TS SET cheat sheet

UGC NET/TS SET Paper I structure: 50 objective questions, 100 marks, 1 mark each; ten units spanning teaching aptitude, research aptitude, comprehension, communication, reasoning, logical deduction, data interpretation, ICT, people-environment, and higher education systems.

Teaching aptitude levels: Memory level (recall, Herbart), Understanding level (meaning, Morrison), and Reflective level (critical problem-solving, Hunt) - the last is the highest and most desirable outcome.

Bloom's revised taxonomy (Anderson & Krathwohl, 2001): Remember, Understand, Apply, Analyze, Evaluate, Create - knowledge dimension runs factual, conceptual, procedural, metacognitive.

Maxims of teaching: simple to complex, known to unknown, concrete to abstract, particular to general, analysis to synthesis, and empirical to rational.

Research types: fundamental (basic, theory-building), applied (problem-solving), action (practitioner-led, cyclical, local), and historical, descriptive, experimental, ex-post facto, and case study designs.

Sampling: probability methods include simple random, systematic, stratified, cluster, and multistage; non-probability methods include convenience, purposive, quota, and snowball.

Validity types: face, content, construct, criterion (concurrent and predictive), and internal/external validity; reliability includes test-retest, split-half, and inter-rater methods.

Communication model: sender, encoding, message, channel, receiver, decoding, feedback, and noise; barriers may be physical, semantic, psychological, or organizational.

ICT and higher education: NEP 2020 emphasizes multidisciplinary education, academic credit bank, multiple entry/exit, and the National Research Foundation; UGC, AICTE, and NAAC are key regulatory and accreditation bodies.

Paper II carries 100 questions for 200 marks (2 marks each); questions test subject mastery at postgraduate level, including conceptual understanding, application, and current developments in the chosen subject.

In mathematics, core areas include real and complex analysis, linear algebra, abstract algebra (groups, rings, fields), topology, differential equations, numerical analysis, and probability/statistics.

In physics, key areas include classical mechanics, quantum mechanics, electrodynamics, statistical mechanics, solid-state physics, nuclear and particle physics, and electronics.

In chemistry, key areas include organic reaction mechanisms, stereochemistry, spectroscopy (IR, NMR, UV-Vis, MS), thermodynamics, kinetics, coordination chemistry, and quantum chemistry.

In life sciences, core areas include cell and molecular biology, genetics, biochemistry, ecology, evolution, physiology, immunology, and biostatistics.

In commerce and management, key areas include accounting standards, financial management, cost accounting, business law, marketing, HRM, and research methodology.

In economics, key areas include microeconomics, macroeconomics, econometrics, public finance, international trade, and development economics.

In computer science, key areas include data structures, algorithms, operating systems, DBMS, computer networks, software engineering, and theory of computation.

In education, key areas include educational philosophy, psychology of learning, curriculum, assessment, inclusive education, and educational technology.