Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
I agree. Most students are not trying to break the rules, they are trying to navigate a system that often hasn't defined them clearly. The question is no longer whether AI should be used in higher education. Students are already using it. The real question is when, how, and for what purpose it should be used. Clear expectations, AI literacy, and assessment redesign are far more valuable than blanket bans. When institutions provide guidance instead of ambiguity, students can focus on learning rather than guessing where the boundaries are. The challenge isn't AI. It's governance, transparency, and intentional design.
LinkedIn General AI Discourse Founder, Student Education Diagnostics | Neuros… 2026-05-29T13:0…
Coding Result
DimensionValue
Primary valuetransparency
Secondary valueaccountability
Alignment targetunclear
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes the need for clear expectations, guidance, and intentional design, which implies a desire for transparency in how AI is used in higher education.
Target justificationThe speaker is primarily concerned with the impact of unclear rules on students, highlighting the need for institutions to provide guidance to support student learning.
Coded at2026-06-11T08:29:32Z
Raw LLM Response
``` { "value_primary": "transparency", "value_secondary": "accountability", "target": "students", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes the need for clear expectations, guidance, and intentional design, which implies a desire for transparency in how AI is used in higher education.", "target_justification": "The speaker is primarily concerned with the impact of unclear rules on students, highlighting the need for institutions to provide guidance to support student learning." } ```