You're offline — cached pages and worlds still work
Drishti Innovations logo
Drishti Innovations

Collocations and Word Partnerships

Word Mastery: Collocations and Word Partnerships

Collocations and Word Partnerships

Collocations and Word Partnerships

What you'll learn

  • that certain words habitually "go together" in English (collocations), even when other words seem logically equal.
  • high-frequency verb+noun and adjective+noun collocations tested in olympiad grammar and cloze sections.
  • how picking the wrong (but "logical") word partner is the most common error non-native and casual English speakers make.

Key concepts

  1. Collocation — a natural, conventional pairing of words (e.g. "make a decision", not "do a decision").
  2. Verb + noun collocations — e.g. pay attention, keep a promise, commit a crime.
  3. Adjective + noun collocations — e.g. heavy rain, strong coffee, wide range.
  4. Why they matter — using the correct collocation is what distinguishes fluent, exam-ready English from merely "understandable" English.

Worked example

Sentence: "She had to ___ a decision quickly."
Step 1 — list plausible verbs: make, do, take, have
Step 2 — recall the fixed collocation for "decision": make a decision
Step 3 — reject "do a decision" (do pairs with tasks/homework, not decisions)
Answer: make

Common mistakes

  • Assuming any verb that is logically related (do, make, take, have) can substitute freely — collocations are fixed by convention, not logic.
  • Overusing "big/large" instead of collocation-specific intensifiers (heavy rain, strong coffee, wide range).
  • Word-for-word translating collocations from another language.

Quick check

  • Fill in: "Please ___ attention to the instructions."
  • Which is correct: "heavy rain" or "strong rain"? Why?
  • Give one verb + noun collocation using "responsibility".

Open the Practice tab for graded questions on Collocations and Word Partnerships.

Interactive Exploration Suggestions (Drishti Live Worlds)

  • Use the platform-native live simulation or PhET-style tool for this topic (number line, Venn, physics playground, molecule builder, sensor dashboard, etc.).
  • Mirror / body / home activity: physically do the concept (count objects, measure, role-play) and photograph or describe for portfolio.
  • Voice or text reflection with AI Mentor: explain the concept to a younger student or family member.

AI Mentor Prompts (Socratic, Board-Adaptive)

  • "Explain this concept to a Class 6 student using one real example from an Indian home, school, market, or festival."
  • "What is one common mistake students make here, and how would you catch yourself making it?"
  • Stretch: "How does this connect to coding, robotics, money, health, environment, or a future career?"

Gamification, Portfolio & Parent Visibility

  • Complete the core practice + one extension activity (photo, table, short reflection, or mini-project) for base XP + topic badge.
  • 5-7 day streak or family discussion note = multiplier + visible artifact in parent/principal dashboard.
  • Best real-world application stories (anonymised) featured on class or national leaderboard.

Robotics, STEM & Future Skills Bridges

  • One hands-on project or measurement using the Drishti kit or household items that makes the concept physical.
  • Direct link to at least one Future Skill track (Money Management, Green Tech, Cyber Defenders, Micro-Entrepreneurship, AI Mastery, Sustainable Living, Personality Development).
  • Coding extension where relevant (simple script, simulation, or data logging).

NEP 2020 & Full Education OS Alignment

This material emphasises experiential "learning by doing", competency (apply/create/analyse), vocational exposure, critical thinking, and multidisciplinary connections. Designed to feed live worlds, AI Mentor (with memory), gamification, robotics, parent analytics, and future skills — not just exam prep.

Portfolio Evidence Idea: Your photo/table/reflection/project + one sentence on "How this helps me in real life or a possible future path."

Open the Practice tab for aligned questions (easy/medium/hard + case-based) with full AI scaffolding.

See curriculum for cross-links and the full future-skills/robotics chapters.

Key Takeaways (TL;DR)

  • What you'll learn
  • Key concepts
  • Worked example
  • Common mistakes

Master this topic with Drishti OS

Get unlimited mock tests, AI-powered mentorship, and complete video courses when you join.

Start Free Practice