For tenured professors, understanding and implementing the "Two-Lane" Assessment Framework is crucial for maintaining pedagogical rigor and academic integrity in their units of study.
1. The Two-Lane Approach: Designing Assessments for 2026
Starting from Semester 2, 2025, assessments at the University are categorized into two distinct lanes. Professors are expected to clearly stipulate the AI status for every task within their Unit of Study Outlines.
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Lane 1: Secure Assessments (AI Prohibited) These are supervised, in-person tasks designed to verify that a student has personally acquired the requisite skills and knowledge. These function as "unplugged" checkpoints for core competencies.
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Faculty Role: Coordinating written exams, oral tests, or live practical performances where the use of AI is restricted to ensure individual student mastery.
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Policy: Use in these tasks constitutes a significant breach of academic integrity unless the coordinator provides express written permission for specific "AI Limited" exceptions.
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Lane 2: Open Assessments (AI Allowed/Encouraged) These are unsupervised tasks where AI can serve as a productive collaborator in the learning process.
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Faculty Role: Guiding students on the most appropriate types of AI use for essays, research reports, case studies, and creative works.
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The Goal: To build both disciplinary knowledge and AI literacy simultaneously, requiring students to acknowledge the tool's utility.
2. The Mandate for Transparency: Acknowledgment Protocols
To protect the integrity of the scholarship produced under their supervision, professors must enforce strict acknowledgment standards. Unless a specific instructor stipulates a more detailed log of inputs and outputs, students are required to include:
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The name and version of the tool
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The publisher and URL.
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A brief description of how the tool was utilized
3. Strategic Pedagogy: Using AI to Enhance Learning
While AI functions effectively as a tutor, it remains a poor replacement for the scholarly mind. Professors are encouraged to direct students to use AI for:
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Summarizing complex readings to facilitate deeper classroom discussion.
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Practicing explanations of difficult theoretical concepts.
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Brainstorming research directions when facing a mental block.
The Pedagogical Risk: Faculty must remain vigilant regarding over-reliance on AI in Open assessments. Such dependency can create significant knowledge gaps, making it difficult for students to succeed in the Secure in-person exams that are essential for degree completion.
