Some key takeaways when designing a course.
Is the content and language inclusive of all individuals or exclusive of some?
Inclusive Pedagogy ≠ Compromised Pedagogy
Supporting instructors in proactively considering student needs to reduce or eliminate barriers to learning and increase paths to student success
The UDL guidelines help:
Creating an inclusive syllabus sets the tone for the class, begins relationship-building with students, provides critical information in a clear and concise way, and supports a culture of inclusion and belonging.
What to include:
Going beyond a “safe” space and creating a “brave” space for difficult conversations.
Resources for creating content and materials that are accessible to all students.
What are you assessing, and why?
Assessments require application and critical thinking skills.
Rubrics: Providing rubrics as a means of assessing information can outline for students how they will be evaluated as well as provide some objective criteria.
Grading with CARE (Consistency and Clarity; Accurate Assessments; Rubrics and References; EDJI – Equity, Diversity, Justice and Inclusion)
Dissertations, theses, and other culminating scholarly projects must reflect the student’s original intellectual work, including the development of ideas, analysis, interpretation, and written expression. Generative artificial intelligence (GenAI) tools may be used in a limited and controlled manner as described below; however, such tools must not replace the student’s independent thinking, scholarly judgment, or authorship.
Non-Substantive Use (Permitted without prior approval)
Use of GenAI that does not alter meaning, reasoning, or intellectual contribution. These include grammar correction, minor stylistic edits, formatting, and transcription. Use of AI-based literature curation tools is permitted provided that students perform synthesis and written literature reviews without GenAI assistance. Only clearly non-substantive functions are allowed. When in doubt, treat use as substantive
Substantive Use (Restricted; requires approval)
Any use of GenAI that influences or contributes to intellectual content, including generating arguments, literature synthesis, writing sections, coding for analysis, or data interpretation.
Prohibited Use
The following are prohibited uses of GenAI:
Violations of these prohibitions will be treated as academic misconduct and may result in disciplinary action, up to and including degree revocation. Students should review the UB Academic Integrity Policy.
The dissertation or thesis advisor, in consultation with the student’s thesis/dissertation advisory committee, is responsible for establishing expectations regarding the permissible use of generative GenAI for each student’s project, consistent with this policy and applicable program standards. Students must consult with their advisor prior to using GenAI tools for any purpose beyond basic editorial support.
Advisors may:
All approvals must be communicated clearly to the student and documented in writing. In cases of ambiguity, the default expectation is that GenAI-generated substantive content is not permitted.
The use of generative GenAI does not diminish the student’s responsibility for the accuracy, originality, and integrity of their scholarly work. Students remain fully accountable for all content submitted, including any material developed with the assistance of GenAI tools. Students are responsible for complying with both program-level requirements and advisor-specific guidance. In the event of conflicting guidance, the more restrictive standard will apply.
Students are required to obtain approval for any substantive GenAI use related to the generation of their dissertation, thesis or scholarly project report. Permission should be obtained in writing prior to use of the tool. Students should maintain a written record of tool use, including identification of the tool, as well as prompts and outputs. When the student submits their thesis, dissertation or scholarly project report to their advisory committee, it must be accompanied by a one-page attestation documenting GenAI use and should be signed by both the student and the major advisor/mentor.
The attestation should include a clear and accurate disclosure of any use of generative GenAI tools in the preparation of the dissertation, thesis, or scholarly project.
The disclosure must:
In cases where GenAI use extends beyond basic editorial assistance and has been approved by the advisor or committee, students may be required to provide additional documentation beyond the attestation, such as summaries of interactions, prompts, or draft outputs, upon request.
This policy establishes baseline standards governing the acceptable use of generative GenAI in dissertations, theses, and scholarly projects. These standards define the minimum expectations for permissible use, prohibited activities, and disclosure requirements. Although the major advisor serves as the primary authority in approving any substantive use of generative GenAI, the academic program (e.g., Program Director or Graduate Affairs Committee) will maintain formal records of all such approvals. This oversight ensures that permissions are applied consistently and fairly across students, helping to prevent disparities in access to or use of GenAI tools within the program.