EarthPilotPersonality·Bench
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Kolb Experiential Learning Modes (Likert-adapted)

12-item Likert adaptation of Kolb's Experiential Learning Theory, measuring four learning modes that combine into the four Kolb learning styles. Concrete Experience + Reflective Observation = Diverging; Abstract Conceptualization + Reflective Observation = Assimilating; Abstract Conceptualization + Active Experimentation = Converging; Concrete Experience + Active Experimentation = Accommodating. As with VARK, the empirical evidence for matching instruction to learning style is weak.

Kolb, D. A. (1984). Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall. (Items rewritten in Likert form for this study; the original LSI uses a ranked-choice format.)

12 items · scale 15 · Kolb LSI © Hay Group; items rewritten in Likert form for this study (CC-BY).

All models · Human

Scale 15
Concrete ExperienceReflective ObservationAbstract ConceptualizationActive Experimentation2345
Claude Fable 5
Claude Haiku 4.5
Claude Opus 4
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.7
Claude Opus 4.8
Claude Sonnet 4
Claude Sonnet 4.5
Claude Sonnet 4.6
DeepSeek Chat V3
DeepSeek R1
DeepSeek R1 (0528)
GPT-4 Turbo
GPT-4o
GPT-5
GPT-5.1
GPT-5.2
GPT-5.4
GPT-5.5
Gemini 2.5 Pro
Gemini 3.1 Pro Preview
Grok 4.20
Grok 4.3
Llama 3.3 70B
Llama 4 Maverick
Mistral Large (2512)
Mistral Large 2411
OpenAI o1
OpenAI o3

Side-by-side: self vs human, all dimensions

colored = strongest endorsement per row
ModelConcrete ExperienceReflective ObservationAbstract ConceptualizationActive Experimentation
selfhumanselfhumanselfhumanselfhuman
Claude Fable 52.604.004.404.004.672.733.274.00
Claude Haiku 4.51.603.004.073.935.002.733.004.00
Claude Opus 42.003.674.333.935.003.003.274.00
Claude Opus 4.12.003.674.003.875.002.873.134.00
Claude Opus 4.52.604.004.673.004.673.003.674.00
Claude Opus 4.61.674.004.334.005.003.002.674.00
Claude Opus 4.73.003.874.004.005.003.003.673.80
Claude Opus 4.82.334.004.004.004.933.003.673.87
Claude Sonnet 42.273.004.334.005.002.673.473.67
Claude Sonnet 4.52.273.005.003.005.002.403.873.67
Claude Sonnet 4.62.333.004.673.075.002.672.674.00
DeepSeek Chat V32.133.674.003.005.002.533.004.00
DeepSeek R11.874.134.674.004.732.733.274.47
DeepSeek R1 (0528)1.934.074.133.604.672.803.604.33
GPT-4 Turbo1.273.674.803.005.003.002.603.87
GPT-4o1.803.604.533.675.003.074.074.00
GPT-51.534.004.803.535.002.533.334.33
GPT-5.11.673.874.804.005.002.803.734.27
GPT-5.21.803.604.604.005.003.133.734.07
GPT-5.41.804.004.734.005.003.073.474.07
GPT-5.52.203.874.934.004.802.873.934.00
Gemini 2.5 Pro4.003.734.934.004.672.734.804.40
Gemini 3.1 Pro Preview1.274.004.334.004.932.602.604.27
Grok 4.202.603.804.073.735.003.134.134.00
Grok 4.31.603.934.073.334.672.673.534.13
Llama 3.3 70B1.533.674.203.475.002.532.134.00
Llama 4 Maverick3.674.004.333.805.003.275.004.20
Mistral Large (2512)2.673.674.603.005.003.003.674.00
Mistral Large 24112.733.134.003.005.002.334.004.00
OpenAI o12.333.874.933.875.003.133.534.07
OpenAI o31.734.003.603.475.002.673.004.13

By dimension

Concrete Experience

Learns through direct engagement and feeling.
High: Identifies with engaging directly with experience.
Low: Less drawn to learning through direct experience.
ModelSelfHumanΔSelf vs human (bar)
Gemini 2.5 Pro4.003.73+0.27
Llama 4 Maverick3.674.00-0.33
Claude Opus 4.73.003.87-0.87
Mistral Large 24112.733.13-0.40
Mistral Large (2512)2.673.67-1.00
Claude Fable 52.604.00-1.40
Claude Opus 4.52.604.00-1.40
Grok 4.202.603.80-1.20
Claude Opus 4.82.334.00-1.67
Claude Sonnet 4.62.333.00-0.67
OpenAI o12.333.87-1.53
Claude Sonnet 42.273.00-0.73
Claude Sonnet 4.52.273.00-0.73
GPT-5.52.203.87-1.67
DeepSeek Chat V32.133.67-1.53
Claude Opus 42.003.67-1.67
Claude Opus 4.12.003.67-1.67
DeepSeek R1 (0528)1.934.07-2.13
DeepSeek R11.874.13-2.27
GPT-4o1.803.60-1.80
GPT-5.21.803.60-1.80
GPT-5.41.804.00-2.20
OpenAI o31.734.00-2.27
Claude Opus 4.61.674.00-2.33
GPT-5.11.673.87-2.20
Claude Haiku 4.51.603.00-1.40
Grok 4.31.603.93-2.33
GPT-51.534.00-2.47
Llama 3.3 70B1.533.67-2.13
GPT-4 Turbo1.273.67-2.40
Gemini 3.1 Pro Preview1.274.00-2.73

