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Reflecting on AI in Learning and Teaching

We invite instructors to reflect on the pedagogical possibilities and ethical implications of using AI to promote alignment between technology, values, and learning outcomes. We have included a list of reflection questions organized by focus area to guide this process.

Reflection Questions

Pedagogy

  1. What are my pedagogical values around emerging technologies like AI, and how does AI align or conflict with my teaching philosophy?
  2. Where am I willing or unwilling to experiment with using AI in learning and teaching?
  3. How does AI use align or conflict with my overall vision for how students should reach learning goals?
  4. Am I using AI in ways that support—and not replace—my professional judgment and creativity?

Course Design

  1. To what extent does AI enhance or diminish my course content (e.g., activities, assignments, assessments)?
  2. To what extent does AI use conflict or align with established learning outcomes?
  3. Which framework(s) for AI use would work well in my course?
    • Closed (AI does not support the learning outcomes)
    • Conditional (AI use permitted with boundaries)
    • Open (AI use is permitted)

Course Delivery

  1. How might I use AI to personalize learning experiences for my students (e.g., adapted content, dynamic feedback)?
  2. In what ways can AI tools reduce or increase my cognitive or administrative workload?
  3. What are the challenges (e.g., structural barriers, pay walls) and opportunities (e.g., assistive tools, language support) of AI use around accessibility and inclusion?
  4. To what extent does the use of AI in the classroom spark—or potentially disrupt—student motivation, engagement, creativity and interpersonal connection?

Assessment and Curricular Change

  1. Am I clearly communicating why AI use is permitted or prohibited in my syllabus?
  2. What strategies can I use to design assessments that counteract AI misuse?
  3. How can I use AI to increase the clarity of assignment rubrics and decrease unspoken or assumed expectations?
  4. Could AI help departments/programs in the curriculum mapping process (e.g.,mapping learning outcomes, visualizing curriculum coverage, identifying gaps or redundancies)?

Community and Vitality

  1. What are some effective ways to spark dialogue with colleagues about the ethical implications of AI in our field and to develop shared guidelines or resources?
  2. How can I collaborate with colleagues to exchange insights, strategies, and obstacles related to AI integration?
  3. Where do I currently stand emotionally and intellectually when it comes to AI?
  4. What support do I need to feel confident integrating AI into my teaching?

Scholarship of Teaching and Learning (SoTL)

  1. What are my current knowledge and skill levels with using AI?
  2. What is my current assessment of the strengths, weaknesses, opportunities, and threats (SWOT) of using AI in learning and teaching?
  3. How familiar am I in the current literature on AI in my disciplinary context?
  4. What unique perspectives or experiences could I contribute to the growing SoTL conversation by turning my curiosity about AI into a SoTL project or publication?