Work

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

Year: 2024

Type: article

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.

Source: TEM Journal

DOI: 10.18421/tem134-55

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

Institutions: Universitas Airlangga, Tatung University

Language: English

Topic: Data Quality and Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $647