Faculty and Staff AI Resource Repository

Evidence-Based AI Integration

Implement research-backed strategies for effective AI integration in your teaching practice with proven frameworks and measurable outcomes.

AI Repository > Teaching Innovation > Evidence-Based Integration

Scaffolded Integration

Research Findings:

  • Gradual introduction improves adoption
  • Step-by-step implementation increases success
  • Structured support enhances outcomes

Implementation Steps:

  1. Start with basic AI tools
  2. Build complexity gradually
  3. Monitor and adjust

Active Learning Enhancement

Research Findings:

  • AI supports deeper engagement
  • Interactive learning improves retention
  • Personalized feedback increases effectiveness

Implementation Steps:

  1. Design interactive activities
  2. Incorporate AI feedback loops
  3. Create reflection opportunities
Student Engagement Increase 32%
Assignment Completion Rate 28%↑
Learning Outcome Achievement 41%↑

SAMR Model Integration

Substitution

AI tools replace traditional methods without functional change

Augmentation

AI provides functional improvement to traditional tasks

Modification

AI allows for significant task redesign

Redefinition

AI enables new tasks previously inconceivable


Best Practices Framework

  1. Clear learning objectives alignment
  2. Structured implementation plan
  3. Regular assessment and adjustment
  4. Student feedback integration
  5. Continuous improvement cycle

Common Integration Challenges:

  • Challenge: Technology resistance
    Solution: Gradual introduction with clear benefits demonstration
  • Challenge: Learning curve
    Solution: Structured training and ongoing support
  • Challenge: Quality control
    Solution: Implementation of verification protocols
  • Challenge: Student equity
    Solution: Universal access provisions and support

Quantitative Metrics

  • Performance improvements
  • Engagement metrics
  • Completion rates
  • Assessment scores

Qualitative Feedback

  • Student surveys
  • Faculty observations
  • Learning reflections
  • Process documentation