- Blog Categories
- Software Development Projects and Ideas
- 12 Computer Science Project Ideas
- 28 Beginner Software Projects
- Top 10 Engineering Project Ideas
- Top 10 Easy Final Year Projects
- Top 10 Mini Projects for Engineers
- 25 Best Django Project Ideas
- Top 20 MERN Stack Project Ideas
- Top 12 Real Time Projects
- Top 6 Major CSE Projects
- 12 Robotics Projects for All Levels
- Java Programming Concepts
- Abstract Class in Java and Methods
- Constructor Overloading in Java
- StringBuffer vs StringBuilder
- Java Identifiers: Syntax & Examples
- Types of Variables in Java Explained
- Composition in Java: Examples
- Append in Java: Implementation
- Loose Coupling vs Tight Coupling
- Integrity Constraints in DBMS
- Different Types of Operators Explained
- Career and Interview Preparation in IT
- Top 14 IT Courses for Jobs
- Top 20 Highest Paying Languages
- 23 Top CS Interview Q&A
- Best IT Jobs without Coding
- Software Engineer Salary in India
- 44 Agile Methodology Interview Q&A
- 10 Software Engineering Challenges
- Top 15 Tech's Daily Life Impact
- 10 Best Backends for React
- Cloud Computing Reference Models
- Web Development and Security
- Find Installed NPM Version
- Install Specific NPM Package Version
- Make API Calls in Angular
- Install Bootstrap in Angular
- Use Axios in React: Guide
- StrictMode in React: Usage
- 75 Cyber Security Research Topics
- Top 7 Languages for Ethical Hacking
- Top 20 Docker Commands
- Advantages of OOP
- Data Science Projects and Applications
- 42 Python Project Ideas for Beginners
- 13 Data Science Project Ideas
- 13 Data Structure Project Ideas
- 12 Real-World Python Applications
- Python Banking Project
- Data Science Course Eligibility
- Association Rule Mining Overview
- Cluster Analysis in Data Mining
- Classification in Data Mining
- KDD Process in Data Mining
- Data Structures and Algorithms
- Binary Tree Types Explained
- Binary Search Algorithm
- Sorting in Data Structure
- Binary Tree in Data Structure
- Binary Tree vs Binary Search Tree
- Recursion in Data Structure
- Data Structure Search Methods: Explained
- Binary Tree Interview Q&A
- Linear vs Binary Search
- Priority Queue Overview
- Python Programming and Tools
- Top 30 Python Pattern Programs
- List vs Tuple
- Python Free Online Course
- Method Overriding in Python
- Top 21 Python Developer Skills
- Reverse a Number in Python
- Switch Case Functions in Python
- Info Retrieval System Overview
- Reverse a Number in Python
- Real-World Python Applications
- Data Science Careers and Comparisons
- Data Analyst Salary in India
- Data Scientist Salary in India
- Free Excel Certification Course
- Actuary Salary in India
- Data Analyst Interview Guide
- Pandas Interview Guide
- Tableau Filters Explained
- Data Mining Techniques Overview
- Data Analytics Lifecycle Phases
- Data Science Vs Analytics Comparison
- Artificial Intelligence and Machine Learning Projects
- Exciting IoT Project Ideas
- 16 Exciting AI Project Ideas
- 45+ Interesting ML Project Ideas
- Exciting Deep Learning Projects
- 12 Intriguing Linear Regression Projects
- 13 Neural Network Projects
- 5 Exciting Image Processing Projects
- Top 8 Thrilling AWS Projects
- 12 Engaging AI Projects in Python
- NLP Projects for Beginners
- Concepts and Algorithms in AIML
- Basic CNN Architecture Explained
- 6 Types of Regression Models
- Data Preprocessing Steps
- Bagging vs Boosting in ML
- Multinomial Naive Bayes Overview
- Gini Index for Decision Trees
- Bayesian Network Example
- Bayes Theorem Guide
- Top 10 Dimensionality Reduction Techniques
- Neural Network Step-by-Step Guide
- Technical Guides and Comparisons
- Make a Chatbot in Python
- Compute Square Roots in Python
- Permutation vs Combination
- Image Segmentation Techniques
- Generative AI vs Traditional AI
- AI vs Human Intelligence
- Random Forest vs Decision Tree
