IGNOU MCS 224 2025 2026 - Rote Learning (II) Learning by Instruction (III) Learn

Question

Rote Learning (II) Learning by Instruction (III) Learning by analogy (IV) Learning by

26 Dec 2025

Answer :

Word Count : 337

In artificial intelligence and machine learning, rote learning refers to a basic form of learning in which the system memorizes information exactly as it is provided and retrieves it when required. This method does not involve understanding, reasoning, or generalization. Early AI systems, such as simple expert systems and lookup-table-based programs, relied heavily on rote learning by storing predefined rules, facts, or responses. While rote learning allows fast recall and accuracy for known situations, it fails when the system encounters new or slightly modified problems, making it limited in dynamic and complex environments. Learning by instruction involves acquiring knowledge through explicit guidance, rules, or algorithms given by humans or other systems. In AI, this is commonly seen in supervised learning, where models are trained using labeled data and clear instructions about desired outputs. Programming an

______ ____ _________ ___ ______ ____ ________ ____ __________ __________.
____ ___ _______ ____ _______.
____ ___ ______ ___ ___ ____ _______ _______ ____.
_______ ____ __________ ________ _______ _______ ________ _____ ______ ________ ______.
___ ________ __________ _____ _______ ___ __________ _____ ___.
__________ ________ ______ ___ ___ ___ ________ _____.
________ _____ _________ _____ _____ ________ _________ __________.
_____ ___ ______ _____ ______ _____ __________ _________ _________ _________ __________.
__________ ______ ________ ______ ___ _______.
__________ ____ _____ ___ ___ ________ _________ _______ _________ ___.
__________ ________ ______ _____ _____ _____ __________ ____ ______ __________ _______.
___ ___ ____ __________ ___ _________ _________ ___ __________ ___ __________ ___.
_________ ______ ___ ______ _____ ______ ______ __________ ___ ___ _______ __________.
________ _____ ________ ______ __________ ________ ____ ____ _________ _________ ______ ________.
__________ ________ __________ ________ _________ ____ _________.
_________ _______ ______ _______ ______ _____.
________ ______ _____ _________ _____ _________ _________ _________ __________ ________.
_________ ______ ______ ___ __________ ________ _______ _________ _______ ___ ______.
____ __________ _______ __________ _____ ___ ________.
________ _____ ___ _______ __________ _________.
__________ __________ ____ ________ ___ ______ __________ ___ __________ _________ ____.
___ ________ _________ __________ ________ ________ _________ ___ __________ ____.

IGNOU ACADEMY

Your IGNOU journey, made easier.

Solved Assignments
Study Notes
Guess Papers
Question Papers

Call Us WhatsApp

STUDY • PREPARE • SUCCEED

Skip in 10

Related Questions

1	2	3
4	8	-
7	6	5

Name	Hair	Height	Weight	Lotion	Result
Sarah	blonde	average	light	no	sunburned (positive)
Dana	blonde	tall	average	yes	none (negative)
Alex	brown	short	average	yes	none
Annie	blonde	short	average	no	sunburned
Emily	red	average	heavy	no	sunburned
Pete	brown	tall	heavy	no	none
John	brown	average	heavy	no	none
Katie	blonde	short	light	yes	none

IGNOU Solved Assignments Assignments Ignou Projects Project Previous Year Solved Exam Papers Notes Notes Sample Question Papers Sample Question Papers