Psychology 2022 Paper I 50 marks 150 words Compulsory Discuss

Q1

Answer the following questions in about 150 words each: (a) Describe the applications of psychological principles in managing drug abuse in adolescents. (10 marks) (b) What are values? What strategies can be used in fostering value of equality in early childhood? Discuss. (10 marks) (c) Discuss the role of artificial intelligence in dealing with mental health problems. (10 marks) (d) How can parents use reinforcement contingencies to manage their children's aggressive behaviour? (10 marks) (e) Illustrate the role of hypothesis in psychological research. (10 marks)

हिंदी में प्रश्न पढ़ें

निम्नलिखित प्रत्येक प्रश्न का उत्तर लगभग 150 शब्दों में दीजिए : (a) किशोरावस्था में नशीले पदार्थों के दुरुपयोग के प्रबंधन के लिए मनोवैज्ञानिक सिद्धांतों के उपयोगों का वर्णन कीजिए। (10 अंक) (b) मूल्य क्या हैं? बचपन में समानता के मूल्य को बढ़ावा देने के लिए किन रणनीतियों का उपयोग किया जा सकता है? चर्चा कीजिए। (10 अंक) (c) मानसिक स्वास्थ्य समस्याओं से निपटने के लिए कृत्रिम मेधा की भूमिका पर चर्चा कीजिए। (10 अंक) (d) अभिभावक अपने बच्चों के आक्रामक व्यवहार को प्रबंधित करने के लिए पुनर्बलन आकस्मिकताओं का उपयोग कैसे कर सकते हैं? (10 अंक) (e) मनोवैज्ञानिक अनुसंधान में परिकल्पना की भूमिका का वर्णन कीजिए। (10 अंक)

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Directive word: Discuss

This question asks you to discuss. The directive word signals the depth of analysis expected, the structure of your answer, and the weight of evidence you must bring.

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How this answer will be evaluated

Approach

This multi-part question requires descriptive and analytical responses across five distinct areas of applied psychology. Allocate approximately 30 words per mark (150 words per sub-part), spending roughly 3 minutes per part. For (a), focus on CBT and peer-based interventions; for (b), define values and give concrete classroom strategies; for (c), balance AI benefits with ethical concerns; for (d), specify operant conditioning techniques; for (e), distinguish hypothesis types with research examples. No separate introduction or conclusion needed—directly address each sub-part.

Key points expected

  • (a) Applications for adolescent drug abuse: CBT techniques, motivational interviewing, peer resistance training (DARE program), family-based interventions, and neurobiological considerations of adolescent brain development
  • (b) Values definition (Schwartz/Rokeach frameworks) and equality-fostering strategies: cooperative learning, inclusive storytelling, role-playing, countering stereotypes, and modeling by educators
  • (c) AI in mental health: Woebot/Wysa for CBT delivery, predictive analytics for suicide prevention, diagnostic assistance via NLP, limitations regarding empathy and data privacy concerns
  • (d) Reinforcement contingencies for aggression: differential reinforcement of incompatible behavior (DRI), timeout procedures, token economies, and avoiding reinforcement of aggressive attention-seeking
  • (e) Hypothesis role: directional vs. non-directional, null and alternative, falsifiability principle (Popper), bridging theory and observation, with examples from classic studies (e.g., Zimbardo's prison experiment hypothesis)

Evaluation rubric

DimensionWeightMax marksExcellentAveragePoor
Concept correctness20%10Accurately defines all core concepts: for (a) distinguishes primary vs. secondary prevention; for (b) operationalizes values beyond 'good behavior'; for (c) correctly identifies machine learning vs. rule-based AI; for (d) precisely distinguishes positive/negative reinforcement and punishment; for (e) clarifies hypothesis vs. theory vs. predictionDefines most concepts correctly but conflates similar terms (e.g., reinforcement with reward) or provides vague descriptions for 1-2 sub-partsMajor conceptual errors: confuses negative reinforcement with punishment, treats hypothesis as mere guess, or fundamentally misunderstands AI applications in mental health
Theory & studies cited20%10Cites specific frameworks: for (a) Botvin's Life Skills Training or Jessor's Problem Behavior Theory; for (b) Kohlberg's moral development or Bandura's social learning; for (c) Indian initiatives like Wysa or NIMHANS digital programs; for (d) Skinner's operant conditioning with precise terminology; for (e) references Popper's falsifiability or specific hypothesis examples from classic experimentsMentions general theoretical approaches without specific attribution, or cites only 2-3 sub-parts with named theories while others remain atheoreticalNo theoretical grounding, invents studies, or misattributes theories (e.g., attributing operant conditioning to Pavlov)
Application examples20%10Provides concrete, contextualized applications: for (a) mentions Indian school-based programs like NISD interventions; for (b) gives specific classroom activities; for (c) names actual AI platforms with functions; for (d) illustrates with parent-child scenario; for (e) shows hypothesis formulation in actual research designGives generic examples that lack specificity or cultural relevance, or provides detailed examples for some sub-parts while others remain abstractNo practical examples, purely theoretical responses, or unrealistic applications showing poor understanding of implementation constraints
Multi-perspective analysis20%10Demonstrates balanced analysis: for (a) considers individual, family, and societal levels; for (b) addresses cognitive and behavioral routes to value formation; for (c) weighs AI benefits against limitations like algorithmic bias and therapeutic alliance concerns; for (d) notes ethical considerations in behavioral control; for (e) distinguishes between inductive and hypothetico-deductive approachesAcknowledges multiple perspectives superficially or provides balanced analysis for 2-3 sub-parts while others remain one-sidedSingle-perspective treatment throughout, uncritical acceptance of approaches, or complete absence of counter-arguments and limitations
Conclusion & evaluation20%10Each sub-part achieves closure with evaluative synthesis: for (a) prioritizes evidence-based interventions; for (b) emphasizes teacher training importance; for (c) advocates human-AI collaborative models; for (d) stresses consistency and developmentally appropriate practices; for (e) reaffirms hypothesis as essential for scientific rigor—overall demonstrates integration across applied psychology domainsProvides concluding statements for most sub-parts but they merely summarize rather than evaluate, or some sub-parts end abruptly without closureNo concluding statements, answers trail off, or conclusions contradict earlier content; fails to demonstrate any integrative understanding across the five applied domains

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