Gagne's Nine events of Instruction

Duration: 15 min

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Inside: a video lesson and guided study material.

Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude / गणितीय अभिक्षमता: Number System / संख्या पद्धति, HCF and LCM / महत्तम समापवर्तक और लघुत्तम समापवर्त्य, Divisibility Rules / विभाज्यता के नियम, Percentage / प्रतिशत, Ratio and Proportion / अनुपात और समानुपात, Average / औसत, Profit, Loss and Discount / लाभ, हानि और बट्टा, Time and Work / समय और कार्य, Solid Mensuration / घन क्षेत्रमिति, Simple and Compound Interest / साधारण और चक्रवृद्धि ब्याज, Time, Speed and Distance / समय, चाल और दूरी, Age Problems / आयु संबंधी प्रश्न, Mixture and Alligation / मिश्रण और एलिगेशन, Algebra / बीजगणित, Simplification, Indices and Surds / सरलीकरण, घातांक और करणी, Pipe and Cistern / नल और टंकी, Trigonometry / त्रिकोणमिति, Statistics / सांख्यिकी, Data Interpretation / आँकड़ा निर्वचन, Arithmetic / अंकगणित, Sets, Relations, Functions and Discrete Mathematics / समुच्चय, संबंध, फलन और विविक्त गणित, Number Systems and Number Theory / संख्या पद्धति और संख्या सिद्धांत, Coordinate Geometry, Vectors and 3D Geometry / निर्देशांक ज्यामिति, सदिश और त्रिविमीय ज्यामिति, Polynomials, Equations and Complex Numbers / बहुपद, समीकरण और सम्मिश्र संख्याएँ
  3. Logical Reasoning / तार्किक तर्कशक्ति: Series / श्रेणी, Coding-Decoding / कूट लेखन एवं कूट वाचन, Analogy and Classification / सादृश्यता एवं वर्गीकरण, Blood Relations / रक्त संबंध, Direction and Distance / दिशा एवं दूरी, Order and Ranking / क्रम एवं रैंकिंग, Non-Verbal Reasoning / अशाब्दिक तर्क, Seating Arrangement and Puzzles / बैठक व्यवस्था एवं पहेलियाँ, Syllogisms / न्यायवाक्य, Venn Diagrams, Syllogism and Inequalities / वेन आरेख, न्याय वाक्य एवं असमानता, Mathematical Operations and Missing Numbers / गणितीय संक्रियाएँ एवं लुप्त संख्या, Alphabet and Number Test / वर्णमाला एवं संख्या परीक्षण, Statement-Based Reasoning / कथन आधारित तार्किक विवेचन, Analytical Reasoning (Counting Figures Reasoning) / विश्लेषणात्मक तर्क (आकृति गणना तर्क), Cubes, Dice and Figure Counting / घन, पासा एवं आकृतियों की गिनती, Calendar and Clock / कैलेंडर एवं घड़ी, Clock / घड़ी
  4. General Knowledge / सामान्य ज्ञान: Scientific Achievements and Research / वैज्ञानिक उपलब्धियाँ और अनुसंधान, Chemistry / रसायन विज्ञान, Biology / जीव विज्ञान, History / इतिहास, Geography / भूगोल, Polity / राजव्यवस्था, Indian Economy / भारतीय अर्थव्यवस्था, Current Affairs / समसामयिकी, Static General Knowledge / स्थैतिक सामान्य ज्ञान, State-Specific General Knowledge / राज्य विशेष सामान्य ज्ञान
  5. Art of Teaching / शिक्षण कला: Teaching-Learning Process and Classroom Management / शिक्षण-अधिगम प्रक्रिया एवं कक्षा प्रबंधन, Learners & Learning Process / अधिगमकर्ता और अधिगम प्रक्रिया, Factors Affecting Teaching / शिक्षण को प्रभावित करने वाले कारक, Teaching Methods and Approaches / शिक्षण विधियाँ एवं उपागम, Microteaching and Classroom Communication / सूक्ष्म शिक्षण एवं कक्षा संप्रेषण, Teaching Aids and Educational Technology / शिक्षण सहायक सामग्री एवं शैक्षिक तकनीकी, Assessment and Evaluation / आकलन एवं मूल्यांकन, Teacher: Qualities, Professional Ethics and Development / शिक्षक: गुण, व्यावसायिक नैतिकता एवं विकास, Educational Policies, Acts and Administration / शैक्षिक नीतियाँ, अधिनियम एवं प्रशासन, Curriculum, Arts and Co-curricular Areas / पाठ्यचर्या, कला एवं सह-शैक्षिक क्षेत्र, Guidance and Counselling / निर्देशन एवं परामर्श, Education of Children with Disabilities / दिव्यांग बच्चों की शिक्षा, Micro-Teaching & Teaching Skills / सूक्ष्म शिक्षण और शिक्षण कौशल, Lesson Planning / पाठ योजना
  6. Environmental Science / पर्यावरण विज्ञान: Environment / पर्यावरण
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | 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
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML, Node.js, Git & Github, PHP
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing, Computer Networks, Internet of Things
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
  26. Full Length Mock Test – General + Computer Science:
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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