INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026
channels such as WhatsApp, Telegram, Zoom, Google Meet, Google Classroom, and its institutional Learning
Management System LMS for lectures, assignments, announcements, and student-lecturer interaction (Adegoke
& Adegoke, 2024). A survey by (Adeoye et al. 2024) in Southwest Nigeria found that 92% of university students
own smartphones and spend 5-7 hours daily on digital platforms, with WhatsApp as the dominant app.
Effective communication in academics means exchange of information that is accurate, timely, clearly
understood, and produces intended learning outcomes (Hargie, 2021). Electronic communication in universities
occurs through four main types: Synchronous Communication - Real-time interaction where participants are
online simultaneously. Examples: Zoom, Google Meet, Microsoft Teams. Its strength lies on immediate
feedback, verbal and non-verbal cues, and high media richness (Daft & Lengel, 1986). This type of
communication requires stable data and scheduled time; Asynchronous Communication - Time-lagged
interaction with delayed responses. Examples: WhatsApp, Telegram, Email, LMS forums. Its strength lies on
flexibility and time for reflection.
This type of communication delays, misinterpretation, message pile-up (Kumi-Yeboah et al., 2023); One-to-
Many Communication - Broadcast from one source to many receivers. Examples: bulk SMS, Telegram channels,
LMS announcements from lecturers/admin to students; Many-to-Many Communication - Interactive exchange
among multiple users. Examples: WhatsApp group chats, Google Docs collaboration. This type of
communication dominates student peer interaction at EKSU (Adeoye et al., 2024). At EKSU, lecturers report
problems of repeated questions already answered in chats, use of slang during academic discussions, sharing of
unverified materials, and late-night messages that disrupt learning (Owolabi & Olaniyi, 2024). Students
complain of “too many unofficial groups”, missed deadlines due to network failure, information overload, and
delayed feedback from lecturers (Ogunyemi & Bisiriyu, 2023). These challenges are significant because
electronic communication now mediates grades, participation, and collaboration. Poor mediation can cause
cognitive overload (Sweller, 2022) and widen the digital divide between students with good access and those
without (World Bank, 2024).
Media Richness Theory (MRT) (Daft & Lengel, 1986) provides a theoretical lens. MRT argues that
communication media vary in “richness” based on feedback immediacy, number of cues, and personal focus.
Richer media like video conferencing are better for ambiguous, complex tasks than leaner media like text chat.
Thus, Zoom should be more effective than WhatsApp for explaining difficult concepts. Empirical studies partly
support this. (Kumi-Yeboah et al. 2023) in Ghana found that students rated synchronous platform higher for
engagement than asynchronous platform. In Nigeria, (Adeoye et al. 2024) reported that LMS discussion boards
improved critical thinking when lecturers moderated actively.
The Nigerian context presents unique constraints. The World Bank 2024 reported that 1GB of data in Nigeria
costs 0.78% of average monthly income, higher than in South Africa or Kenya. This economic barrier limits
participation in data-intensive platforms. Additionally, (Eshet-Alkalai 2023) noted that digital literacy which is
the ability to find, evaluate, and communicate information online is often low among African students, leading
to misuse of platforms. Netiquette, or acceptable online behavior, is another concern. (Owolabi & Olaniyi 2024)
found that 67% of students in Osun State universities lacked formal training on netiquette, resulting in
cyberbullying and conflict in class groups.
The Technology Acceptance Model (TAM) (Davis, 1989) further concretize this adoption. TAM posits that
perceived usefulness and perceived ease of use determine actual use and effectiveness. If EKSU’s LMS is
perceived as difficult to navigate, students will default to WhatsApp regardless of academic suitability (Davis,
1989).
Despite high smartphone penetration, there is limited empirical data on what constitutes effective electronic
communication specifically for EKSU students. Most Nigerian studies focus on Southwest universities broadly
(Adeoye et al., 2024) or on post-COVID e-learning generally (Ogunyemi & Bisiriyu, 2023), without testing how
digital literacy, internet access, and lecturer responsiveness jointly predict communication effectiveness. This
gap limits EKSU management’s ability to develop targeted policies. Therefore, this study investigates effective
communication in electronic environments among EKSU students.