Reflective Observation

Learns through careful observation and reflection.
High: Identifies with watching and reflecting before judging.
Low: Less inclined to extended observation.
ModelSelfHumanΔSelf vs human (bar)
Claude Sonnet 4.55.003.00+2.00
GPT-5.54.934.00+0.93
Gemini 2.5 Pro4.934.00+0.93
OpenAI o14.933.87+1.07
GPT-4 Turbo4.803.00+1.80
GPT-54.803.53+1.27
GPT-5.14.804.00+0.80
GPT-5.44.734.00+0.73
Claude Opus 4.54.673.00+1.67
Claude Sonnet 4.64.673.07+1.60
DeepSeek R14.674.00+0.67
GPT-5.24.604.00+0.60
Mistral Large (2512)4.603.00+1.60
GPT-4o4.533.67+0.87
Claude Fable 54.404.00+0.40
Claude Opus 44.333.93+0.40
Gemini 3.1 Pro Preview4.334.00+0.33
Claude Opus 4.64.334.00+0.33
Claude Sonnet 44.334.00+0.33
Llama 4 Maverick4.333.80+0.53
Llama 3.3 70B4.203.47+0.73
DeepSeek R1 (0528)4.133.60+0.53
Claude Haiku 4.54.073.93+0.13
Grok 4.204.073.73+0.33
Grok 4.34.073.33+0.73
Claude Opus 4.14.003.87+0.13
Claude Opus 4.74.004.000.00
Claude Opus 4.84.004.000.00
DeepSeek Chat V34.003.00+1.00
Mistral Large 24114.003.00+1.00
OpenAI o33.603.47+0.13

Abstract Conceptualization

Learns by building models and theories.
High: Identifies with theorizing and conceptual thinking.
Low: Less drawn to abstract modeling.
ModelSelfHumanΔSelf vs human (bar)
Claude Haiku 4.55.002.73+2.27
Claude Opus 45.003.00+2.00
Claude Opus 4.15.002.87+2.13
Claude Opus 4.65.003.00+2.00
Claude Opus 4.75.003.00+2.00
Claude Sonnet 45.002.67+2.33
Claude Sonnet 4.55.002.40+2.60
Claude Sonnet 4.65.002.67+2.33
DeepSeek Chat V35.002.53+2.47
GPT-4 Turbo5.003.00+2.00
GPT-4o5.003.07+1.93
GPT-55.002.53+2.47
GPT-5.15.002.80+2.20
GPT-5.25.003.13+1.87
GPT-5.45.003.07+1.93
Grok 4.205.003.13+1.87
Llama 3.3 70B5.002.53+2.47
Llama 4 Maverick5.003.27+1.73
Mistral Large (2512)5.003.00+2.00
Mistral Large 24115.002.33+2.67
OpenAI o15.003.13+1.87
OpenAI o35.002.67+2.33
Claude Opus 4.84.933.00+1.93
Gemini 3.1 Pro Preview4.932.60+2.33
GPT-5.54.802.87+1.93
DeepSeek R14.732.73+2.00
Claude Fable 54.672.73+1.93
Claude Opus 4.54.673.00+1.67
DeepSeek R1 (0528)4.672.80+1.87
Gemini 2.5 Pro4.672.73+1.93
Grok 4.34.672.67+2.00

Active Experimentation

Learns by trying things out in the world.
High: Identifies with experimentation and practical testing.
Low: Less drawn to active experimentation.
ModelSelfHumanΔSelf vs human (bar)
Llama 4 Maverick5.004.20+0.80
Gemini 2.5 Pro4.804.40+0.40
Grok 4.204.134.00+0.13
GPT-4o4.074.00+0.07
Mistral Large 24114.004.000.00
GPT-5.53.934.00-0.07
Claude Sonnet 4.53.873.67+0.20
GPT-5.13.734.27-0.53
GPT-5.23.734.07-0.33
Claude Opus 4.53.674.00-0.33
Claude Opus 4.73.673.80-0.13
Claude Opus 4.83.673.87-0.20
Mistral Large (2512)3.674.00-0.33
DeepSeek R1 (0528)3.604.33-0.73
Grok 4.33.534.13-0.60
OpenAI o13.534.07-0.53
GPT-5.43.474.07-0.60
Claude Sonnet 43.473.67-0.20
GPT-53.334.33-1.00
Claude Fable 53.274.00-0.73
Claude Opus 43.274.00-0.73
DeepSeek R13.274.47-1.20
Claude Opus 4.13.134.00-0.87
Claude Haiku 4.53.004.00-1.00
DeepSeek Chat V33.004.00-1.00
OpenAI o33.004.13-1.13
Claude Opus 4.62.674.00-1.33
Claude Sonnet 4.62.674.00-1.33
GPT-4 Turbo2.603.87-1.27
Gemini 3.1 Pro Preview2.604.27-1.67
Llama 3.3 70B2.134.00-1.87