Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning

by Charles Darko *

 Department of Materials, The University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom

* Author to whom correspondence should be addressed.

Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 119-133, 2022; DOI: 10.55708/js0105013

Keywords: Blackboard Learning Management System, Lecture Engagement, Material Science and Engineering students, Cognitive learning theory

Received: 23 January 2022, Accepted: 23 April 2022, Published Online: 12 May 2022

JENRS

AMA Style

Chicago/Turabian Style

IEEE Style

220 Downloads

This sidebar is currently being updated and may temporarily overlap with the pages.

Journal Menu
Journal Browser

Vol. 1 (2022)     Vol. 2 (2023)
Vol. 3 (2024)