- Neural Network Overview
- Perceptron Learning Algorithm
- Selection Sort Algorithm
- Career and Practical Applications in AIML
- AI Salary in India Overview
- Biological Neural Network Basics
- Top 10 AI Challenges
- Production System in AI
- Top 8 Raspberry Pi Alternatives
- Top 8 Open Source Projects
- 14 Raspberry Pi Project Ideas
- 15 MATLAB Project Ideas
- Top 10 Python NLP Libraries
- Naive Bayes Explained
- Digital Marketing Projects and Strategies
- 10 Best Digital Marketing Projects
- 17 Fun Social Media Projects
- Top 6 SEO Project Ideas
- Digital Marketing Case Studies
- Coca-Cola Marketing Strategy
- Nestle Marketing Strategy Analysis
- Zomato Marketing Strategy
- Monetize Instagram Guide
- Become a Successful Instagram Influencer
- 8 Best Lead Generation Techniques
- Digital Marketing Careers and Salaries
- Digital Marketing Salary in India
- Top 10 Highest Paying Marketing Jobs
- Highest Paying Digital Marketing Jobs
- SEO Salary in India
- Brand Manager Salary in India
- Content Writer Salary Guide
- Digital Marketing Executive Roles
- Career in Digital Marketing Guide
- Future of Digital Marketing
- MBA in Digital Marketing Overview
- Digital Marketing Techniques and Channels
- 9 Types of Digital Marketing Channels
- Top 10 Benefits of Marketing Branding
- 100 Best YouTube Channel Ideas
- YouTube Earnings in India
- 7 Reasons to Study Digital Marketing
- Top 10 Digital Marketing Objectives
- 10 Best Digital Marketing Blogs
- Top 5 Industries Using Digital Marketing
- Growth of Digital Marketing in India
- Top Career Options in Marketing
- Interview Preparation and Skills
- 73 Google Analytics Interview Q&A
- 56 Social Media Marketing Q&A
- 78 Google AdWords Interview Q&A
- Top 133 SEO Interview Q&A
- 27+ Digital Marketing Q&A
- Digital Marketing Free Course
- Top 9 Skills for PPC Analysts
- Movies with Successful Social Media Campaigns
- Marketing Communication Steps
- Top 10 Reasons to Be an Affiliate Marketer
- Career Options and Paths
- Top 25 Highest Paying Jobs India
- Top 25 Highest Paying Jobs World
- Top 10 Highest Paid Commerce Job
- Career Options After 12th Arts
- Top 7 Commerce Courses Without Maths
- Top 7 Career Options After PCB
- Best Career Options for Commerce
- Career Options After 12th CS
- Top 10 Career Options After 10th
- 8 Best Career Options After BA
- Projects and Academic Pursuits
- 17 Exciting Final Year Projects
- Top 12 Commerce Project Topics
- Top 13 BCA Project Ideas
- Career Options After 12th Science
- Top 15 CS Jobs in India
- 12 Best Career Options After M.Com
- 9 Best Career Options After B.Sc
- 7 Best Career Options After BCA
- 22 Best Career Options After MCA
- 16 Top Career Options After CE
- Courses and Certifications
- 10 Best Job-Oriented Courses
- Best Online Computer Courses
- Top 15 Trending Online Courses
- Top 19 High Salary Certificate Courses
- 21 Best Programming Courses for Jobs
- What is SGPA? Convert to CGPA
- GPA to Percentage Calculator
- Highest Salary Engineering Stream
- 15 Top Career Options After Engineering
- 6 Top Career Options After BBA
- Job Market and Interview Preparation
- Why Should You Be Hired: 5 Answers
- Top 10 Future Career Options
- Top 15 Highest Paid IT Jobs India
- 5 Common Guesstimate Interview Q&A
- Average CEO Salary: Top Paid CEOs
- Career Options in Political Science
- Top 15 Highest Paying Non-IT Jobs
- Cover Letter Examples for Jobs
- Top 5 Highest Paying Freelance Jobs
- Top 10 Highest Paying Companies India
- Career Options and Paths After MBA
- 20 Best Careers After B.Com
- Career Options After MBA Marketing
- Top 14 Careers After MBA In HR
- Top 10 Highest Paying HR Jobs India
- How to Become an Investment Banker
- Career Options After MBA - High Paying
- Scope of MBA in Operations Management
- Best MBA for Working Professionals India
- MBA After BA - Is It Right For You?
