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Blue Print 417

The document outlines the blueprint for the Class IX Artificial Intelligence examination for the 2024-2025 session under Kendriya Vidyalaya Sangathan, Kolkata Region. It details the structure of the exam, including parts on Employability Skills and Subject Specific Skills, with a total of 50 marks and various types of questions. The examination consists of objective, short answer, and descriptive questions across multiple units related to AI and its applications.

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Sahana Banu
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367 views1 page

Blue Print 417

The document outlines the blueprint for the Class IX Artificial Intelligence examination for the 2024-2025 session under Kendriya Vidyalaya Sangathan, Kolkata Region. It details the structure of the exam, including parts on Employability Skills and Subject Specific Skills, with a total of 50 marks and various types of questions. The examination consists of objective, short answer, and descriptive questions across multiple units related to AI and its applications.

Uploaded by

Sahana Banu
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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KENDRIYA VIDYALAYA SANGATHAN, KOLKATA REGION

ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 417)


BLUE PRINT FOR SESSION ENDING EXAMINATION
CLASS IX (SESSION 2024-2025)
Max. Time: 2 Hours Max. Marks: 50
PART A - EMPLOYABILITY SKILLS (10 MARKS):
OBJECTIVE TYPE SHORT ANSWER
UNIT QUESTIONS TYPE QUESTIONS TOTAL
NAME OF THE UNIT
NO. QUESTIONS
1 MARK EACH 2 MARKS EACH

1 Communication Skills -II 1 1 2

2 Self-Management Skills - II 2 1 3

3 ICT Skills - II 1 1 2

4 Entrepreneurial Skills - II 1 1 2

5 Green Skills - II 1 1 2

TOTAL QUESTIONS 6 5 11

NO. OF QUESTIONS TO BE ANSWERED Any 4 Any 3 07

TOTAL MARKS 1x4=4 2x3=6 10 MARKS

PART B - SUBJECT SPECIFIC SKILLS (40 MARKS):


SHORT ANSWER DESCRIPTIVE/
OBJECTIVE TYPE
UNIT TYPE LONG ANS. TYPE TOTAL
NAME OF THE UNIT QUESTIONS
NO. QUESTIONS QUESTIONS QUESTIONS
1 MARK EACH 2 MARKS EACH 4 MARKS EACH
1 AI Reflection, Project 5 1 1 7
Cycle and Ethics
2 Data Literacy 5 1 2 7
3 Math for AI (Statistics & 5 2 1 7
Probability)
4 Introduction to Generative 5 1 1 6
AI
5 Introduction to Python 4 1 - 4

TOTAL QUESTIONS 24 6 5 31
NO. OF QUESTIONS
TO BE ANSWERED 20 Any 4 Any 3 27

TOTAL MARKS 1 x 20 = 20 2x4=8 4 x 3 = 12 40 MARKS

417 - ARTIFICIAL INTELLIGENCE – CLASS IX PAGE 1 OF 1

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