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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Pages (from-to)4-20
Number of pages17
JournalInternational Journal of Interactive Mobile Technologies
Volume17
Issue number20
DOIs
StatePublished - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 by the authors of this article. Published under CC-BY.

Keywords

  • m-learning applications
  • mobile educational technology
  • natural language processing (NLP)
  • semantic search engines
  • unified massive open online courses (MOOCs)

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'MOOCMaven: Bridging M-Learning and Open Data for Enhanced Unified MOOC Exploration'. Together they form a unique fingerprint.

Cite this