Gagne's Nine events of Instruction

Duration: 15 min

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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 lecture provides a detailed academic overview of Robert Gagné's instructional design theories, specifically focusing on two major frameworks: the 'Nine Events of Instruction' and the 'Hierarchy of Learning.' The instructor begins by introducing the Nine Events, explaining that instruction is most effective when it aligns with the internal cognitive processes of learners. She presents a slide listing the nine sequential events, which serve as a lesson blueprint. The lecture then transitions into a detailed table that maps each instructional event to a specific cognitive process, such as 'Receptivity' or 'Semantic Encoding,' providing concrete examples for teaching strategies. Following this, the instructor shifts to Gagné's Hierarchy of Learning, displaying a pyramid diagram that categorizes learning into eight levels. She distinguishes between the 'Behavioural Aspect' (lower levels) and the 'Cognitive Aspect' (higher levels), explaining each level from simple signal learning to complex problem-solving with specific examples like Pavlovian conditioning and operant conditioning.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a slide titled 'Gagné's Nine Events of Instruction (Robert Gagné).' The instructor introduces the core idea displayed on the screen: 'Instruction is most effective when designed to follow nine instructional events that align with internal cognitive processes of learners.' She emphasizes using these nine events as a 'lesson blueprint.' The slide lists the nine events numerically: 1. Gain attention (stimulus), 2. Inform learners of objectives (expectations), 3. Stimulate recall of prior learning (activate schema), 4. Present the content (instructional information), 5. Provide learning guidance (cues, examples), 6. Elicit performance (practice), 7. Provide feedback (corrective), 8. Assess performance (evaluation), and 9. Enhance retention & transfer (generalization, varied practice). The instructor gestures towards the list, setting the stage for a deeper dive into each event. She notes that these events are designed to align with internal cognitive processes.

  2. 2:00 – 5:00 02:00-05:00

    The presentation moves to a detailed table breaking down the first four events of instruction. The table columns include 'Event of Instruction,' 'Cognitive Process Involved,' 'Explanation,' 'Purpose / Learner's Internal Process,' and 'Example in Teaching.' For Event 1, 'Gain Attention,' the cognitive process is 'Receptivity / Sensory Register,' with the explanation that 'Learner's sensory memory is activated; attention is focused on stimulus.' The example given is to 'Ask a thought-provoking question, show a surprising fact/video.' For Event 2, 'Inform Learners of Objectives,' the process is 'Expectation / Goal Setting,' where the learner develops expectancy. The example is telling learners, 'By end of class, you will be able to solve XYZ...' Event 3, 'Stimulate Recall of Prior Learning,' involves 'Retrieval from Long-Term Memory' to connect old with new knowledge. The example is 'Ask students to recall a related concept.' Event 4, 'Present the Content,' involves 'Selective Perception & Encoding,' where the learner perceives and encodes new material into working memory. The example includes 'Lecture, reading, video, demonstration.'

  3. 5:00 – 10:00 05:00-10:00

    The instructor continues with the table, covering events 5 through 9. Event 5, 'Provide Learning Guidance,' corresponds to 'Semantic Encoding,' helping in deeper understanding by organizing knowledge with cues and strategies. The example suggests using 'mnemonics, diagrams, step-by-step demonstrations.' Event 6, 'Elicit Performance (Practice),' involves 'Responding / Rehearsal,' where the learner practices to strengthen memory traces. The example is to 'Solve problems, practice exercises.' Event 7, 'Provide Feedback,' is linked to 'Reinforcement & Correction,' where the cognitive system adjusts responses. The example is 'Teacher comments on answers immediately.' Event 8, 'Assess Performance,' involves 'Retrieval & Reinforcement' to check if objectives are achieved, using 'Quizzes, tests, practicals.' Finally, Event 9, 'Enhance Retention & Transfer,' involves 'Generalization & Transfer,' where the learner applies learning to new situations. The example is to 'Assign projects, real-world case studies.'

  4. 10:00 – 14:39 10:00-14:39

    The topic shifts to 'Gagné's Hierarchy of Learning,' displayed as a pyramid diagram with eight levels. The instructor explains that the lowest four orders focus on the 'Behavioural Aspect,' while the highest four focus on the 'Cognitive Aspect.' She details the levels starting from the bottom: 1. Signal Learning (classical conditioning, Pavlov), 2. Stimulus-Response Learning (operant conditioning, Skinner), 3. Chaining (linking S-R bonds), 4. Verbal Association (chaining applied to verbal units). Moving up, 5. Discrimination Learning (making different responses to similar stimuli), 6. Concept Learning (responding to classes of stimuli), 7. Rule Learning (combining concepts to form rules), and 8. Problem Solving (applying rules to new situations). The instructor shows text slides with specific examples for each level, such as 'Dog salivates at bell sound' for Signal Learning, 'Pressing lever for food' for Stimulus-Response, 'Learning to ride a bicycle' for Chaining, and 'Newton's law' for Rule Learning. She emphasizes that mastering lower levels is a prerequisite for higher ones. She also highlights the distinction between the 'Behavioural Aspect' (lowest four orders) and the 'Cognitive Aspect' (highest four orders) on the pyramid diagram.

The lecture effectively bridges instructional design theory with cognitive psychology. By first outlining the Nine Events of Instruction, the instructor provides a practical framework for structuring a lesson to maximize cognitive engagement. The subsequent explanation of the Hierarchy of Learning offers a theoretical foundation, categorizing learning types from simple reflexes to complex problem-solving. The combination of these two models allows educators to understand not just how to teach (the events) but what kind of learning is occurring at different levels of complexity (the hierarchy). The use of concrete examples, such as Pavlov's dogs and riding a bicycle, helps ground abstract psychological concepts in relatable scenarios, making the material accessible for students preparing for exams in educational psychology or instructional design.

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