Maxims of Teaching

Duration: 12 min

This video lesson is available to enrolled students.

Return to /learn/NTA-UGC-NET-PAPER-2/paper-1-unit-1-teaching-aptitude/nature-objectives-characteristics-of-teaching/nature-and-characteristics-of-teaching/asset-maxims-of-teaching after enrolling

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 provides a comprehensive lecture on the 'Maxims of Teaching' (शिक्षण के सिद्धांत), defining them as universal facts derived from teacher experience that guide systematic instruction. The instructor systematically explains key maxims including 'From Known to Unknown,' 'From Psychological to Logical,' 'From Simple to Complex,' 'From Concrete to Abstract,' 'From Analysis to Synthesis,' 'From Whole to Part,' and 'From Indefinite to Definite.' Each concept is illustrated with specific examples, such as using addition before multiplication or real fruits before mathematical symbols. The lecture concludes with a detailed summary table that reviews these maxims, their key ideas, and practical examples, while the instructor writes 'Short Notes' on the board to reinforce the material for exam preparation.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a slide titled 'MAXIMS OF TEACHING' and its Hindi translation 'शिक्षण के सिद्धांत'. The text defines maxims as universal facts found by teachers based on experience, which are trustworthy and help teachers proceed systematically. The instructor introduces the first maxim, 'FROM KNOWN TO UNKNOWN' (ज्ञात से अज्ञात की ओर), explaining that teaching should begin with what students already know. She provides a concrete example visible on the slide: 'Start with addition before teaching multiplication,' illustrating how to build upon prior knowledge to introduce new concepts.

  2. 2:00 – 5:00 02:00-05:00

    The instructor moves to the maxim 'FROM PSYCHOLOGICAL TO LOGICAL' (मनोवैज्ञानिक से तार्किक तक), stating that teaching must suit the interest, age, and ability of learners before aligning with subject logic. Next, she covers 'FROM SIMPLE TO COMPLEX' (सरल से जटिल की ओर), advising to teach simple concepts first and gradually move to difficult ones, with the example 'Teach letters -> words -> sentences.' Finally, she introduces 'FROM ACTUAL TO REPRESENTATIVE' (वास्तविक से प्रतिनिधि तक), noting that when actual objects are not possible, teachers should use models, pictures, or diagrams to represent reality.

  3. 5:00 – 10:00 05:00-10:00

    The slide updates to show additional maxims. 'FROM CONCRETE TO ABSTRACT' (ठोस से अमूर्त तक) is explained using the example of using real fruits to explain addition before moving to symbols like 2+3=5. 'FROM ANALYSIS TO SYNTHESIS' (विश्लेषण से संश्लेषण तक) involves breaking a concept into parts (analysis) and combining them into a whole (synthesis), exemplified by breaking a sentence into subject and predicate. 'FROM WHOLE TO PART' (सम्पूर्ण से अंश तक) references Gestalt theory, noting we perceive a whole object like a tree or paragraph before its parts. 'FROM INDEFINITE TO DEFINITE' (अनिश्चित से निश्चित की ओर) describes moving from vague ideas to clear concepts, such as a child learning specific plant needs like water and sunlight.

  4. 10:00 – 11:43 10:00-11:43

    The final segment displays a 'Summary Table' listing maxims, key ideas, and examples. The instructor writes 'Short Notes' on the board and points to rows like 'Induction -> Deduction' (Discover -> Apply) and 'Empirical -> Rational' (Observation -> Logic). She reviews the table, highlighting examples such as 'Growth -> Photosynthesis' for empirical to rational and 'Real globe vs map' for actual to representative. She also points out 'Particular -> General' (Examples -> Rule) with the example of triangles leading to a definition, and 'Near -> Far' (Familiar -> Unfamiliar) with local to world geography, reinforcing the lesson's core concepts.

The lecture effectively progresses from defining teaching maxims to explaining specific principles like moving from known to unknown and concrete to abstract. By using a structured slide presentation with bilingual text and concluding with a summary table, the instructor ensures students grasp both the theoretical definitions and practical applications of each maxim. The inclusion of specific examples, such as using real fruits for math or Gestalt theory for perception, bridges the gap between abstract educational theory and classroom practice, making the content highly relevant for teacher training and exam preparation.

Loading lesson…