3rd African International Conference on Industrial Engineering and Operations Management

A Proposed Decision Matrix on Student Engagement for Engineering Online Learning using Factor Analysis and Analytical Hierarchy Process

Marshal Tan, Lou Palacio, Daniella Santos, Jeremy Santos, Joehanna Ngo & Gabriel Bucu
Publisher: IEOM Society International
0 Paper Citations
Track: Undergraduate Student Paper Competition

There were many attempts to establish online learning in the education system that solely conducted the traditional face-to-face way of teaching and learning over the course of time. The expeditious development of the digital age made online learning emerge along with difficulties in dealing with engagement and misbehavior that is unique to the online environment. The study aimed to propose a decision matrix with respect to laboratory, lecture, assessment, and examination that will support and enhance the student engagement of students in an online learning set-up.  Additionally, the study also identified the common misbehaviors that students portrayed in an online set-up. The target respondents of the study are Engineering students and instructors across Metro Manila. Data collection was done via survey questionnaire for the students which were analyzed through Exploratory Factor Analysis (EFA). Moreover, an expert interview was conducted for the instructors to complete the Analytical Hierarchy Process (AHP) which was utilized to determine the most preferred component per criterion; laboratory prefers Collaboration with Peers, lecture prefers Student Support, assessment prefers Accessibility to Course Materials, and examination prefers Student Support. Common misbehaviors of Engineering students were also found to be present and common to most of the respondents.

Published in: 3rd African International Conference on Industrial Engineering and Operations Management, Nsukka, Nigeria

Publisher: IEOM Society International
Date of Conference: April 5-7, 2022

ISBN: 978-1-7923-9157-6
ISSN/E-ISSN: 2169-8767