A Comprehensive Analysis of Information Quality in E-Learning: An Example of Online Learning with Brainly

Koko Srimulyo, Imam Yuadi, Chih Chien Hu, Imroatus Sholehah Afifah Indarwati, Endang Gunarti, Friska Dwi Pratiwi

Research output: Contribution to journalArticlepeer-review

Abstract

Evaluating information quality within these applications becomes paramount to ensure student satisfaction, involving assessments of completeness, relevance, and other factors. To address this concern, the study employs the quality of information system (QIS) model, focusing on characteristics that enhance the value of information. An analysis, grounded in time, content, and form dimensions, offers a comprehensive and quantitative understanding of the current state of information quality in e-learning applications such as Brainly. Consequently, many students in various regions, particularly Madiun, expressed satisfaction with the time, content, and form of the information provided by Brainly, resulting in an information quality score of 81%. This study contributes to the dimensions of time and form within the Brainly application. Emphasizing these dimensions yields valuable insights into the application’s advantages from the users’ perspective and provides recommendations for enhancing the Brainly application’s capacity to deliver timely information and offer a user-friendly experience.

Original languageEnglish
Pages (from-to)3205-3220
Number of pages16
JournalTEM Journal
Volume13
Issue number4
DOIs
Publication statusPublished - Nov 2024

Keywords

  • e-learning
  • Information quality
  • library management
  • quality education
  • quality of information systems

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