DIGITAL LIBRARY
DIAGNOSTIC ASSESSMENT OF SOUTHWESTERN NIGERIAN UNIVERSITY LECTURERS’ ACCEPTANCE OF YOUTUBE AS A WEB-BASED INSTRUCTIONAL TOOL USING UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) MODEL
Obafemi Awolowo University (NIGERIA)
About this paper:
Appears in: INTED2020 Proceedings
Publication year: 2020
Pages: 9549-9558
ISBN: 978-84-09-17939-8
ISSN: 2340-1079
doi: 10.21125/inted.2020.1947
Conference name: 14th International Technology, Education and Development Conference
Dates: 2-4 March, 2020
Location: Valencia, Spain
Abstract:
The study determined the level of awareness, the effort expectancy, and performance expectancy as well as investigated the conditions that facilitate effective use of YouTube as a web-based instructional tool by the lecturers in the southwestern Nigeria universities. This is to assess the entry characteristics of the lecturers in accepting YouTube as a veritable tools in online instructions at the region. The study employed the descriptive survey research design. The population of the study comprised all lecturers in the southwestern part of Nigeria. Three universities from the region were purposively selected based on the 2015 webometric ranking. The research was premised on Unified Theory and Acceptance and Use of Technology (UTAUT) Model. Analysis of data from the study revealed that the lecturers had high level of awareness of YouTube as an instructional tool (×̅=3.14, sd=0.61). The effort expectancy (×̅=3.20, sd=0.42) as well as the performance expectancy (×̅=3.12, sd=0.56) of the tool by the lecturers were also high. Low bandwidth (77.50%), low hard disk space (75.10%), epileptic electricity supply (78.80%), high cost of required devices (80.10%) and technical know-how (73.80%) were the identified conditions that can hinder the lecturers acceptance of YouTube for online instructional purposes. The study therefore concluded that Southwestern Nigerian lecturers are prone to accepting YouTube as a web-based instructional tool.
Keywords:
YouTube, Lecturers’ Perception, Effort Expectancy, Performance Expectancy, Online Learning.