MOOCMaven: Bridging M-Learning and Open Data for Enhanced Unified MOOC Exploration

Authors

DOI:

https://doi.org/10.3991/ijim.v17i20.42445

Keywords:

unified moocs, natural language processing, semantic search engine, mobile educational technology, m-learning application

Abstract


We live in a modern environment where learning does not have any barriers. Our work aims to become the main gateway for people of any interest to take advantage of the full opportunities of e-learning. We also built a dataset of e-learning courses from various sources and developed a platform that can understand search queries. We introduce a unified massive open online courses (MOOCs) searching platform using semantic methodology called MOOCMaven. Our platform can be accessed both via web and mobile. This paper demonstrates the platform’s efficiency in generating a list of courses relevant to search queries. Additionally, MOOCMaven offers an application programming interface (API) collection to ensure access to the data. Our approach could find the gaps in e-learning course discovery and highlight the solution to the public. This paper provides a detailed description of the algorithms, methodologies, and technologies utilized to augment the usefulness and efficacy of the platform.

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Published

2023-11-03

How to Cite

Tatang, A. F., & Algarni, A. M. (2023). MOOCMaven: Bridging M-Learning and Open Data for Enhanced Unified MOOC Exploration. International Journal of Interactive Mobile Technologies (iJIM), 17(20), pp. 4–20. https://doi.org/10.3991/ijim.v17i20.42445

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Section

Papers