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Candace Walkington Use Case

Faculty & Institution

  • Faculty: Candace Walkington
  • Institution: Southern Methodist University
  • EPP area / program: Generative AI for educators

Course Information

  • Course title: EDU 6392/7392: Generative AI for Educators
  • Course duration: One semester
  • Implementation timing: One semester
  • Student population: Mostly in-service educators, with one preservice math teacher noted in the submitted use case

AI Integration Overview

  • Use case title: Generative AI as the Core Subject and Tool of an Education Course
  • AI role: Course focus, lesson planning support, multimedia generator, chatbot/wrapper design tool, grading/feedback comparison tool, and professional learning tool
  • AI tools used: Colleague.ai, MagicSchool, and other generative AI tools named across course materials
  • Purpose: Prepare educators to use, evaluate, audit, and teach with generative AI across planning, assessment, multimedia, tutoring, feedback, and AI literacy contexts.

Activity / Task Description

Because the course is about generative AI, students could use AI for any assignment if they disclosed use, submitted a full prompting record with iteration, audited hallucinations, and audited bias. Course assignments included educational multimedia with GenAI, wrappers/chatbots, AI for grading and feedback, lesson planning, final projects, and AI-related research. Walkington specifically reported using Colleague.ai for grading and feedback on sample math work, generating math interactives, and generating lesson plans.

Do / Do-Not Guidance

  • Documented do’s: Address ethical concerns early and often; require hallucination audits; require iterative prompting records.
  • Documented do-nots: Do not use AI grading/feedback for students unless it supplements human grading; do not encourage chatbots for teachers of children below 8th grade.

Evidence & Reflections

Walkington reported that first project submissions contained many ethical issues, prompting her recommendation to address ethics earlier. She also found that students would not reliably audit hallucinations or iterate with AI unless required. Her attempted AI-assisted grading approach was “not great” and time-consuming, so she returned to human-only grading after the first project.

Materials Reviewed

  • [Template] Deliverables – Walkington.docx
  • Walkington Use Case.docx
  • EDU 6392 Generative AI for Educators.pdf
  • AI Lesson Plans Other Teacher Educators Can Use/
  • Work Samples from Pre-Service Middle School Math Teacher/

Library Tags

  • EPP area: Generative AI in education
  • AI integration type: Full-course AI integration, lesson planning, multimedia, chatbot/wrapper design, grading/feedback audit
  • Student population: Mostly in-service educators; one preservice math teacher sample
  • Implementation scale: Full semester
  • Materials available: Syllabus, lesson plan materials, work samples, deliverable form