Positivism

Duration: 5 min

This video lesson is available to enrolled students.

Return to /learn/NTA-UGC-NET-PAPER-2/paper-1-unit-2-research-aptitude/research-paradigms-types-of-research/major-research-paradigms-realism-constructivism-pragmatism-positivism-post-positivism/asset-positivism after enrolling

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 presents a lecture on the philosophical concept of positivism and its limitations. The first part defines positivism as a method that relies on hard evidence, observable facts, and measurable cause-and-effect relationships, emphasizing that reality is objective and can be discovered through observation and measurement. It attributes the development of this concept to the 19th-century French philosopher Auguste Comte. The second part, titled 'Drawbacks of Positivism,' outlines two main criticisms: first, its 'Limited Scope of Knowledge,' which results from focusing only on measurable phenomena and thus overlooking complex, unquantifiable aspects like emotions and cultural influences; and second, 'Challenges to Objectivity,' which argues that despite striving for neutrality, researchers' personal beliefs and biases can still influence their interpretations and observations, undermining the reliability of results, especially in social sciences.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a slide titled 'Positivism'. The text explains that positivism relies on hard evidence and observable facts to understand things. It states that positivists believe in clear cause-and-effect relationships in the world, which can be examined through careful observation and measurement. The concept is compared to using a magnifying glass, and it is attributed to Auguste Comte, a French philosopher from the 19th century. The slide further explains that positivist researchers view reality as objective, meaning there is an external reality that exists independently of our thoughts and perceptions, and that facts and truths about the world can be discovered through observation and measurement, regardless of individual perspectives or interpretations.

  2. 2:00 – 4:44 02:00-04:44

    The video transitions to a new slide titled 'Drawbacks of Positivism'. The first drawback listed is '1. Limited Scope of Knowledge'. The text explains that one drawback of positivism is its tendency to focus solely on observable and measurable phenomena, which can result in overlooking complex issues. For example, if one only relies on scientific experiments to understand human behavior, they may overlook important aspects of emotions, motivations, and cultural influences that are difficult to quantify. The second drawback is '2. Challenges to Objectivity'. The text states that while positivist methodologies strive to be unbiased and neutral, researchers' interpretations and observations may still be influenced by their personal beliefs, values, and biases. This subjectivity can introduce errors or distortions into research findings, undermining the reliability and validity of the results. The example given is that in social sciences like psychology, researchers may struggle to remain entirely neutral when studying topics like human behavior and emotions, which are influenced by subjective experiences.

The lecture provides a comprehensive overview of positivism, first establishing its core principles of objectivity, empirical evidence, and the discovery of universal laws through observation and measurement, crediting Auguste Comte. It then critically examines the theory by presenting two significant drawbacks. The first, 'Limited Scope of Knowledge,' highlights the methodological limitation of focusing only on quantifiable data, which leads to the neglect of important qualitative aspects of human experience. The second, 'Challenges to Objectivity,' points out the inherent difficulty in achieving true neutrality, as researchers' personal biases can influence their work, thus questioning the reliability of positivist findings, particularly in the social sciences. The progression moves from a foundational definition to a critical analysis, providing a balanced understanding of the philosophy.

Loading lesson…