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An Overview of Education Technology in India

Worldwide, the education and training industries spend over $4 trillion annually. Out of this, 85% of the expenditure accounts for delivery costs – i.e. the cost of building and infrastructure, teaching staff, etc. In India, the Union Budget 2018 allocated Rs 85,010 crore ($1.2 billion) for education. Despite this expenditure, the current education system is unable to deliver adequate skills to make students job-ready for the industry 4.0 era. Education technology (EdTech) bridges the gap between delivering education and making learning effective. Let’s look at how Education Technology in India can reform learning?

Education Technology: Skills that will be required in Future

Why EdTech?

The 2016 Trading Economics data reveal – 44.85 million people are unemployed in India; despite there being more than 1.6 million schools and 38 thousand colleges. This illustrates a gap in the existing education system and learning resources.

Although the expenditure on education is rising, educational performance is still weak. Cost-effectively improving the quality of education is the need of the hour. And ed-tech is an opportunity for upscaling ‘education’ at the global level.

EdTech is not just redesigning the textbooks in a digital format. The role of education technology also lies in developing applications in incorporating new learning architectures. Apart from revamping the learning architecture, cloud-based EdTech platforms can make learning material accessible to students anytime.

What Makes SaaS-based EdTech Effective?

Education technology encompasses several domains like reading materials, computer-based training, e-learning, and m-learning (learning through computer or mobile), teacher training, curriculum management, and back-office management. People also consider EdTech as Education Management Information System (EMIS). The following are the salient features of the Education Technology platform.

Scalability

In India, the classroom standards in the government-funded schools define the pupil to teacher ratio (PTR) in upper primary classes as 35:1. That is, a typical classroom should not accommodate more than 35 students. It is one of the reasons that many students do not get admission in good schools.

The SaaS-based Education Technology can make courses and learning material available to the students irrespective of their geographical location. EdTech platforms are easy-to-use and don’t require any preliminary training to use the software.

Engaging Learning Platform

To motivate students to learn without fear of grades and punishment is a daunting task. Unless the learning material is engaging, chances for its success is less. EdTech solves this challenge by deploying technology like virtual reality, gamification, and discussions on its platform. To bring the best of education, some education technology platforms also incorporate open learning models or open license content standards.

For example, EkStep – a non-profit initiative has created a collaborative platform to bring equal learning opportunities to every child, especially in rural India. It is an open platform where facilitators can join and create interactive courses for learners.

Education Management

An academic institute requires faculties, infrastructure, and efficient management for its smooth functioning. Technology in education is also making school management easy.

For example, Kreedo – an EdTech startup provides SaaS-based school and learning management system. It helps preschools with curriculum, teachers training, teaching material, child assessment, and other school administration tasks.

Faculty Training

Normally, teaching experience and educational qualifications are the only criteria for faculty recruitment in India. That’s why often faculties lack the skill to convey their knowledge to pupils effectively.

EdTech startups like flipClass track teachers’ performance and advise them on their technology platform. This application provides two types of feedback to faculties at the child’s level and concept level. It also assesses teaching against benchmarks.

Accessibility in Regional Languages

KPMG reports- video content will cover 80% of the global internet consumption. In India, consumers spend 50-60% of their average time on Hindi videos, 35-43% on regional videos, and only about 7% on English videos. Moreover, India homes 22 major languages and 13 different scripts.

To enhance conceptual understanding, materials available in learners’ comfortable language is a bonus. Language translations and curriculum in regional language are the additional benefits of education technology.

What’s the Future of Education Technology in India?

With over 3,500 startups, Education Technology in India is expected to reach $1.96 Bn by 2021.

While tier-1 cities boast of quality classroom education, tier-2 and tier-3 cities suffer a setback due to lack of resources. Ed-Tech can make quality learning accessible to rural regions. It can also help with teachers’ skill development, classroom infrastructure, and school management.

EdTech will make more use of technologies like Augmented Reality (AR), Virtual Reality (VR), Blockchain and STEM (Science Technology Engineering Math) Labs to design interactive learning interfaces.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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