Teach AI Ready
Practical frameworks and real classroom-tested strategies from a college educator leading the AI integration movement in higher ed.
Welcome to My Teaching Lab
I'm Prof. Ashley Evans, a professor and Program Chair at the college level with a passion for pushing the boundaries of teaching through experimentation. My work centers on creating practical, hands-on learning experiences—especially as we navigate the rapidly changing educational landscape shaped by generative AI.
This site is my digital lab: a space where I document, test, and share strategies that help educators rethink assessment, engage students authentically, and maintain academic integrity in an AI-saturated world. Whether you're an instructor looking for ideas or a collaborator exploring this space, I hope these resources inspire experimentation and conversation.
💡 Why This Site Exists
Generative AI is changing the classroom faster than most institutions can respond. This website was created as a living, evolving toolkit to:
✦ Experiment with real-world teaching strategies that respond to AI’s capabilities
✦ Share insights from active classroom trials—what worked, what didn’t, and why
✦ Collaborate with fellow educators rethinking how we assess learning in a post-AI world
✦ Document an approach rooted in curiosity, reflection, and student-centered design
AI Teaching Strategies
Use the buttons below to jump to AI-resistant or AI-inclusive teaching strategies.
✋ What Are AI-Resistant Teaching Strategies?
AI-resistant teaching strategies are designed to preserve the integrity of learning by minimizing or eliminating the effectiveness of AI-generated responses. These approaches help ensure that student work reflects authentic understanding, critical thinking, and personal engagement—rather than generic outputs from language models. The goal is to design assessments that maintain academic rigor while reducing the burden on instructors to detect AI use.
🎯 Goals of an AI-Resistant Assignment
AI-resistant assignments significantly reduce the likelihood of students earning high marks from solely AI-generated submissions.
✦ In some cases, they completely eliminate the possibility of AI assistance.
✦ In other cases, they minimize AI's ability to complete the full task on behalf of the student.
✦ Students are challenged to think critically about AI-generated output, evaluating whether it truly addresses the problem they were assigned.
✦ Instructors are relieved from acting as "AI detectives."
✨ AI-Resistant Assignment Strategies
Ideas for writing assessments that mitigate the usefulness of AI, or eliminate it completely.
✋ What Are AI-Inclusive Teaching Strategies?
AI-inclusive assignments help students engage more critically with emerging technologies by integrating AI tools into the learning process. These assignments promote deeper understanding by encouraging students to analyze, refine, or build upon AI-generated content rather than simply consume it. By incorporating AI thoughtfully, instructors can foster creativity, metacognition, and digital literacy—skills essential for academic and professional success.
🎯 Goals of an AI-Inclusive Assignment
An AI-inclusive assignment aims to integrate AI tools in a way that promotes deeper learning and creativity rather than simply enabling AI to complete tasks directly for students.
AI-Inclusive assignments should help to:
✦ Develop critical thinking
✦ Enhance problem-solving skills
✦ Promote ethical awareness
✦ Encourage AI-literacy
✨ AI-Inclusive Assignment Strategies
Ideas for writing assessments that embrace the use of AI, teaching students how to use it responsibly and ethically.
“The question isn’t whether students will use AI — it’s whether your assignments require them to think beyond it.”
About
Background
Ashley Evans is a tenured professor and program chair of Software Development and Cloud Computing at Valencia College in Orlando, Florida. She began her career in industry, working in embedded systems engineering, software quality, and reliability analysis for companies including General Motors, Siemens Energy, and Lockheed Martin. That hands-on technical foundation now informs her work as an educator of future software developers, where she applies real-world experience to curriculum design, faculty mentorship, and student development.
Leadership
Ashley leads academic initiatives focused on integrating cloud technologies and artificial intelligence into technical education, while also championing equitable, student-centered learning practices. In addition to authoring curriculum across multiple programming and cloud computing courses, she has conducted research and delivered presentations on both AI-inclusive and AI-resistant instructional strategies. Her work emphasizes instructional design that promotes accessibility, authenticity, and high-impact learning—particularly in online and hybrid environments.
Scholarship
At the 2025 "Teach with AI Conference" hosted by the University of Central Florida, Ashley presented “Designing Assignments That AI Can’t Solve: Strategies for Educators,” where she shared practical techniques for creating AI-resistant assignments that emphasize critical thinking, authentic engagement, and meaningful assessment.
Publications
Ashley’s 2025 Teach with AI Conference session was the most popular of the entire conference and sparked wide discussion in higher education circles. Her work was featured in both The Chronicle of Higher Education and Active Learning in Political Science, where she outlined key strategies for designing AI-resistant assignments and their implications for the future of teaching.
Collaboration
I’m currently booking speaking engagements and faculty workshops for the 2025–2026 academic year. If your institution is exploring AI-integrated teaching or looking to design AI-resistant assignments, I’d love to collaborate. Let’s talk!
Contact
I'd love to connect! Send me a message here.