Principles of Teaching

Duration: 8 min

This video lesson is available to enrolled students.

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Inside: a video lesson and guided study material.

Module outline

  1. Course Overview: About the Course
  2. Paper - 1 | Unit - 1 | Teaching Aptitude: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement
  3. Paper - 1 | Unit - 2 | Research Aptitude: Introduction to Research, Validity & Reliability, Research Paradigms & Types of Research, Research Process Steps, Research Ethics, Writing & Publication
  4. Paper - 1 | Unit - 3 | Comprehension: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions)
  5. Paper - 1 | Unit - 4 | Communication: Communication Basics, Language and Semiotics, Types of Communication, Communication Models, Mass Communication, Mass Media, Journalism, General Knowledge and General Studies related to Communication
  6. Paper - 1 | Unit - 5 | Mathematical Reasoning and Aptitude: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Number System, Percentage, Ratio and Proportion (Ratios), Simple Interest and Compound Interest, Speed Time and Distance, Powers and Exponents (Surds and Indices), Profit and Loss, Average, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Verbal Analogy (Word Based Analogy), Divisibility Rules, Calendar, Miscellaneous, Time and Work, Algebra
  7. Paper - 1 | Unit - 6 | Logical Reasoning: Syllogisms, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Venn Diagram, School Of Thoughts, Fallacy, Western Logic
  8. Paper - 1 | Unit - 7 | Data Interpretation: Data Interpretation
  9. Paper - 1 | Unit - 8 | Information and Communication Technology: MS Office Applications, Cyber Threats and Malware Attacks, Role of Internet and Web Services, Electronic Data Interchange and E-Commerce, Internet Fundamentals, Web Design & Development, Web Publishing & Hosting, Emerging Technologies, Terms & Abbreviations, Artificial Intelligence, Society, Law & Ethics, Keyboard Shortcuts, Website, Browser & Services
  10. Paper - 1 | Unit - 9 | People Development and Environment: Ecosystem, Biomes & Environmental Issues, MDG & SDG, Air Pollution, Water Pollution, Soil, Noise Pollution and Waste Management, Natural Resources, Energy & Disaster Management, Global Environmental Conventions – COP, Protocols & ISA
  11. Paper - 1 | Unit - 10 | Higher Education System: Vedic Education, Jainism & Buddhism, Ancient Universities, Pre-Independence Commissions, Post-Independence Policy, Higher Education Structure & Accreditation, Universities & Learning Programmes, Types of Education & NEP 2020
  12. Paper 2 | Unit 1 | Discrete Structures and Optimization: Propositional and Predicate Logic, Set Theory, Relations, Functions, Permutation and Combination, Probability, Graph Theory, Group Theory, Digital Systems & Boolean Basics, Boolean Expression, Boolean Minimization, Optimization
  13. Paper 2 | Unit 2 | Computer System Architecture: Logic Gates & Hardware, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Basics of COA, Register Transfer and Microoperations, Programming the Basic Computer, Instr Formats & Modes, Control Unit Design, Pipelining, Input Output Organisation, Cache Memory Organization, Multiprocessors
  14. Paper 2 | Unit 3 | Programming Languages and Computer Graphics: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, HTML Basics, XML, JavaScript-Basics, Java, Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, OOPS with C++, Java Fundamentals
  15. Paper 2 | Unit 4 | Database Management Systems: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  16. Paper 2 | Unit 5 | System Software and Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  17. Paper 2 | Unit 6 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  18. Paper 2 | Unit 7 | Data Structures and Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  19. Paper 2 | Unit 8 | Theory of Computation and Compilers: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  20. Paper 2 | Unit 9 | Data Communication and Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cloud Computing
  21. Paper 2 | Unit 10 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  22. Live Classes: NTA UGC NET 2025 Live Class
  23. Paper 1 | Full Mock Tests:
  24. Paper 2 | Full Mock Tests:
  25. Paper 1 | Previous Year Papers:
  26. Paper 2 | Previous Year Papers:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video lecture provides a detailed overview of the 'Principles of Teaching' (शिक्षण के सिद्धांत). The instructor systematically explains various pedagogical principles essential for effective classroom instruction. The lecture begins with foundational concepts such as the Principle of Definite Aim and Child-Centeredness, emphasizing the importance of clear objectives and tailoring teaching to learner needs. It progresses to practical strategies like the Principle of Activity (Learning by Doing) and Individual Differences, highlighting the need for active participation and differentiated instruction. The second half of the lecture covers motivational aspects, revision techniques, and the Principle of Correlation, linking new knowledge to prior experiences. Finally, it addresses the teacher's role as a guide, the necessity of planning, and the principle of proceeding from the known to the unknown, ensuring a comprehensive understanding of modern teaching methodologies.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The lecture introduces the 'Principles of Teaching' with a focus on four key areas. First, the Principle of Definite Aim is explained, stating that teaching must have clear, well-defined objectives, such as developing problem-solving skills through problem-based activities. Next, the Principle of Child-Centeredness is discussed, asserting that teaching should be based on the needs, interests, and abilities of learners, illustrated by using real-life shopping examples for commerce students. The Principle of Individual Differences follows, noting that every learner is unique and teaching must consider abilities, pace, and learning styles, exemplified by providing extra practice for weaker students. Finally, the Principle of Activity or Learning by Doing is presented, emphasizing that learners understand better when they actively participate, with examples like science experiments and role-plays.

  2. 2:00 – 5:00 02:00-05:00

    The instructor transitions to additional principles, starting with the Principle of Motivation, which states that teaching must arouse curiosity and interest to sustain learning, often achieved by starting with a real-life problem or story. The Principle of Revision & Practice is highlighted, indicating that learning should be reinforced through revision, drill, and application, such as solving previous year UGC NET questions. The Principle of Correlation is explained as relating new learning to previous knowledge and real-life experiences, like linking marketing mix concepts with students' buying experiences. The lecture also covers the Principle of Democratic Dealing, promoting freedom of expression and participation through group discussions and debates. Lastly, the Principle of Feedback & Evaluation is introduced, stressing the need for continuous assessment to check learning outcomes and giving constructive feedback on assignments.

  3. 5:00 – 7:53 05:00-07:53

    The final section of the lecture covers advanced teaching principles. The Principle of Planning is emphasized as a very important step, requiring teachers to plan properly before class, including lesson plans, teaching aids, and strategies. The Principle of Teacher as a Guide & Facilitator is explained, defining the teacher not just as a knowledge transmitter but as a mentor and motivator who encourages students to explore multiple sources. The Principle of Adaptability & Flexibility is discussed, noting that teaching must adjust to changing needs and learner diversity, such as using ICT tools for digital-age learners. The lecture concludes with the Principle of Proceeding from Known to Unknown, advising teachers to start from what learners already know and build new concepts gradually, exemplified by teaching 'international trade' after revising 'domestic trade'.

The video presents a structured progression of teaching principles, moving from foundational goals like definite aims and child-centeredness to practical execution strategies involving motivation, revision, and correlation. It culminates in the teacher's role as a facilitator and the importance of planning and adaptability. This comprehensive overview underscores the shift from traditional rote learning to dynamic, learner-centered pedagogies that prioritize active participation, individual differences, and continuous feedback. The examples provided, ranging from commerce students to science labs, illustrate how these abstract principles can be concretely applied in diverse educational settings to enhance learning outcomes effectively.

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