# Big Data and Analytics Implementation in Tertiary Institutions to Predict Students Performance in Nigeria

arXiv: https://arxiv.org/abs/2207.14677 · HTML: https://mlsanity.com/paper/2207.14677/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 24 references that are in the map.
- First posted on arXiv 29 Jul 2022.

## Builds on (most cited first, 1 of 1)

- [Data-Driven Innovation: What Is It](https://mlsanity.com/paper/2201.08184/) (2022)

## Built on by (most cited first, 3 of 3)

- [YOLO v3: Visual and Real-Time Object Detection Model for Smart Surveillance Systems(3s)](https://mlsanity.com/paper/2209.12447/) (2022)
- [AI in Telemedicine: An Appraisal on Deep Learning-Based Approaches to Virtual Diagnostic Solutions (VDS)](https://mlsanity.com/paper/2208.04690/) (2022)
- [Mapping Computer Science Research: Trends, Influences, and Predictions](https://mlsanity.com/paper/2308.00733/) (2023)

## Abstract (arXiv)

The term Big Data has been coined to refer to the gargantuan bulk of data that cannot be dealt with by traditional data-handling techniques. Big Data is still a novel concept, and in the following literature, we intend to elaborate on it in a palpable fashion. It commences with the concept of the subject in itself, along with its properties and the two general approaches to dealing with it. Big Data provides an opportunity for educational Institutions to use their Information Technology resources strategically to improve educational quality, guide students to higher completion rates and improve student persistence and outcomes. This paper explores the attributes of big data that are relevant to educational institutions, investigates the factors influencing the adoption of big data and analytics in learning institutions, and seeks to establish the limiting factors hindering the use of big data in Institutions of higher learning. A survey research design was adopted in conducting this research, and Questionnaires were the instrument employed for data collection.