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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-20 23:52:15 +09:00

6.6 KiB

id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack
id title category status canonical_id aliases duplicate_of source_trust_level confidence_score verification_status tags raw_sources last_reinforced github_commit tech_stack
wiki-2026-0508-growth-mindset Growth Mindset 10_Wiki/Topics verified self
growth mindset
fixed mindset
Carol Dweck
mindset theory
intelligence beliefs
none A 0.9 applied
psychology
education
mindset
dweck
intervention
effort
2026-05-10 pending
language applicable_to
Psychology / Education
Education
Coaching
Workplace

Growth Mindset

매 한 줄

"매 ability 의 의 의 develop 의 가능 의 belief". Carol Dweck (Stanford). 매 fixed (talent fixed) ↔ growth (effort + strategy 의 의 의 grow). 매 modern: 매 effect size 의 small but real (Sisk meta-analysis 2018), 매 implementation 의 critical.

매 핵심

매 vs fixed

  • Fixed: 매 ability is innate, 매 effort = lack of talent.
  • Growth: 매 ability develops, 매 effort + strategy = path.
  • Hybrid (most people): 매 domain-specific.

매 evidence

  • Mueller & Dweck 1998: 매 praise effort vs ability.
  • Yeager 2019 (NSLM): 매 large RCT — 매 9th-grader effect on low-achievers.
  • Sisk meta-analysis 2018: 매 effect size 의 small but reliable.
  • Replication concerns (Macnamara 2018).

매 modern nuance

  • Not magic: 매 effort ≠ outcome alone.
  • Strategy matters: 매 deliberate practice.
  • Context matters: 매 environment 의 fix barriers first.
  • Praise process (specific) 의 of 매 ability.

매 응용

  1. Education: 매 student.
  2. Workplace: 매 manager feedback.
  3. Sports / arts: 매 coaching.
  4. Therapy (CBT-related).
  5. Parenting.

💻 패턴

Praise pattern

# 매 ❌ Fixed (ability praise)
"You're so smart!"

# 매 ✅ Growth (process praise)
"I can see you tried different strategies on that problem."
"Your effort paid off — you stuck with it."
"What strategy worked? What would you try next?"

Self-talk reframe

FIXED_TO_GROWTH = {
    "I can't do this.": "I can't do this YET.",
    "I'm not good at this.": "What am I missing?",
    "I made a mistake.": "Mistakes help me learn.",
    "It's good enough.": "Is this really my best work?",
    "I'll never be as smart as her.": "I'll figure out what she does.",
}

Implementation intention

def growth_mindset_intent(challenge):
    return f"When I encounter {challenge}, I will: try a new strategy, ask for feedback, see it as an opportunity."

Effort + strategy track

class LearningJournal:
    def log(self, task, effort_min, strategy_used, outcome, lesson):
        self.entries.append({
            'task': task, 'effort': effort_min,
            'strategy': strategy_used, 'outcome': outcome,
            'lesson': lesson,
        })
    
    def reflect(self):
        # 매 매 strategy 의 의 outcome 의 correlate
        return analyze_strategy_outcome(self.entries)

Yet (powerful word)

def add_yet(statement):
    if statement.endswith("can't") or statement.endswith("don't"):
        return statement + " yet"
    return statement

Feedback rubric

process_feedback:
  - specific: "You broke the problem into steps before solving"
  - effort: "You spent time understanding before answering"
  - strategy: "Try writing it out next time"
  - growth: "Last week you struggled with this — now you got it"

avoid:
  - global ability: "You're a math genius"
  - person: "You're so smart"

Brainology-style intervention

def neuroplasticity_lesson():
    return """
The brain is like a muscle. Every time you tackle a hard problem:
1. Neurons fire and form new connections.
2. The connections get stronger with practice.
3. Mistakes ARE learning — that's where growth happens.
4. Your brain physically changes when you learn.
"""

School climate intervention (Yeager NSLM)

def nslm_session():
    """매 ~50 min — 매 RCT-validated."""
    return [
        ('intro_brain_grows', 5),
        ('story_struggling_student_grew', 10),
        ('exercise_my_struggle_strategy', 15),
        ('write_letter_advice_to_struggling_peer', 15),
        ('reflection', 5),
    ]

Track (per-student)

def mindset_score(student_responses):
    """매 Dweck Mindset Quiz — 매 8 items, Likert 1-6."""
    growth_items = student_responses[::2]  # 매 even
    fixed_items = student_responses[1::2]  # 매 odd reverse
    return (sum(growth_items) + sum(7 - x for x in fixed_items)) / 8

Workplace manager script

GROWTH_FEEDBACK_TEMPLATES = [
    "I noticed you tried [strategy]. What did you learn?",
    "What's one challenge you want to take on this quarter?",
    "When this didn't go as planned, what's one thing you'd do differently?",
    "What did you struggle with this week? That's where the learning happens.",
]

Combine with deliberate practice

def growth_practice_session(skill):
    return {
        'mindset': 'I can grow this skill with focused practice',
        'specific_subskill': identify_weakness(skill),
        'feedback_loop': 'recorded session, coach review',
        'effortful': 'just beyond current ability',
        'duration_min': 60,
        'reflection': 'what worked, what didn't, next iteration',
    }

매 결정 기준

상황 Approach
K-12 student NSLM-style intervention
Workplace Manager training + feedback rubric
Therapy CBT + reframe
Self-coaching Journal + yet
Sports / arts Coach feedback + deliberate practice

기본값: 매 process praise + yet + journal + manager training. 매 intervention 매 always pair with environmental support (resources, role models).

🔗 Graph

🤖 LLM 활용

언제: 매 education app. 매 coaching tool. 매 reflection journal. 언제 X: 매 toxic positivity 의 risk.

안티패턴

  • Effort-only obsession: 매 strategy/feedback 의 ignore.
  • Fixed mindset gaslighting: 매 environment problem 의 attribute to mindset.
  • Praise inflation: 매 every effort = special.
  • Single intervention: 매 follow-up 의 X.

🧪 검증 / 중복

  • Verified (Dweck 2006/2017, Yeager 2019, Sisk 2018, Macnamara 2018 critique).
  • 신뢰도 A.

🕓 Changelog

날짜 변경
2026-04-26 Auto
2026-05-08 Phase 1
2026-05-10 Manual cleanup — Dweck + 매 praise / yet / NSLM / journal code