UMP Institutional Repository

A novel Learning Engagement Data Model (LEDM) for online attendance system

Aziman, Abdullah and Asar, Abdul Karim and Nur Alnisa’ Anis Alanna, Ruzelan (2020) A novel Learning Engagement Data Model (LEDM) for online attendance system. In: IOP Conference Series: Materials Science and Engineering, The 6th International Conference on Software Engineering & Computer Systems, 25-27 September 2019 , Pahang, Malaysia. pp. 1-8., 769 (012026). ISSN 1757-899X

[img]
Preview
Pdf
21. A Novel Learning Engagement Data Model (LEDM) for online attendance system.pdf
Available under License Creative Commons Attribution.

Download (753kB) | Preview

Abstract

Student engagement is a very interesting subject in higher education. While many studies assess student engagement through survey, this approach claimed in literatures is lack of contextual analysis for decision making. Our motivation in this study is to integrate a simple way to assess student engagement of face-to-face session in blended learning approach within the online attendance system by identifying the data model supporting insightful analytics. This study aims to propose a new learning engagement data model incorporating behaviour, emotional and cognitive engagement for online attendance system. We found an interesting insight which there is a relationship of student engagements with the learning outcomes attainment. Initial findings in this study show potential values how our proposal may benefit higher education in adopting smarter way to measure student engagement while taking student attendance during face-to-face session in blended learning implementation.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Learning Engagement Data Model (LEDM); Insightful analytics; Contextual analysis
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Computing
Institute of Postgraduate Studies
Center for Human Sciences
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 19 Nov 2020 03:59
Last Modified: 19 Nov 2020 03:59
URI: http://umpir.ump.edu.my/id/eprint/29642
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item