Building a Dataset for Personalized Learning Recommendation System

Thoufeeq Ahmed Syed, Vasile Palade, Rahat Iqbal, Smitha Sunil Kamaran Nair

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

In the last decade many researchers have developed recommendation systems (RSs) for technology enhanced learning (TEL) but only a few of them validated these RSs based on real time scenarios. Researchers raised the issue of missing datasets for RSs in TEL that can be used as benchmarks to compare different recommendation building approaches. Also, the availability of benchmark datasets helps in evaluating the recommendation algorithms and draw stronger conclusions about the effectiveness of such recommendation algorithms. In this paper, the issues of missing benchmark datasets for personalized recommendation systems that include social interaction through learner networks have been investigated. The paper proposes a methodology for building our own collaborative dataset via learning management systems (LMS) and educational repositories. This dataset will enhance student learning by recommending relevant learning materials from the former student's competence qualifications and also validate the proposed learning recommendation system. The planned dataset offer resources and information on the usage of more than 22,785 resources from 658 courses apart from data from social learner networks (blogs, wikis, chats and forums), which adds another 5,400 stored files in LMS database. Further, we also examined the challenges that exist in building and sharing such datasets which can be used by the TEL RSs community.
Original languageEnglish
Title of host publication 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
PublisherIEEE
Pages2080 - 2086
Number of pages7
ISBN (Electronic)978-1-5386-5314-2
ISBN (Print)978-1-5386-5315-9
DOIs
Publication statusPublished - 3 Dec 2018
Event7th International Conference on Advances in Computing, Communications and Informatics - Bangalore, India
Duration: 19 Sep 201822 Sep 2018
Conference number: 7th
http://icacci-conference.org/2018/

Conference

Conference7th International Conference on Advances in Computing, Communications and Informatics
Abbreviated title ICACCI'18
CountryIndia
CityBangalore
Period19/09/1822/09/18
Internet address

Keywords

  • Technology Enhanced Learning
  • Recommendation Systems
  • Dataset
  • Learning Management Systems
  • Social Learner's Networks Data

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