A new model of students participation measurement in e-learning systems based on meaningful learning characteristics: An initial investigation

Andi Tenriawaru*, Arif Djunaidy, Daniel Siahaan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

E-learning systems have been used widely in an education system. A lot of research works have been carried out to improve their features functionalities, such as student's behavior observation, e-learning platform enhancement, and other related factors. This paper presents an initial investigation of a new model to measure student's participation during their activities inside an e-learning system. The measurement of student's participation is piloted by calculating the semantic score of relationships that may exist between e-learning activities and meaningful learning characteristics. The proposed model is expected to provide some benefits on measuring the level of student's engagement with meaningful learning characteristics in order to produce better e-learning systems.

Original languageEnglish
Title of host publicationProceedings of 2014 2nd International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-99
Number of pages4
ISBN (Electronic)9781479948055
DOIs
Publication statusPublished - 15 Jan 2015
Event2014 2nd International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2014 - Bandung, Indonesia
Duration: 19 Aug 201421 Aug 2014

Publication series

NameProceedings of 2014 2nd International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2014

Conference

Conference2014 2nd International Conference on Technology, Informatics, Management, Engineering and Environment, TIME-E 2014
Country/TerritoryIndonesia
CityBandung
Period19/08/1421/08/14

Keywords

  • e-learning
  • meaningful learning
  • participation measurement
  • semantic similarity

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