97 lines
4.2 KiB
JSON
97 lines
4.2 KiB
JSON
{
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"skill": {
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"name": "ocw-information-entropy-agent",
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"description": "Use the generated MIT OCW Information and Entropy pack, concept ordering, and learner artifacts to mentor or evaluate information-theory work."
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},
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"study_plan": {
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"skill": "ocw-information-entropy-agent",
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"task": "Help a learner connect Shannon entropy, channel capacity, and thermodynamic entropy.",
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"steps": [
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{
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"concept_key": "mit-ocw-information-and-entropy::thermodynamics-and-entropy",
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"title": "Thermodynamics and Entropy",
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"status": "mastered",
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"prerequisites": [
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"mit-ocw-information-and-entropy::cryptography-and-information-hiding"
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],
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"recommended_action": "Use Thermodynamics and Entropy as the primary teaching anchor."
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},
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{
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"concept_key": "mit-ocw-information-and-entropy::course-synthesis",
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"title": "Course Synthesis",
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"status": "review-needed",
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"prerequisites": [
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"mit-ocw-information-and-entropy::thermodynamics-and-entropy"
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],
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"recommended_action": "Review prerequisites before teaching Course Synthesis."
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},
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{
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"concept_key": "mit-ocw-information-and-entropy::shannon-entropy",
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"title": "Shannon Entropy",
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"status": "mastered",
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"prerequisites": [
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"mit-ocw-information-and-entropy::counting-and-probability"
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],
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"recommended_action": "Use Shannon Entropy as the primary teaching anchor."
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}
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],
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"guided_path_reference": [
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"mit-ocw-information-and-entropy::mit-ocw-6-050j-information-and-entropy",
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"mit-ocw-information-and-entropy::counting-and-probability",
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"mit-ocw-information-and-entropy::shannon-entropy",
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"mit-ocw-information-and-entropy::mutual-information",
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"mit-ocw-information-and-entropy::data-compression",
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"mit-ocw-information-and-entropy::huffman-coding",
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"mit-ocw-information-and-entropy::channel-capacity",
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"mit-ocw-information-and-entropy::channel-coding",
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"mit-ocw-information-and-entropy::error-correcting-codes",
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"mit-ocw-information-and-entropy::cryptography-and-information-hiding",
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"mit-ocw-information-and-entropy::thermodynamics-and-entropy"
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]
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},
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"explanation": {
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"concept_key": "mit-ocw-information-and-entropy::channel-capacity",
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"title": "Channel Capacity",
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"explanation": "Channel Capacity is represented in the Information and Entropy skill as part of a progression from foundational probability ideas toward communication limits and physical interpretation. It depends on huffman-coding. The current demo learner already mastered this concept, with evaluator means {'correctness': 0.8400000000000001, 'explanation': 0.85, 'critique': 0.7999999999999999}, so the skill can use it as a stable explanation anchor.",
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"source_description": "- Objective: Explain Channel Capacity as a limit on reliable communication over noisy channels.\n- Exercise: State why reliable transmission above capacity is impossible in the long run.\nThis lesson develops Channel Capacity, Reliable Commun"
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},
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"evaluation": {
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"concept_key": "mit-ocw-information-and-entropy::thermodynamics-and-entropy",
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"submission": "Therefore entropy = uncertainty in a message model, but one limitation is that thermodynamic entropy and Shannon entropy are not identical without careful interpretation.",
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"verdict": "acceptable",
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"aggregated": {
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"correctness": 0.8400000000000001,
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"explanation": 0.85,
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"critique": 0.6499999999999999
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},
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"evaluators": [
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{
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"name": "rubric",
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"dimensions": {
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"correctness": 0.8,
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"explanation": 0.85
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},
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"notes": "Heuristic scaffold rubric score."
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},
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{
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"name": "symbolic_rule",
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"dimensions": {
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"correctness": 0.88
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},
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"notes": "Stub symbolic evaluator."
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},
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{
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"name": "critique",
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"dimensions": {
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"critique": 0.6499999999999999
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},
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"notes": "Stub critique evaluator."
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}
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],
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"skill_reference": {
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"skill_name": "ocw-information-entropy-agent",
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"mastered_by_demo_agent": true
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},
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"follow_up": "Extend the answer with an explicit limitation or assumption."
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}
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} |