UGC NET Questions (Paper – 1)

Group communication occurs when a small number of individuals interact face to face to achieve a shared objective. Five students discussing a cultural programme must exchange ideas,negotiate roles and make decisions collectively. This precisely matches the features of small group communication.

Option A:
In group communication,each member has the opportunity to influence the outcome and to be influenced by others. The collaborative planning described in the stem reflects this interdependence. Therefore this option correctly labels the situation.

Option B:
Mass communication involves one to many messages sent via media to large,anonymous audiences,which is very different from a small committee meeting.

Option C:
Public communication refers to one person addressing a large audience,rather than several people jointly discussing and deciding.

Option D:
Intrapersonal communication would mean each student is planning alone in their mind,without talking to others,so it does not fit here.

Statement B is the only wrong statement because dashboards do not replace the teacher’s responsibility to interpret data thoughtfully. A, C and D recognise that dashboards visualise indicators, enable filtering and still require careful reading to avoid misinterpretation. Teachers must combine dashboard information with contextual knowledge before acting. Therefore, the combination that selects only B as wrong is correct.

Option A:
Option A is incorrect because it groups A and B as wrong statements. A is true, since visualising attendance and performance is a primary function of educational dashboards. Including A among wrong statements misrepresents their purpose.

Option B:
Option B is correct because it isolates B, which wrongly implies that interpretation is no longer needed, and implicitly accepts A, C and D as accurate. It highlights that data tools supplement but do not replace professional judgement.

Option C:
Option C is incorrect because it lists B and C as wrong. C is true, as many dashboards support filtering by different variables to reveal trends, so treating it as wrong contradicts common features of analytics tools.

Option D:
Option D is incorrect because it groups B and D as wrong statements. While B is wrong, D correctly warns that misreading dashboards can lead to poor decisions, so this combination misclassifies a valid caution as incorrect.

Learning analytics mines data from LMS logs, assessments, and interactions to reveal patterns of engagement and difficulty. The goal is to support better instructional decisions and targeted interventions.

Option A:
This option correctly states that big data about learners is used to refine teaching and provide more personalised, timely support.

Option B:
Focusing solely on attendance ignores richer behavioural data (clicks, quiz results, forum activity) central to learning analytics.

Option C:
Replacing teachers with robots is neither the purpose nor a realistic consequence of learning analytics.

Option D:
Leaking exam questions is unethical and unrelated to analytics, which aims at quality and fairness, not cheating.

Group communication occurs when a small number of people interact face to face to achieve a shared goal. The stem describes five students jointly preparing a seminar,which is a typical task oriented small group. They must share ideas,negotiate and decide together,which fits group communication.

Option A:
Intrapersonal communication is limited to one person thinking internally and does not involve multiple students interacting.

Option B:
Group communication highlights roles,leadership and interaction patterns among members,making it the most accurate label for this collaborative seminar preparation.

Option C:
Mass communication deals with messages sent via media to very large audiences and does not describe a five member discussion.

Option D:
Organisational communication concerns broader flows within an institution rather than this specific small task group.

Statements A, B, C and E are correct on gendered roles, policy impacts, clean cooking benefits and participation. Statement D is wrong because gender analysis is crucial in adaptation. Statement F is wrong as environmental stress can aggravate gender-based violence. Therefore A, B, C and E only is correct.

Option A:
Option A is incorrect because it includes D (false).

Option B:
Option B is correct because it includes A, B, C and E and excludes D and F.

Option C:
Option C is incorrect because it includes F (false) and omits A.

Option D:
Option D is incorrect because it includes F (false) and omits B.

Academic oligarchy refers to a situation where a relatively small group of influential academics dominates major decisions in a university. This group may informally control appointments, promotions and policy directions, even when formal structures appear democratic. The stem describes concentration of decision-making authority in a small group of senior academics, which is a textbook example of academic oligarchy. Hence, Option D is the correct choice.

Option A:
In an academic oligarchy, formal participatory bodies may exist but real power lies with a few established scholars or office-bearers. This can limit transparency and broader participation in governance, aligning with the concerns implicit in the question.

Option B:
Academic democracy would imply widespread participation and shared power among many stakeholders, which is opposite to the concentration of authority described. Therefore, this option does not fit the pattern in the stem.

Option C:
Academic bureaucracy emphasises adherence to rules and procedures and may involve many administrative layers, but it does not necessarily imply rule by a small group of senior academics. Hence, this option is not the best match.

Option D:
Academic technocracy would suggest decision-making dominated by technical experts or administrators focusing on efficiency, not necessarily by senior academic elites. This is different from the oligarchic pattern described, so this option is incorrect.

Big data analytics involves using advanced computational techniques to process high-volume, high-velocity and high-variety data. In education, this can mean analysing records from LMSs, administrative systems and online platforms to detect trends in performance or behaviour. Insights from such analyses can guide policy, resource allocation and personalised interventions. Thus the large-scale analysis described in the stem is big data analytics.

Option A:
Option A is correct because the term big data captures both the size and complexity of datasets that exceed the capacity of traditional tools, requiring specialised methods. Educational technology research increasingly references big data when discussing large-scale learning traces.

Option B:
Option B, manual record, suggests traditional paper-based files maintained by hand and does not imply advanced analytics.

Option C:
Option C, anecdotal, refers to informal, unstructured observations that lack systematic coverage and cannot describe large, complex datasets.

Option D:
Option D, randomised, hints at experimental design but not at the analysis of massive datasets across entire systems.