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Guides/Thinking & Problem Solving
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Creativity

Generating ideas beyond established frames, reframing problems, and turning them into tangible outcomes.

Creativity is the ability to see the familiar as unfamiliar, connect knowledge and experiences across different domains, and produce new value. It goes far beyond having a flash of inspiration; it encompasses the entire cycle of generating, refining, validating, and implementing ideas. Following the OECD creative thinking framework's emphasis on idea generation, exploration, elaboration, and evaluation, creativity develops through deliberate practice at every stage from observation to paradigm creation.

🧠Thinking & Problem Solving
7 Levels
Published: Feb 21, 2026 · Updated: Jul 26, 2026 · v4

References

OECDCompetency Framework

International assessment framework defining idea generation, exploration, elaboration, and evaluation across writing, visual, scientific, and social domains. Provides direct evidence for observable behavior criteria in checklist design.

PISA 2022 Creative Thinking Framework
AAC&UProficiency Scale

4-level rubric (Benchmark to Capstone) evaluating innovative thinking, connecting/synthesizing, and risk-taking. Directly mapped to level boundaries from L1 (Benchmark) to L5 (Capstone).

Creative Thinking VALUE Rubric
Mihaly Csikszentmihalyitextbook

Foundational research on creative process and flow states. Establishes creativity as a systemic phenomenon of individual, domain, and field, providing academic authority for the creativity field.

Creativity: Flow and the Psychology of Discovery and Invention
Frontiers in Psychology (Alabbasi et al., 2022)academic_research

Systematic review of the TTCT measuring fluency, originality, elaboration, and flexibility in creative thinking. Validity and reliability analysis of the most widely cited creativity assessment tool used across 40+ countries provides evidence for designing level-specific creative behavior indicators.

Torrance Tests of Creative Thinking: A Comprehensive Review

Related Guides

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Algorithmic Thinking
Breaking down problems into clear, sequential steps and recognizing patterns to find efficient solutions.
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Bias Recognition
Spotting the cognitive biases hidden in your own and others' judgments and correcting them in real time.
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Critical Thinking
Testing evidence, logic, and premises instead of taking claims at face value, to reach sound conclusions.
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Data-Driven Decisions
Grounding decisions in data you collect and analyze rather than intuition, from metrics to data strategy.
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Decision Making
Analyzing information and weighing alternatives to choose under uncertainty, from daily calls to strategy.
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Design Thinking
Solving complex problems with a human-centered process: empathy, definition, ideation, prototypes, tests.