NCERT Class 11 Computer Science Computer Science: Chapter 3 — Emerging Trends
This chapter introduces students to the concept of emerging trends in computer science, emphasizing their importance in understanding current technologies and future developments. It delves into Artificial Intelligence (AI), explaining its goal to simulate human intelligence in machines for tasks like learning and decision-making. The chapter further breaks down AI into Machine Learning, where systems learn from data without explicit programming, and Natural Language Processing (NLP), which enables human-computer interaction using spoken languages. Examples like predictive typing and voice control illustrate NLP's applications. The text also touches upon Immersive Experiences, hinting at advancements in 3D videography and video games. Understanding these trends is crucial for students to grasp the evolving digital economy and societies, aligning with CBSE learning objectives.
Quick info
| Board | CBSE / NCERT |
|---|---|
| Class | Class 11 |
| Subject | Computer Science |
| Book | Computer Science |
| Chapter | Chapter 3 — Emerging Trends |
| Language | English |
| PDF type | NCERT Textbook |
| Session | CBSE 2026 |
| Reading time | 3 minutes |
| Word count | 446 |
Learning outcomes
- Define emerging trends in computer science.
- Explain the core concepts of Artificial Intelligence (AI).
- Differentiate between Machine Learning and Natural Language Processing (NLP).
- Identify real-world applications of AI, ML, and NLP.
- Understand the role of emerging trends in the digital economy and society.
Vocabulary
| Word | Meaning |
|---|---|
| Emerging Trends | State-of-the-art technologies gaining popularity and setting new user trends. |
| Artificial Intelligence (AI) | Simulating natural human intelligence in machines to make them behave intelligently. |
| Machine Learning | A subsystem of AI where computers learn from data using statistical techniques without explicit programming. |
| Knowledge Base | A store of information (facts, assumptions, rules) used by an AI system for decision-making. |
| Natural Language Processing (NLP) | Interaction between humans and computers using human spoken languages. |
| Immersive Experiences | Experiences enhanced by technologies like 3D videography and advanced video games. |
The complete chapter text is read in the official NCERT PDF viewer below (streamed from ncert.nic.in). This page provides NCERT Help study material — summary, vocabulary, practice questions, and FAQs — not a full reproduction of the textbook.
Read chapter online
This PDF is loaded from the official NCERT website (ncert.nic.in). Use the page buttons below to read — download is disabled on NCERT Help.
Read page by page below. PDF is streamed from the official NCERT website — no download button on this page.
Practice questions
- What is the main goal of Artificial Intelligence? Answer: To simulate natural human intelligence in machines, making them behave intelligently.
- How does Machine Learning differ from traditional programming? Answer: Machine Learning systems learn from data using statistical techniques without being explicitly programmed by humans.
- Provide an example of Natural Language Processing (NLP). Answer: Predictive typing in search engines or voice control of devices.
- What is a knowledge base in the context of AI? Answer: A store of information consisting of facts, assumptions, and rules that an AI system uses for decision-making.
Frequently asked questions
What are emerging trends in computer science?
Emerging trends are state-of-the-art technologies that are gaining popularity and setting new trends among users, impacting the digital economy and societies.
What is Artificial Intelligence (AI)?
AI endeavours to simulate the natural intelligence of human beings into machines, enabling them to perform cognitive functions like learning and decision-making.
What is the purpose of Machine Learning?
Machine Learning allows computers to learn from data using statistical techniques without explicit human programming, enabling them to make predictions.
What does Natural Language Processing (NLP) deal with?
NLP deals with the interaction between humans and computers using human spoken languages, facilitating tasks like voice control and text-to-speech conversion.
Can AI systems learn from past experiences?
Yes, AI systems can learn from past experiences or outcomes to make new decisions and improve their performance over time.
What are some applications of NLP mentioned?
Applications include predictive typing, spell checking, voice control, machine translation, and automated customer service.
Related resources
Important topics
Topics covered
NCERT Class 11 Computer Science — Computer Science — Chapter 3 — Emerging Trends. Verified by NCERT Help Editorial Team. Reviewed on 29 Jul 2026. Last updated 10 Aug 2026.