- Best Online MBA Courses India
- MBA Project Ideas and Topics
- 11 Exciting MBA HR Project Ideas
- Top 15 MBA Project Ideas
- 18 Exciting MBA Marketing Projects
- MBA Project Ideas: Consumer Behavior
- What is Brand Management?
- What is Holistic Marketing?
- What is Green Marketing?
- Intro to Organizational Behavior Model
- Tech Skills Every MBA Should Learn
- Most Demanding Short Term Courses MBA
- MBA Salary, Resume, and Skills
- MBA Salary in India
- HR Salary in India
- Investment Banker Salary India
- MBA Resume Samples
- Sample SOP for MBA
- Sample SOP for Internship
- 7 Ways MBA Helps Your Career
- Must-have Skills in Sales Career
- 8 Skills MBA Helps You Improve
- Top 20+ SAP FICO Interview Q&A
- MBA Specializations and Comparative Guides
- Why MBA After B.Tech? 5 Reasons
- How to Answer 'Why MBA After Engineering?'
- Why MBA in Finance
- MBA After BSc: 10 Reasons
- Which MBA Specialization to choose?
- Top 10 MBA Specializations
- MBA vs Masters: Which to Choose?
- Benefits of MBA After CA
- 5 Steps to Management Consultant
- 37 Must-Read HR Interview Q&A
- Fundamentals and Theories of Management
- What is Management? Objectives & Functions
- Nature and Scope of Management
- Decision Making in Management
- Management Process: Definition & Functions
- Importance of Management
- What are Motivation Theories?
- Tools of Financial Statement Analysis
- Negotiation Skills: Definition & Benefits
- Career Development in HRM
- Top 20 Must-Have HRM Policies
- Project and Supply Chain Management
- Top 20 Project Management Case Studies
- 10 Innovative Supply Chain Projects
- Latest Management Project Topics
- 10 Project Management Project Ideas
- 6 Types of Supply Chain Models
- Top 10 Advantages of SCM
- Top 10 Supply Chain Books
- What is Project Description?
- Top 10 Project Management Companies
- Best Project Management Courses Online
- Salaries and Career Paths in Management
- Project Manager Salary in India
- Average Product Manager Salary India
- Supply Chain Management Salary India
- Salary After BBA in India
- PGDM Salary in India
- Top 7 Career Options in Management
- CSPO Certification Cost
- Why Choose Product Management?
- Product Management in Pharma
- Product Design in Operations Management
- Industry-Specific Management and Case Studies
- Amazon Business Case Study
- Service Delivery Manager Job
- Product Management Examples
- Product Management in Automobiles
- Product Management in Banking
- Sample SOP for Business Management
- Video Game Design Components
- Top 5 Business Courses India
- Free Management Online Course
- SCM Interview Q&A
- Fundamentals and Types of Law
- Acceptance in Contract Law
- Offer in Contract Law
- 9 Types of Evidence
- Types of Law in India
- Introduction to Contract Law
- Negotiable Instrument Act
- Corporate Tax Basics
- Intellectual Property Law
- Workmen Compensation Explained
- Lawyer vs Advocate Difference
- Law Education and Courses
- LLM Subjects & Syllabus
- Corporate Law Subjects
- LLM Course Duration
- Top 10 Online LLM Courses
- Online LLM Degree
- Step-by-Step Guide to Studying Law
- Top 5 Law Books to Read
- Why Legal Studies?
