwala Ravale
Journal International Journal of Science and Social Science Research
Year 2023
DOI
10.5281/zenodo.13623168
URL
https://www.ijsssr.com/j/article/view/67
Keywords Keywords not found

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