Memory Level of Teaching

Duration: 11 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.

The video provides a comprehensive lecture on the Memory Level of Teaching (MLT), a pedagogical approach proposed by Johann Friedrich Herbart. It begins by defining MLT as the most basic level of teaching, emphasizing rote learning and memorization through examples like multiplication tables and state capitals. The instructor details the roles within this framework: the learner is secondary and passive, while the teacher is primary and active, dominating the class to provide information directly. The objective is solely to develop the ability to recall facts, formulas, and definitions, requiring the lowest level of mental development, typically used in early childhood. The lecture then transitions to the phases of learning in MLT: Learning, Retention, Recall, and Recognition, providing definitions for each. It further outlines the model of MLT, covering focus (providing knowledge, training memory), syntax (preparation, presentation, generalization), social support (teacher-centered, extrinsic motivation), and support system (cramming, evaluation based on recall). Finally, the video concludes by listing the merits (useful for young children, slow learners) and de-merits (not suitable for higher classes, teacher dominance, lack of interaction) of this teaching level.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a slide titled '1. MEMORY LEVEL OF TEACHING (MLT)'. It states the concept was proposed by German philosopher Johann Friedrich Herbart. The text describes MLT as the most basic level of teaching, primarily focused on rote learning and memorization. Examples provided on the screen include memorizing multiplication tables, state capitals, grammar rules, and definitions of business terms. The instructor points to a table starting with 'Feature' and 'Explanation'. The first row, 'Learner's Role', is highlighted as 'Secondary & Passive – receives information without deep involvement'. The second row, 'Teacher's Role', is 'Primary & Active - Dominates the class, provides information directly'. The instructor is seen gesturing towards the screen, emphasizing the text.

  2. 2:00 – 5:00 02:00-05:00

    The instructor elaborates on the table features. The 'Objective' is to develop the ability to recall facts, formulas, and definitions. 'Mental Development Required' is noted as the 'Lowest level – used in early childhood/school years'. Under 'Teaching Methods', the slide lists repetition, drill, cramming, and question-answers. The 'Nature of Content' is described as simple, factual, based on recall. 'Evaluation' involves tests focused on recall and rote memory, such as MCQs and oral tests. A key 'Limitation' is that it does not promote understanding or creativity. The instructor uses hand gestures to emphasize the passive nature of the learner and the active dominance of the teacher, pointing specifically to the text 'Secondary & Passive' and 'Primary & Active'.

  3. 5:00 – 10:00 05:00-10:00

    The presentation transitions to a slide titled 'Memory level teaching (MLT) स्मृति स्तर शिक्षण (MLT) Phases Of Learning : अधिगम के चरण:'. A flowchart displays four stages: Learning (अधिगम), Retention (अवधारण), Recall (याद करना), and Recognition (मान्यता). Below the chart, definitions are provided for Remembering, Retention, Recall, and Recognition in both English and Hindi. The next slide, 'Model Of Memory Level Of Teaching शिक्षण के स्मृति स्तर का मॉडल', outlines four key components. 1. Focus (केंद्र): Providing knowledge, training memory faculty, retaining learned facts, and recalling/representing them. 2. Syntax (वाक्य - विन्यास): Preparation and statement of the aim, presentation, comparison and association, generalization, and application. 3. Social support (सामाजिक समर्थन): Teacher-centered, motivating and controlling, where extrinsic motivation dominates. 4. Support system (समर्थन प्रणाली): Cramming is stressed, and evaluation is based on recall/recognition. The instructor points to each section of the model, explaining the structure of MLT.

  4. 10:00 – 11:29 10:00-11:29

    The final section covers the 'Merits of MLT' and 'De-Merits of MLT'. Merits listed include being useful for young children, useful for slow learners, helpful in learning new concepts, and serving as a base for understanding and reflective thinking. De-merits highlighted include not being suitable for higher classes, dominance of teachers, little interaction in the classroom, and a focus on rote learning. The instructor points specifically to 'Not suitable for higher classes' and 'Dominance of teachers' while explaining the drawbacks of this teaching method. She uses hand gestures to count the points and emphasize the lack of interaction. The slide also shows Hindi translations 'एमएलटी के गुण' and 'एमएलटी के अवगुण'.

The lecture systematically breaks down the Memory Level of Teaching (MLT) from its historical roots to its practical application and limitations. It begins by establishing MLT as a foundational, rote-learning approach proposed by Herbart, suitable for early education. The instructor details the rigid structure where the teacher is the sole source of information and the learner is passive. The lesson progresses to the psychological phases of learning involved—Learning, Retention, Recall, and Recognition—and the structural model of MLT, which emphasizes focus on memory, specific syntax of instruction, and social support systems that rely on extrinsic motivation. Finally, the video concludes with a balanced view of the merits and de-merits, acknowledging its utility for young or slow learners while critiquing its lack of suitability for higher education due to teacher dominance and lack of interaction. This progression provides a complete overview of MLT as a pedagogical concept, covering its definition, features, phases, model, and evaluation.

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