Teaching Resources

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Best Practices

Some key takeaways when designing a course.

  1. Backwards design. Start with what you want students to know when they have completed the course and work backwards.
  2. Learning Outcomes provide a framework for how your course (or program will be structured). Learning outcomes should be student-centered statements that are specific, measurable and relevant. Outcomes should be written first to help frame the course and what students will be able to do when they complete the course (or program). Outcomes should follow the formula below:
    1. An action word (Blooms Taxonomy) that identifies what students will demonstrate.
    2. A statement about what learning is taking place.
    3. Broad statement for acceptable performance.

Additional Resources

Inclusive Pedagogy

Is the content and language inclusive of all individuals or exclusive of some?

Inclusive Pedagogy ≠ Compromised Pedagogy

  • seeks to create an environment, and ultimately and ecosystem, that supports learning by all students
  • recognizes different learning needs
  • values diverse perspectives as part of learning and knowledge generation
  • requires reflection on our approach to teaching

Universal Design for Learning

Supporting instructors in proactively considering student needs to reduce or eliminate barriers to learning and increase paths to student success

The UDL guidelines help:

  • minimize or eliminate barriers and challenges to learning
  • give students an equal opportunity to learn
  • provide flexible approaches to teaching and learning through choice and autonomy
  • acknowledge the variability of students
  • offer varied methods, pathways and strategies to support all learners
  • increase students’ personal awareness, reflection and self-regulatory skills
  • encourage feedback to learn and grow

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Inclusive Syllabus

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:

  • Student Learning Outcomes connect to EDJI content
  • Learning-Focused
  • Essential Questions
  • UDL Connections (Universal Design for Learning)
  • Inclusive Motivation Language
  • Supportive Course Policies
  • Accessible Design

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Difficult Conversations

Going beyond a “safe” space and creating a “brave” space for difficult conversations.

Content Accessibility

Resources for creating content and materials that are accessible to all students.

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Assessment

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)

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AI in Education Resources

Use of Generative AI in Dissertations, Theses and Scholarly Projects

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:

  • Submitting GenAI-generated text, figures, tables, code, or other materials as original work without proper authorization and disclosure;
  • Using GenAI to generate or substantially contribute to core scholarly components, including research questions, hypotheses, literature reviews, analytical arguments, or interpretations of data, without prior approval;
  • Fabricating, manipulating, or altering research data or results using GenAI tools;
  • Using GenAI systems to generate citations or references without verification of their accuracy and existence in the scholarly record;
  • Uploading or entering confidential, proprietary, unpublished, or sensitive research data—including human subjects data—into publicly accessible GenAI systems or tools that do not meet institutional data security requirements.

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.

Advisor/Mentor Responsibilities

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:

  • Prohibit the use of GenAI entirely for a given project;
  • Permit limited uses of GenAI aligned with this policy; or
  • Approve specific, clearly defined uses of GenAI, provided such uses are documented and disclosed.

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.

Student Responsibility

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:

  • Identify the GenAI tool(s) used;
  • Describe the specific purpose(s) for which the tool was used;
  • Clarify the extent of use, including whether the tool contributed to editing, organization, coding, or other functions; and
  • Affirm that all intellectual content, analysis, and conclusions are the student’s own.

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.

Program Director / Graduate Affairs Committee Responsibility

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.

Questions?