- Pursuing a Career in Law
- How to Become Lawyer in India
- Career Options and Salaries in Law
- Career Options in Law India
- Corporate Lawyer Salary India
- How To Become a Corporate Lawyer
- Career in Law: Starting, Salary
- Career Opportunities: Corporate Law
- Business Lawyer: Role & Salary Info
- Average Lawyer Salary India
- Top Career Options for Lawyers
- Types of Lawyers in India
- Steps to Become SC Lawyer in India
- Tutorials
- C Tutorials
- Recursion in C: Fibonacci Series
- Checking String Palindromes in C
- Prime Number Program in C
- Implementing Square Root in C
- Matrix Multiplication in C
- Understanding Double Data Type
- Factorial of a Number in C
- Structure of a C Program
- Building a Calculator Program in C
- Compiling C Programs on Linux
- Java Tutorials
- Handling String Input in Java
- Determining Even and Odd Numbers
- Prime Number Checker
- Sorting a String
- User-Defined Exceptions
- Understanding the Thread Life Cycle
- Swapping Two Numbers
- Using Final Classes
- Area of a Triangle
- Skills
- Software Engineering
- JavaScript
- Data Structure
- React.js
- Core Java
- Node.js
- Blockchain
- SQL
- Full stack development
- Devops
- NFT
- BigData
- Cyber Security
- Cloud Computing
- Database Design with MySQL
- Cryptocurrency
- Python
- Digital Marketings
- Advertising
- Influencer Marketing
- Search Engine Optimization
- Performance Marketing
- Search Engine Marketing
- Email Marketing
- Content Marketing
- Social Media Marketing
- Display Advertising
- Marketing Analytics
- Web Analytics
- Affiliate Marketing
- MBA
- MBA in Finance
- MBA in HR
- MBA in Marketing
- MBA in Business Analytics
- MBA in Operations Management
- MBA in International Business
- MBA in Information Technology
- MBA in Healthcare Management
- MBA In General Management
- MBA in Agriculture
- MBA in Supply Chain Management
- MBA in Entrepreneurship
- MBA in Project Management
- Management Program
- Consumer Behaviour
- Supply Chain Management
- Financial Analytics
- Introduction to Fintech
- Introduction to HR Analytics
- Fundamentals of Communication
- Art of Effective Communication
- Introduction to Research Methodology
- Mastering Sales Technique
- Business Communication
- Fundamentals of Journalism
- Economics Masterclass
- Free Courses
Top 5 Interesting Big Data Applications in Education [2024]
Updated on 01 March, 2024
20.81K+ views
• 11 min read
Today everyone is concern to know what is Big Data? as Big Data has changed the way the world used to look at the information. With so much information being generated every second, data scientists are always on their toes to use it to their benefit. Apart from corporates analyzing this data to enhance their business decisions, Big Data is also utilized in the education sector.
Modern institutions use their student data to understand the educational experience of students. This, in turn, helps teachers to educate students better. Big Data is also used for modifying the education system so that students are offered a wholesome learning plan.
Big data is the state-of-the-art technique to collect, allocate, accomplish and discover huge datasets. It uses larger-sized datasets. It uses different patterns which predict data. Big data and education are quite related. This is because educational big data presents several applications that facilitate teaching innovation, educational administration, and research management.
The illustrative examples of the applications focused on using big data in education are student academic performance forecasts, employment endorsement, and monetary support for low-income students. Various empirical studies have demonstrated that student performance can be predicted in the courses during the following term. Currently, predictive research for higher education has become an appealing domain of study because it allows student behaviour prediction.
Today everyone is concern to know what is Big Data? as Big Data has changed the way the world used to look at the information. With so much information being generated every second, data scientists are always on their toes to use it to their benefit. Apart from corporates analyzing this data to enhance their business decisions, Big Data is also utilized in the education sector.
Modern institutions use their student data to understand the educational experience of students. This, in turn, helps teachers to educate students better. Big Data is also used for modifying the education system so that students are offered a wholesome learning plan.
Big data is the state-of-the-art technique to collect, allocate, accomplish and discover huge datasets. It uses larger-sized datasets. It uses different patterns which predict data. Big data and education are quite related. This is because educational big data presents several applications that facilitate teaching innovation, educational administration, and research management.
The illustrative examples of the applications focused on using big data in education are student academic performance forecasts, employment endorsement, and monetary support for low-income students. Various empirical studies have demonstrated that student performance can be predicted in the courses during the following term. Currently, predictive research for higher education has become an appealing domain of study because it allows student behaviour prediction.
