Social Learning Theory

Duration: 6 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 is a comprehensive lecture on Albert Bandura's Social Learning Theory, also known as Observational Learning. It covers the fundamental definition of learning through observation rather than direct reinforcement, the empirical evidence from the Bobo Doll experiment, and the four key cognitive steps involved in the process: Attention, Retention, Reproduction, and Motivation. The instructor uses slides with bilingual text to explain these concepts clearly.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The lecture begins with a slide titled "SOCIAL LEARNING THEORY/ OBSERVATIONAL LEARNING". The first bullet point states, "According to Albert Bandura, Learning by observing others (models) - not merely by direct reinforcement." The instructor uses a digital pen to highlight "Albert Bandura" and the phrase "Learning by observing others". She emphasizes that learning is not solely dependent on direct reinforcement but occurs through watching models. The slide text clearly distinguishes this approach from traditional behaviorist views. The instructor points to the text, ensuring students understand the core definition provided by Bandura. The green highlight on "Albert Bandura" draws attention to the theorist.

  2. 2:00 – 5:00 02:00-05:00

    The instructor discusses the second point, focusing on the "Bobo Doll experiment". The slide text reads, "Instead, his focus was on learning based on observation, which he has proven through his well-known Bobo Doll experiment." She points to the text "children keenly observe their surroundings" and "behaviour of people around them particularly their caregivers, teachers and siblings". She explains that children try to imitate these behaviors in their "day-to-day life". The slide further notes that he proved children can easily imitate "negative behaviours or actions". The instructor gestures towards the Hindi translation below, which starts with "अल्बर्ट बंडुरा के अनुसार" (According to Albert Bandura). She specifically points to the phrase "negative behaviours or actions" to highlight the range of imitable behaviors. The slide layout includes both English and Hindi text for bilingual understanding.

  3. 5:00 – 6:17 05:00-06:17

    The slide transitions to "Key Steps involved in Observational Learning". It lists four steps: Attention, Retention, Reproduction, and Motivation. The instructor underlines each term. "Attention" is described as "very important for learning to take place effectively by following observational techniques." "Retention" is defined as "the ability to store the learnt information and recall it later, which is equally affected by a number of factors." "Reproduction" involves "practicing or emulating the learnt behaviour, which will further lead to the advancement of the skill." "Motivation" is explained as depending on "reinforcement and punishment." The slide gives an example: "an office-goer may be motivated to report to office on time by seeing his colleague being rewarded for his punctuality and timeliness." The instructor underlines "Motivation" and explains the concept of vicarious reinforcement. The slide also includes Hindi translations for each step, such as "ध्यान" for Attention and "अवधारण" for Retention.

The video systematically explains Bandura's Social Learning Theory. It begins by defining observational learning as distinct from direct reinforcement. It then validates this theory with the Bobo Doll experiment, showing how children model adult behaviors. Finally, it details the four cognitive processes—Attention, Retention, Reproduction, and Motivation—required for observational learning to be successful, providing concrete examples for each step. The lecture effectively bridges theory and practical application through the use of clear slides and instructor guidance. The bilingual nature of the slides suggests an inclusive educational approach.

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