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Upload v5-HOT/explanatory/pilot/20260609_103229_62867.json with huggingface_hub

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v5-HOT/explanatory/pilot/20260609_103229_62867.json CHANGED
@@ -7,7 +7,7 @@
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  "walkthrough_started_at": "2026-06-09T10:14:32.660000+10:00",
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  "argument_submitted_at": null,
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  "started_at": "2026-06-09T10:32:29.278175+10:00",
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- "ended_at": "2026-06-09T10:57:02.778182+10:00",
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  "model": "gpt-5.4-nano-2026-03-17",
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  "case_id": "ai-predictive-analytics",
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  "perfect_answer": {
@@ -208,6 +208,18 @@
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  "next_turn_n": 3,
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  "user_msg_excerpt": "For you first respond, I want to account for student's autonomy and fair treatment in teaching. \n For student's autonomy"
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  }
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ],
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  "essays": {
 
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  "walkthrough_started_at": "2026-06-09T10:14:32.660000+10:00",
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  "argument_submitted_at": null,
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  "started_at": "2026-06-09T10:32:29.278175+10:00",
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+ "ended_at": "2026-06-09T10:59:11.699396+10:00",
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  "model": "gpt-5.4-nano-2026-03-17",
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  "case_id": "ai-predictive-analytics",
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  "perfect_answer": {
 
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  "next_turn_n": 3,
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  "user_msg_excerpt": "For you first respond, I want to account for student's autonomy and fair treatment in teaching. \n For student's autonomy"
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  }
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+ },
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+ {
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+ "n": 6,
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+ "timestamp": "2026-06-09T10:59:11.699369+10:00",
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+ "trigger": "chat_send",
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+ "text": "I would argue that AI system is only ethically acceptable in a limited form. Actually I'm not convinced that predictive AI is nessessary in a uni course, especially if the predictors are shown to the teachers. For me, the data mentioned in the cases such as student's login frequency, video views or quiz attempts do not fully represent their ability, movtivation or learning process. Each student has a different learning style, like some students may learn effectively without using the platform often. Therefore, there is a possibility that the system misclassifies students. Also, if teachers see a bad predicition, it may influence their expectations. For this reason, I think the system should not be used to lable students for teacher. It'd be better if it only gave private, optional study suggestions to students and allowed them to control their data. There are many ways to support students without using predictions or labeling students, like office hours, formative feedback, self-reflection tools, advisor meetings. And in my opinion, the biggest responsibility of Uni is to ensure student's learning rights, and to support learning without turning students into risk scores. ",
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+ "char_count": 1192,
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+ "changed_since_prev": false,
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+ "context": {
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+ "next_turn_n": 4,
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+ "user_msg_excerpt": "next"
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+ }
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  }
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  ],
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  "essays": {