A survey on Students' Academic Performance in Smart Campuses
Keywords:
Smart campus, performance, predictAbstract
Ezugwu* Assumpta, Nweke Onyinye, Aneke Stephen
The concept and issue of a smart campus have received broad discussions and are now open knowledge. It typically comprises a network of people, devices (mobile and non-mobile), and 'things' (with connecting abilities) which are powered by the Internet of Things (IoT). A smart campus was designed to enhance education through the utilization of modern state-of-the-art machines that employ the use of recent technologies to bring about effective learning and management of the educational sector. This work aimed at surveying existing works to determine students’ academic performances in a smart campus. A survey was carried out on publications on smart campus from 2000 to 2021, then on academic performance. It was discovered that infrastructure and resource management attracted more publications while governance attracted the least. It was equally discovered that most academic performance predictions centered on cumulative grade point(average) (CGP(A)) as the parametric determinant.
Downloads
Published
Issue
Section
Similar Articles
- F. S. Bakpo, A Petri Net Computational Model for Web-based Students Attendance Monitoring , Communication In Physical Sciences: Vol. 1 No. 1 (2010): VOLUME 1 ISSUE 1
- Muhammad Bello, Musa Bello, Dunah Lawissense Godfrey, Effect of Multimedia-Enriched Lecture Method on Retention Among Secondary School Physics Students in Kano Metropolis, Nigeria , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- A. E. Usoro, Comparing the Performance of Alternative Generalised Autoregressive Conditional Heteroskedasticity Models in Modelling Nigeria Crude Oil Production Volatility Series , Communication In Physical Sciences: Vol. 4 No. 2 (2019): VOLUME 4 ISSUE 2
- 1. Anthony I. G. Ekedegwa, Evans Ashiegwuike, Enhanced Firefly Algorithm Inspired by Cell Communication Mechanism and Genetic Algorithm for Short-Term Electricity Load Forecasting , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- 1. Olowonefa Richard, 2. Auduson, Aaron Enechojo, Ologe Oluwatoyin, 4. Yusuf Odunsanwo , 5. Agbane Isaac Ojodomo, Geomechanical Characterization and In-Situ Stresses Analysis for Predicting CO₂ Storage Potential: A Case Study of Toba Field, Niger Delta , Communication In Physical Sciences: Vol. 12 No. 5 (2025): Vol 12 ISSUE 5
- Sameul Awolumat, Baernadette Tosan Fregene, Temporal Variability and Predictors of Fish Catch (2009-2011) in the Niger and Benue Rivers: Implications for Contemporary Natural Resources Management in Kogi State, Nigeria , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- Oyakojo Emmanuel Oladipupo, Abdulahi Opejin, Jerome Nenger, Ololade Sophiat Alaran, Coastal Hazard Risk Assessment in a Changing Climate: A Review of Predictive Models and Emerging Technologies , Communication In Physical Sciences: Vol. 12 No. 6 (2025): Volume 12 ISSUE 6
- Emmanuel John Ekpenyong, Evaluating The Performances of Estimators of Population Mean Weight of Babies in FMC, Imo State Under Simple Random Sampling Scheme , Communication In Physical Sciences: Vol. 12 No. 1 (2024): VOLUME 12 ISSUE 1
- Humphrey Sam Samuel , Emmanuel Edet Etim, John Paul Shinggu, Bulus Bako, Machine Learning in Thermochemistry: Unleashing Predictive Modelling for Enhanced Understanding of Chemical Systems , Communication In Physical Sciences: Vol. 11 No. 1 (2024): VOLUME 11 ISSUE 1
You may also start an advanced similarity search for this article.



