Cognitive Theory

Duration: 8 min

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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 lecture provides a detailed exploration of Cognitive Theory, beginning with a fundamental definition of cognition as the process of gaining knowledge and understanding concepts through senses, thoughts, and experiences. The instructor emphasizes the concept of metacognition, describing it as an awareness of one's thought processes and 'thinking about thinking.' The session then introduces key theorists such as Jean Piaget, Jerome Bruner, and David Ausubel, outlining their specific contributions to the field. Finally, the lecture details four distinct learning strategies: Learner-Centered, Discovery, Meaningful, and Personalized learning, explaining how these methods are applied to optimize student strengths and improve shortcomings in an educational setting. The lecture bridges theory and practice by showing how these concepts are used in classrooms to enhance learning outcomes.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The session opens with a slide titled 'COGNITIVE THEORY' in English and Hindi. The instructor explains the first point, underlining the text: 'Cognition is the process of gaining knowledge & understanding concepts with the help of our senses, thoughts & experiences.' She then moves to the second point, underlining 'metacognition' and explaining that it is an awareness of one's thought processes. The slide text states it 'loosely translates to 'thinking about thinking'.' She elaborates that this means understanding how an individual's thoughts influence learning, connecting the definition to the practical application of self-awareness in the learning process. The Hindi text below provides a translation, reinforcing the concept of gaining knowledge through senses and experiences. She points to the screen to emphasize the connection between thoughts and learning.

  2. 2:00 – 5:00 02:00-05:00

    The slide changes to 'Cognitive Learning Theory,' presenting the idea that 'Learning is not just behavior, but also mental processes like thinking, memory, and problem-solving.' The instructor underlines 'mental processes like thinking, memory, and problem-solving.' She lists key theorists: Jean Piaget (Stages of cognitive development), Jerome Bruner (Discovery learning), and David Ausubel (Meaningful learning). She then transitions to 'What Are The Strategies Of Cognitive Learning?' and discusses the 'Learner-Centered Strategy.' She highlights the text: 'Jean Piaget termed learning as relating information to already existing knowledge,' explaining that this strategy focuses on the student and relates new information to what they already know. The slide also mentions that this approach is about relating new information to existing knowledge, education, previous experience, and ideas. She explains that this strategy is about relating new information to existing knowledge.

  3. 5:00 – 8:18 05:00-08:18

    The instructor details the 'Three Significant Components Of The Learner-Centred Approach': Accommodation, Assimilation, and Equilibrium, writing 'AAE' on the screen. She moves to 'Learning Through Discovery Strategy' by Jerome Bruner, underlining that he built his theory on Piaget's work focusing on discovery. Next is 'Meaningful Learning Strategy' by David Ausubel, who made a clear distinction between meaningful learning and rote learning. Finally, she discusses 'Personalised Learning Strategy,' underlining that 'All of these strategies can be combined into one personalized learning approach.' She explains that each student is unique, so instructors should create a learning experience to fit individuals depending on their knowledge. The slide notes that a personalized learning strategy helps educators design a plan of action for students to optimize their strengths and improve their shortcomings. She also mentions that institutes often use a learning management system to implement the strategy.

The lecture progresses logically from defining the core cognitive processes to identifying the theorists who shaped the field, and finally to applying these concepts through specific learning strategies. By breaking down complex theories into actionable methods like discovery and personalized learning, the instructor demonstrates how cognitive theory is practically implemented in education to foster deeper understanding and student responsibility. The visual aids, including underlined text and handwritten notes, reinforce the key takeaways for students.

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