Assessing the Level of Awareness and Usage of E-Learning Platforms by Teachers and Students of Chemistry in Fce, Zaria, During the Covid -19 Era
Keywords:
Assessing, level of awareness, usage of e-learning, Teachers, Students, Chemistry, COVID-19Abstract
This study examined the use and frequency of e-learning platforms among Chemistry students and lecturers at the Federal College of Education (FCE), Zaria, using a descriptive survey design. Data were collected from 103 respondents through a structured Likert-scale questionnaire and analyzed using means, standard deviations, t-tests, and p-values. The results revealed that 91.3% of respondents owned Android phones, with moderate use for learning purposes (M = 1.89, SD = 0.451), while 61.1% used laptops (M = 3.11, SD = 1.011). Social media platforms such as Facebook (M = 4.11, SD = 0.342, p = 0.000), Twitter (M = 4.21, SD = 0.320, p = 0.000), and YouTube (M = 4.01, SD = 0.567, p = 0.000) were more frequently used than formal educational platforms like Google Classroom. The findings also indicated that students engaged more actively with e-learning platforms than lecturers (students: M = 15.783, SD = 2.669, t = 17.338; lecturers: M = 9.227, SD = 1.560, t = 32.375). These results suggest a strong reliance on informal platforms for academic purposes and a gap in the institutional adoption of structured e-learning tools. Based on these findings, it is recommended that the institution invest in digital training programs to enhance staff and student proficiency with formal e-learning platforms, improve internet accessibility on campus, and integrate commonly used social platforms into structured learning systems to bridge the digital engagement gap. These recommendations align with current studies emphasizing the need for a blended approach to digital education
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Most read articles by the same author(s)
- Jeremiah Makarau Iliya, Johnson Adeniyi Babafemi, Ibrahim Aliyu Mohammed, Survey of Difficult Concepts in Chemistry Among Secondary School Students in Zaria Local Government Area, Kaduna State, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
Similar Articles
- Amarachi Nelly Charles, Oluwabukola Victoria Akinyemi, Chinyan Blessing, AI-Enabled Marketing Communication and Machine Learning Analytics for Consumer Insights, Brand Positioning, and Business Growth , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Idongesit Bassey Anweting, Ahmed Adetoro, Bako Myek, Asiwe Thomas Ndidi, Kinetics of Redox Reactions between Tetrakis (2, 2ˈ- bipyridine)-µ- oxodiiron (III) Complex and Two Derivatives of Thiourea in Aqueous Acidic Medium , Applied Science, Computing, and Energy: Vol. 4 No. 3 (2026): Volume 4, Issue 3
- Edoise Areghan , Osondu Onwuegbuchi, Predictive Cyber Threat Analysis in Cloud Platforms Using Artificial Intelligence and Machine Learning Algorithms , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Amos Abba, Data, Democracy, and Deep Learning: The Transformative Role of AI in Digital Journalism , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Abubakar Tahiru, Oluwasanmi M. Odeniran, The Application of Artificial Intelligence to Develop Predictive models that Improve Harvesting Efficiency while Protecting biodiversity in Sustainable Forest Ecosystems. , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Emmanuel O. Okorodudu, Kenneth A. Ibe, Ivwurie Wisdom, Bamidele H. Akpeji, Kinetic Behavior and Rate-Controlling Mechanisms Governing the Simultaneous Sequestration of Polycyclic Aromatic Hydrocarbons (PAHs) and Heavy Metals in Contaminated Soil Using Bone Biochar over Extended Contact Time , Applied Science, Computing, and Energy: Vol. 4 No. 3 (2026): Volume 4, Issue 3
- Joy Nnenna Okolo, Abdulaziz Olaleye Ibiyeye, Ekene Adim, Samuel Adetayo Adeniji, An Extensive Review of Artificial Intelligence Utilization in Data Science for Strengthened Cybersecurity Analytics, Predictive Threat Assessment, and Advanced Risk Management Strategies , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Augustine Avwerosuo Chokor, Thomas Ohwofasa Ikpesu, Thompson Faraday Ediagbonya, Chimezie Nathaniel Achugwo, Concentrations, Profiles, Health Risk Assessment, and Source Identification of Polycyclic Aromatic Hydrocarbons (PAHs) in Four Species of Fishes from Oil Impacted Communities in Ogbia LGA, Bayelsa, Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 1 (2026): Volume 4 Issue 1
- Precious Mkpouto Akpan, Adewunmi O. Wale-Akinrinde, Toluwalase Damilola Osanyingbemi, Chinelo E. Okonkwo, Oluwapelumi Adebukola Fadairo, Adaptive Product Growth Models Powered by Predictive Analytics and Organization Risk Signals , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Adewunmi O. Wale-Akinrinde, Toluwalase Damilola Osanyingbemi, Oluwapelumi Adebukola Fadairo, Precious Mkpouto Akpan, Real- Time Bi-enhanced Product Performance Intelligence for Driving Sustainable Business Expansion , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
You may also start an advanced similarity search for this article.