Video summary
경인교대 과학영재를 위한 Show & Tell 안내자료
Main summary
Key takeaways
Main ideas / lessons conveyed
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Purpose of “Show & Tell” at the Gyeongin National University of Education Science Gifted Education Center
- An annual weekend event in early December
- Each student presents research conducted independently
- Presentations last about 5 minutes and use materials such as PPT
- Framed as a “creative output competition”, not just an evaluation
- Goal: build confidence as a presenter, progressively preparing students for skills used in academic conferences and papers
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What “Show & Tell” means in science
- Extends the childhood activity (“bring something, show it, explain it”) into science by sharing:
- Why the student conducted the inquiry
- How it was conducted (process)
- What results were obtained (outcomes)
- Compared with how scientists communicate research:
- Oral presentations at conferences/publishing contexts
- Poster presentations, with on-site interaction and Q&A
- Claimed key value: sharing research supports feedback, refinement, collaboration, and accumulation of collective knowledge
- Extends the childhood activity (“bring something, show it, explain it”) into science by sharing:
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How students should think about research topics
- Start from genuine personal curiosity (not just what others expect)
- Begin small if needed—“show and tell” doesn’t require a huge project
- Keep scope specific and doable within the time limit
- Check feasibility:
- Can you do it with your available tools/materials?
- Can you finish within your level/time constraints?
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Safety and ethics
- Research must be conducted safely (avoid dangerous experiments such as home explosions/toxicity tests)
- Follow ethical considerations, especially when working with living organisms
- Safety and ethics are treated as core social/scientific responsibilities
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Record-keeping and preparation
- Keep investigation notes (notebook or digital file)
- Save data, photos, and the research process so you can present later
- Present not only results, but also the necessary process steps (don’t rely on trust)
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How to structure the PowerPoint
- Use visuals and text so the audience can clearly understand
- Don’t simply copy-paste—reorganize into your own presentation
- Include:
- Motivation/necessity for the inquiry
- Purpose and the research question/problem
- Theoretical background/scientific principles
- The method (especially detailed for experiments/observations)
- Where/how it was done
- Results, conclusions, and reflections (students may include feelings unlike typical scientist talks)
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Examples by course level
- Mentions course/resource book production (2022–2025) and advancement/next-year planning for 2026
- Provides sample topics across ages/levels, such as:
- Paper airplanes
- Freezing related to salinity
- Temperature effects when raising chicks
- Noise-canceling
- Magnets
- Interests related to aircraft/climate
Methodology / instruction list (detailed)
1) Timeline and event format (Show & Tell specifics)
- Present during the weekend Show & Tell session in early December each year.
- Each student presents:
- Their independently conducted research from the past year (self-directed inquiry)
- Using PPT or presentation materials
- Presentation length: ~5 minutes (matching the center’s format)
2) Choose your inquiry topic (step-by-step guidance)
- Step 1: Find a topic
- Prefer a topic you’re truly curious about in daily life
- Even a small question can start meaningful inquiry
- Step 2: Start from curiosity, narrow the problem
- If the curiosity is too broad, lower the level and focus on something manageable
- Step 3: Keep idea notes
- Write down questions/ideas immediately while reading, watching, or studying
- Step 4: Generate ideas using sources
- Use the internet with keywords tied to your interests
- Review what other students did (science fairs, middle/high school competitions)
- Optionally use generative AI to brainstorm (as conversation, not blind copying)
- Consult with parents while ensuring the direction stays your own
3) Check feasibility before committing
- Ensure the investigation is specific and can be completed in the available timeframe
- Confirm it matches your level:
- Avoid requiring graduate-school-level equipment you can’t access
- Make sure materials can be obtained and handled safely at student level
4) Safety and ethics checklist
- Safety
- Do not conduct dangerous experiments (e.g., explosions, toxicity tests) at home
- Ethics
- Be mindful when research involves living organisms (e.g., rules for dissection)
- Consider both handling-life ethics and broader social ethics
5) Conduct the inquiry and maintain documentation
- Keep proper investigation notes throughout:
- Notebook or digital file—either is fine, but recording must be continuous
- Save and organize:
- Collected data
- Photos of the research process and outcomes
- Anything needed to justify your findings later
- Record evolving thinking:
- Questions, interpretations, and observations (e.g., “why is this happening?”)
6) Build the PowerPoint presentation (required content)
- Main goal: clear communication to the audience
- Include:
- Motivation/necessity
- Purpose and the research problem/question
- Scientific principles/theory
- Method details
- How/where the investigation was done
- Experimental/observational procedures
- Results
- Conclusions
- Reflections
- Formatting guidance:
- Use text and images effectively
- Improve readability for a 5-minute talk
- Don’t scrape/paste—reorganize in your own words and add necessary diagrams/photos
7) Possible kinds of scientific inquiry (six categories)
- Observational inquiry
- Observe phenomena/objects using senses and precise tools (microscope/telescope/thermometer)
- Examples: seasonal plant changes, moon shape changes, leaf network structures
- Experimental inquiry
- Test hypotheses by controlling variables and measuring/analyzing outcomes
- Examples: enzyme reaction vs temperature, photosynthesis vs light intensity
- Investigative inquiry (research/data collection)
- Gather existing information/data from internet/books/papers/journals/databases
- Includes:
- Big data analysis (e.g., weather/fine dust data from institutions)
- Document/status surveys
- Field trips to collect/analyze information
- Rearing (cultivation) inquiry
- Raise plants/animals; observe growth, behavior, and life cycles; record data
- Examples: bean life cycle, raising rhinoceros beetles/chicks
- Invention/making (engineering) inquiry
- Create prototypes/models/systems to solve everyday problems
- Examples: optimize paper airplane design, insulating tumbler, coding-based solutions
- Model/simulation inquiry
- Use simulations when real-world observation/experimentation is difficult
- Examples: universe/composition simulations, geological change models, molecular simulations
8) Inquiry process types (three representative methods)
- Inductive method
- Collect observations and derive general patterns/laws
- Often used in observational inquiry
- Hypothetical-deductive method
- Form a hypothesis, then verify via controlled experiments
- Control variables; interpret results; revise the hypothesis if needed
- Engineering design method
- Identify a real-world problem → generate ideas using scientific principles → design/create prototypes → test/verify → improve
- Define a solvable problem within time/material limits and iterate through prototyping
9) Decide which inquiry method fits your topic
- Match your topic to one (or more) inquiry categories:
- observational / experimental / investigative / rearing / invention / model-simulation
- Then match with a corresponding inquiry process:
- inductive / hypothetical-deductive / engineering design
Speakers / sources featured (identified)
- Professor Im Mi-jun — Director, Science Gifted Education Center, Gyeongin National University of Education
- Omar Yagi — Nobel Prize winner in Chemistry (referenced as an example of a scientist presenting at an academic conference)
- References mentioned as institutional/data examples:
- Korean Society (conference context referenced)
- Korea Meteorological Administration (weather data example)
- National Institute of Science and Technology (fine dust data example)
- Generative AI referenced as a brainstorming tool (no specific company named)