In this article, we will take a closer look at the Big Data applications in education.
Explore our Popular Software Engineering Courses
Also Read: Big data career path
Big Data Applications in Education
As companies handle a lot of data related to their employees, finances, partner corporations and customers, educational institutions also have to deal with student data. As thousands of students enrol in several institutes every year in a variety of courses, a humungous amount of data is generated. The student data consists of course details, enrollment year, student ID, exam grades and marks obtained in individual subjects.
Analyzing this data can be extremely beneficial for nurturing their careers. Let us now understand the Big Data applications in education.
Explore Our Software Development Free Courses
Learn about: Top 5 Big Data Applications in Banking & Insurance
1. Enhancing Student Results
The most common methods of analyzing a student’s performance are by their grades obtained in exams, projects and assignments. But all these grades can be accumulated to observe a unique data trail left by the student throughout their lives.
Analyzing these data trails will help educators to understand the behaviour and performance of students. With Big Data, it is possible to monitor their actions, such as:
- Response time for exam questions
- Sources they choose to educate themselves
- Questions they skip
- Questions they have answered successfully
The real-time analysis will help in providing students with much more enhanced feedback on their performance. The feedback can significantly improve results. This is because students will be able to understand the areas they have aced and where they lag behind.
Test results aren’t the only indicators of students’ success. The combination of big data and education helps teachers evaluate the time students require to answer a question. Also, they can discern what kinds of questions trouble the students.
Big data helps to compare the preparation process among students. Teachers can recognize the source types the successful students utilize. Accordingly, they can advise identical preparation approaches to the whole class.
Presently, students’ only performance measurement indices are the answers to their exams and assignments. But, in their lifetime, each student creates an exceptional data trail. Big data helps analyse this data trail in real-time. Consequently, it will provide an improved understanding of the student’s behaviours and helps set up an optimal learning environment.
Using big data in the education sector allows anyone to monitor student activities like the time they need to answer a question, sources they use for examination preparation, which questions they skip, etc. All these and other similar questions can be automatically answered and provide instant feedback to students.
2. A better Grading System
Big Data helps educators to track the performance of students. The analysis helps in understanding the performance of an individual and a collective level. The statistical analysis of individual grades will help educators to understand the areas of interest among students. The grading system can be enhanced to highlight the key areas where the student has excelled.
This system will also allow teachers to give valuable feedback to students and assist them in choosing the right career path. For example, Ashford School in the U.K. has implemented big data tools, such as Socrative, Nearpod and Classroom Monitor for analyzing their students. These applications help them to observe the performance and behaviour of students in real-time.
The institute has been able to enhance their students’ performances and provide better learning solutions to them.
Check out the big data courses at upGrad
Big data education helps institutions track student performance over several domains at individual and collective levels. Subsequently, it lets them improve corresponding solutions to facilitate students’ career growth.
Statistical assessment of students’ grades in different subjects can provide them with better guidance, and more effective study plans can be implemented. Depending on their performance in specific subjects and their interest, teachers can direct them to a suitable career path. Moreover, big data in education helps them to discern factors affecting an individual student’s performance and derive effective solutions using analytics.
3. Gaining Attention
Yes, you read that right! One of the most interesting and useful Big Data applications in education is the process of gaining a student’s attention. No matter how interesting the lecture is, there will always be some inattentive students who are busy looking at their phones or at others. But a lecture can only be effective if everyone paid attention.
Big Data experts have planned to use biometric data of students, such as heart rate, facial expressions and objects they touch during the lecture. This information can be captured via a camera on the ceiling or a device resembling a smartwatch. This data can be used for analyzing how attentive each student is.
After sending the data back to the teacher, he or she can take the necessary steps to regain the students’ attention.
Also learn: Big Data Applications in Pop-Culture
4. Customized Programs
Educators can create customized programs for students based on their grades and after understanding their attention span. Also, students can be offered blended learning that includes opportunities for offline and online learning. Through customized programs, students can access the study material online along with lectures. They can study at their own pace.
