AI-generated content is rapidly flooding the web, raising worries about “model collapse” (AIs learning from AI output and getting blander or less reliable). At the same time, agent tools are arriving: OpenAI’s AgentKit, stronger guardrails, and one-click connections to third-party apps (Canva, Spotify, Zillow, etc.). Instead of browsing and clicking, we’ll increasingly tell agents to act—triage email, search, draft, check policies, and even complete purchases via instant checkout and “agentic commerce.” Partnerships (e.g., Walmart/Shopify, Thermo Fisher) and fast adoption of media tools like Sora suggest this assistant-as-platform model is accelerating.
For education, this shift means students (and faculty) may interact with the web through agents, not pages. That boosts productivity but raises new questions: Are results unbiased? Are ads creeping into answers? Did the system verify facts against authoritative sources—or just remix AI-made text? Colleges will need simple disclosure norms, routine verification, and clear guardrails so learning focuses on reasoning and judgment, not just polished output.
Discussion Questions
• How should we teach “agent literacy” (giving precise instructions, verifying steps, checking sources) alongside traditional digital literacy?
• If assistants can act inside apps and checkout flows, what policies prevent covert advertising or pay-to-rank results in student work?
• What is a fair, simple AI-use disclosure students can add to every assignment (tool, purpose, prompts, human edits)?
• Design a 20-minute class activity that tests for “model collapse” (e.g., compare three agent answers on a niche topic and trace their sources). What would you grade?
• Where can our campus safely pilot agents this term (ticket triage, LMS housekeeping, FAQ replies)? What single metric decides if the pilot continues?
• When an agent completes multi-step tasks, what evidence of student thinking (notes, version history, oral checks) should be required to curb “reward hacking”?
• If more course research happens through assistants, which authoritative sources should we whitelist—and how do students verify claims against them?
Related
Published by Michael Lance Whisenant, PhD
I am a strategic thinker who lives at the intersection of technology, people, and systems. My background spans learning technologies, information security, research, and business, and I am at my best when I am solving complex problems, building bridges between organizations, and turning ideas into structured, real-world solutions. In practice, that has meant designing and supporting digital ecosystems, working across IT, security, and operations to make tools actually work for people. I work extensively in Microsoft 365, including Entra ID, Intune, Security, and Exchange, managing access, policies, compliance, and integrations to keep environments both usable and secure. I have implemented information security policies, led risk assessments, and responded to incidents, while also collaborating with stakeholders to streamline workflows, introduce AI-driven tools, and improve the way teams teach, learn, and work. I am comfortable sitting with messy systems, mapping them out, and then building processes and solutions that are clear, reliable, and scalable.
I hold a PhD in Learning Technologies, and that research mindset shapes how I approach everything. I ask good questions, gather evidence, map systems, and make thoughtful decisions. I have published and presented on technology, education, and human performance, and I continue to study how people learn, adapt, and make decisions in tech-heavy environments. I am comfortable moving between strategic planning and hands-on execution, whether that involves refining a process, architecting a solution with IT, or building a narrative that brings others on board.
Looking ahead, I am interested in roles and ventures where I can combine strategy, research, information technology, problem solving, and marketing to grow something meaningful. I bring energy, clear thinking, and the ability to connect the right people and opportunities, whether that is inside an institution, across a region, or in a new business venture.
Research interests: technology proficiency, information security, technology-based learning environments, connectivism, artificial intelligence, machine learning, human resilience, human performance improvement, ethics, human cognition, and human–computer interaction.
View more posts