UGC NET Paper 1 Analysis 2026: In-Depth Review of 22 June Shift 2

 Master your preparation with our comprehensive analysis of the UGC NET Paper 1 (22 June Shift 2). Explore key topics like Bloom's Taxonomy, successive discounts, and ICT trends.

The UGC NET Paper 1 examination held on 22 June 2026 (Shift 2) maintained a consistent difficulty level, with many candidates describing it as Easy to Moderate. While the questions remained rooted in the standard syllabus, NTA introduced several dynamic elements, including chronological sequencing and multi-selection options, to test deeper conceptual clarity. Aspirants noted that topics from the morning shift were frequently mirrored, emphasizing the importance of tracking daily exam trends.

Teaching Aptitude and Evaluation Systems

A major highlight of this shift was Bloom's Taxonomy, which appeared across multiple contexts. Questions focused on distinguishing between the Cognitive (thought-based), Affective (emotion-based), and Psycho-motor (physical-action) domains.

• Affective Domain: Key categories identified included receiving, responding, valuing, organizing, and characterization.
• Psycho-motor Domain: This focuses on physical skills like coordination, imitation, and naturalization.
• Evaluation Types: Candidates were tested on Formative Evaluation, which occurs during class to provide continuous feedback, versus Summative Evaluation, which provides final grades at the end of a term.

Learning theories also saw a dedicated Match-the-Column section, linking Constructivism to Bruner, Behaviorism to B.F. Skinner, and Social Learning to Albert Bandura.

Research Methodology and Variables

Research Aptitude remained a high-weightage unit with a focus on technical definitions.

• Variable Types: Questions required distinguishing between Independent variables (manipulated), Dependent variables (outcomes), and Intervening variables that stand between the two.
• Error Types: The "Type 1" error was defined as rejecting a true null hypothesis, while "Type 2" involves accepting a false one.
• Testing: Candidates had to identify Parametric tests (like T-tests and Z-tests) versus Non-parametric tests (such as the Chi-square test).

Mathematical Reasoning and Data Interpretation

The successive discount formula ($x + y - xy/100$) was a recurring theme, with one specific question involving three back-to-back discounts of 30%. Mathematical problems also touched on profit and loss, with scenarios involving the sale of wheat at varying profit/loss margins. Data Interpretation (DI) was primarily percentage and ratio-based; while some found it calculative, prepared candidates were able to solve it within 5 to 6 minutes.

Logical Reasoning and Communication

In Logical Reasoning, the Mood and Figure of syllogisms were prominent. Aspirants had to identify patterns like Figure 1 (SP pattern) or Figure 3 (SS pattern) based on the position of the middle term. The Square of Opposition (A, E, I, O propositions) also appeared, requiring candidates to identify contrary or contradictory relationships.

Communication focused on barriers, including Semantic (language-based), Physical (environment-based), and Status-related obstacles. The linear model of communication was highlighted through its sequence: Encoder → Message → Medium → Noise → Decoder.

ICT, Environment, and Higher Education

• ICT: A simple but essential question asked for the full form of SSD (Solid State Drive), noting its speed advantages over the traditional HDD (Hard Disk Drive).
• Environment: The Kyoto Protocol was featured, specifically regarding the seven greenhouse gases it monitors, such as Carbon Dioxide and Methane. El Niño was also mentioned as a current affair topic due to its impact on the Indian monsoon.
• Higher Education: Historical regulatory bodies were tested chronologically, including AICTE (1945), UGC (1956), and NIRF (2015). Ancient universities like Taxila (medicine) and Ujjain (astronomy) also made an appearance.

These questions covered technical definitions, mathematical problems, and chronological sequencing across all major units.

Teaching Aptitude and Evaluation

• Bloom's Taxonomy: Identification of the domain focusing on physical skills and coordination (Psychomotor).
• Affective Domain: Identifying categories like receiving, responding, valuing, organizing, and characterization.
• Learning Theories: A match-the-column question involving Constructivism (Bruner), Behaviorism (Skinner), Social Learning (Bandura), and Cognitive Development (Piaget).
• Evaluation Types: Identifying which evaluation provides feedback to both students and teachers (Formative).
• Simulation: Characteristics of simulated or simulation-based learning as a learner-centric method.
• Transactional Analysis: Questions related to teaching aptitude theories.

Research Aptitude

• Variables: Distinguishing between Independent, Dependent, Intervening, and Confounding (spurious) variables.
• Hypothesis Types: Questions on Descriptive, Null, Explanatory, and Alternative hypotheses.
• Hypothesis Testing Steps: Arranging the order of steps: setting Null/Alternative hypotheses, significance level, data collection, statistical testing, and the decision to accept or reject.
• Errors: Matching Type 1 (Alpha) and Type 2 (Beta) errors to their definitions.
• Research Types: Ordering research by emphasis on practical action: Pure, Applied, Policy, and Action research.
• Parametric vs. Non-Parametric: Identifying that the Chi-square test is non-parametric.
• Sampling: Identifying types of probability sampling (Simple Random, Stratified) versus non-probability sampling (Snowball).

Logical Reasoning

• Mood and Figure: Determining the mood of sets of categorical propositions (e.g., AII, EOO, AAA, III).
• Figure Patterns: Identifying the SP pattern as Figure 1 and the SS pattern as Figure 3.
• Square of Opposition: Identifying the contrary relationship (Universal Affirmative vs. Universal Negative).
• Formal Logic: Sequencing the elements of a proposition: Quantifier, Quality, Subject, Predicate, and Copula.
• Connotation/Denotation: Arranging terms from specific to general: Member, Family, Community, Society, and Country.
• Fallacies: Questions regarding Hetvabhasa and the Red Herring fallacy.

Mathematical Reasoning and Data Interpretation

• Successive Discount: Calculating net discounts for sequences like 30%, 30%, and 30% or 10%, 20%, and 30%.
• Profit and Loss: A problem involving 80kg of wheat sold in two parts—20kg at a 20% profit and the remainder at a 10% loss—to find the overall result.
• Number Series: A series following the pattern of $n^n - 1$, specifically: 0, 3, 26, 255, with the next number being 3124.
• Data Interpretation: Percentage and ratio-based tables requiring calculations of differences and maximum improvements over previous years.

ICT and Communication

• Full Forms: SSD (Solid State Drive) and OSI (Open System Interconnection).
• Communication Model: Sequencing the linear model: Encoder → Message → Medium → Noise → Decoder.
• Communication Barriers: Matching Semantic, Physical, Status, and Personal barriers to their descriptions.
• Mass Media: Identifying which option is NOT a function of mass media (Isolation).
• Firewalls: Functions regarding monitoring and controlling data traffic.

Environment and Higher Education

• Environmental Protocols: Chronological arrangement of the Rio Earth Summit (1992), Kyoto Protocol (1997), and Paris Agreement (2015).
• Kyoto Protocol Gases: Identifying the seven greenhouse gases included, such as CO2 and Methane.
• El Niño: Its effect on the weakening of the Indian monsoon.
• Ancient Universities: Matching Taxila (Medicine), Ujjain (Astronomy), Vikramshila (Tantric), and Manyakheta (Dvaita).
• Regulatory Bodies: Chronology of AICTE (1945), UGC (1956), NBA (1994), and NIRF (2015).
• NEP 2020: Features such as the 6% GDP allocation, 50% GER goal by 2035, and the Gender Inclusion Fund.