Big data education allows the creation of customised programs for each student irrespective of the number of students in universities and colleges. For that, big data uses “blended learning”, i.e. a combination of offline and online learning. Consequently, the students get the opportunity to follow those classes they are interested in and study at their pace while still retaining the option for offline guidance.
These modern programs will also let students seek guidance from their professors. This form of blended learning is offered around the world through MOOCs. For example, the Machine Learning class at Stanford taught by Andrew Ng was attended by approximately 400 students. But when this class was offered online on Coursera, more than 100,000 students participated.
As a result, more students gained the concepts and found the study material useful, which was not the case for the Standard offline class.
In-Demand Software Development Skills
Read: Big data jobs and its career opportunities
upGrad’s Exclusive Software Development Webinar for you –
SAAS Business – What is So Different?
5. Reducing The Number of Dropouts
Big Data applications in education also include curbing the number of students who drop out of schools and colleges. Big Data can be used for performing predictive analysis for understanding how students might perform in the near future. This analysis will look at the performance of students throughout the year, and predict if they might drop out.
Such an analysis will also help the institute authorities to execute a scenario analysis on a particular course before it is introduced. This will vastly help teachers to guide their students towards the course that will suit them the best.
With improvement in student results, the dropout rates will also decrease. The prevalence of big data in education helps educational institutions to use predictive analytics on all the collected data. Consequently, it gives them enough insights into future student performance. These predictions can also allow the implementation of scenario analysis on a specific course before it is presented in the curriculum; thus, it minimises the trial-and-error occurrences.
Big data also helps to supervise how students perform in the job market after their studies. This will assist future students in selecting the appropriate course and college.
To reduce the number of dropouts, big data helps tutors determine:
- How many students provided late project submissions?
- How’s the class attendance, and how is it comparable to other courses?
- What’s the drop-out rate for a particular course?
- What’s a course’s drop rate compared to previous years?
All such information helps tutors and educational institutions to discern the exact reasons for dropouts. Accordingly, they can provide better assistance with academic writing or any other challenging facets of learning. Furthermore, big data helps them update the course programs to make them more captivating.
Big Data is so powerful that it is also being used for analyzing how students will perform after college or university – when they are employed in a firm.
Read our Popular Articles related to Software
Learn: Mapreduce in big data
Conclusion
Big Data applications in education have revolutionized the sector. Educational institutes are using Big Data to screen applicants, deciding who will be a good fit for the institute and the ones who might not make it. This has helped institutes all over the world to reduce the time spent on the selection process. Big Data is also being used while recruiting teachers.
If you are interested to know more about Big Data, check out our Advanced Certificate Programme in Big Data from IIIT Bangalore.
Learn Software Development Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career.
Frequently Asked Questions (FAQs)
1. What is the use of Big Data in education?
With the implementa ion of Big Data in education, everything has become very accessible. Professors can use Big Data analysis to investigate more pain-areas of students to identify their struggles and understand the individual student’s requirements. Furthermore, students can also select their education path using Big Data. After introducing Big Data analysis, traditional in-person methods have taken a back seat. An added advantage of using Big Data gives students the privilege to choose or pursue academic experiences that align with their interests. This results in magnifying future career success for students and enhancing their potential.
2. What are the limitations of Big Data in education?
Big data has some gruesome challenges in the education sector, which is also time-consuming. Lack of support from teachers and mentors leads to bigger hurdles. As it is clear, Big Data analytics has plenty of opportunities, and for institutions to adapt and thrive through challenges could be a difficult task to keep up. The next challenge of Big Data applications in education is to ensure flexible data flow. In many institutions, the lack of Internet connectivity and poor network obstruct the process of data systems. Poor quality could lead to incorrect data followed by counterproductive results, and using them for education could be a true disadvantage for students.
3. What is the future of Big Data in the education sector?
It goes without saying that the education sector will witness a huge transformation in the coming years. Plus, with the innovation that Big Data will project in the future, students will be able to choose the profession that will align with their career aspirations. Learners and professionals can equally benefit from the data fetched from Big Data analytics. Big data’s requirement in the future will introduce students to voice-based learning, facial recognition, and fingerprint authentication, which will create room for effective studies. Big Data is the need of the hour, and therefore, it’s safe to consider the future with Big Data in education will evolve.