EdTech Connect: Ep. 75 – Tawnya Means: Human Plus AI and the Future of Teaching
Date: February 20, 2026
Host: Jeff Dillon
Guest: Tawnya Means, Founding Partner & Principal, Inspire Higher Ed
Achievement: Reached #4 on Apple Podcast Education Category
Episode Overview
This episode explores the intersection of human connection and artificial intelligence in higher education. Host Jeff Dillon engages with Tawnya Means, a seasoned edtech leader and founder of Inspire Higher Ed, to examine how colleges and universities can innovate responsibly. The conversation delves into preserving what makes education human while exploiting technological advancements—especially AI—to create more equitable, impactful learning experiences. The episode is a practical and visionary roadmap for leaders, faculty, and anyone seeking the future-ready transformation of teaching and learning.
Key Discussion Points & Insights
1. The Roots and Philosophy Behind Inspire Higher Ed
[02:40 – 04:57]
- Tawnya’s background in educational technology and information science informs her mission to bridge institutional realities with technological possibilities.
- Emphasis on education-first design: technology should support, not dictate, pedagogy.
- “Technology is a supporting role. The solutions… need to be implemented with an understanding of how learning works and not just as a tool that gets kind of passed into the system.” – Tawnya Means [04:00]
2. What Real Innovation Looks Like in Higher Ed
[06:31 – 09:57]
- Scaling has come with trade-offs: moving away from intimate learning models for mass education has decreased individual effectiveness.
- The holy grail: combining studio/tutoring model personalization with accessibility and scalability via tech.
- “The innovation… is not about adopting new tools… but what kinds of learning experiences are now available at scale, and how can we empower those?” – Tawnya [08:32]
3. Persistent Challenges to Modernization
[10:45 – 14:43]
- Change fatigue is widespread post-pandemic, with rapid tech shifts undermining system trust.
- Misaligned incentives: Faculty are told to innovate and use tech but are rewarded primarily for research, not teaching innovation.
- ‘Shiny object’ syndrome: Many mistakenly place the tech before pedagogy.
- “Being able to keep up with changes is nearly—well, I’ll say it is impossible.” – Tawnya [11:46]
- Practical fix: Embed shared language around what “good teaching” and effective tech use mean.
4. Small Institutions: Punching Above Their Weight
[15:29 – 17:46]
- Smaller schools have advantages: closer relationships, easier piloting, nimbleness.
- Success hinges on focus: pilot high-impact interventions, leverage visible faculty champions, use low-cost/free tools, and ensure professional development keeps pace.
5. The Promise (and Limits) of AI in Teaching
[18:20 – 21:29]
- Tawnya emphasizes the Human + AI partnership, not replacement.
- AI should enhance—not replace—student learning. Ideal uses: on-demand tutoring for deep understanding, student-driven practice and exploration.
- “We need to help students...learn with AI, not just about AI,” advocating for AI as a ‘thought partner.’ – Tawnya [19:19]
- Examples: AI as a tutor (clarifying concepts, providing practice problems, mentoring students through processes).
6. Frameworks for Real-World Institutional Change
[22:29 – 25:14]
- Introduction of a “three-tier framework” for AI integration:
- AI Literacy: Faculty awareness & regular discussion with students.
- AI Competency: Faculty integrate AI meaningfully into teaching.
- AI Expertise: Faculty innovate and create transformative learning scenarios with AI.
- Success measured not by training attendance, but by long-term faculty and student application and growth.
7. Accessibility, Equity, and Inclusion by Design
[25:48 – 27:13]
- Accessibility seen as a mindset, not a compliance burden; vital for expanding learning opportunities.
- “If you are designing learning such that it’s going to be accessible to as many learners as possible, then you are empowering and expanding learning for everyone.” – Tawnya [26:10]
- Need for accessibility to be “baked into” tech and processes from the start, not retrofitted.
8. Defining and Measuring Success in EdTech Initiatives
[27:45 – 29:26]
- Sustainability: Does the initiative still have an effect 6+ months later?
- Engagement: Faculty-student & student-student engagement matter.
- Culture: True progress is cultural—openness, cross-campus collaboration, safe spaces for experimentation.
- “Is the culture changed? ... Do we have people starting to open their minds?” – Tawnya [28:41]
9. A Lasting Message for the Future
[29:59 – 31:47]
- The only constant is change—but that’s not a bad thing.
- The human elements of learning—community, wisdom, character—are irreplaceable, even as tech evolves.
- “As [edtech and AI] shape what’s happening in the world, we use our relationships as… how do we improve who we are as people?... this becomes the bastion of that, the place for that being projected.” – Tawnya [31:26]
Notable Quotes & Memorable Moments
-
On Pedagogy over Tools:
“Pick a high-impact problem, pilot it, and don’t try to change the whole institution at once.” – Tawnya [16:10] -
On Change Fatigue:
“The trust in the system is depleted... that’s not ever going to be part of our world anymore.” – Tawnya [12:36] -
On AI as a Partner:
“It’s not to think of [AI] as a replacement for a human, but as a partner. Whether it’s a thought partner, whether it’s a cognitive capability that you’re enhancing or expanding...” – Tawnya [18:36] -
On the Future of Higher Ed:
“I hope that we… further the relationship building, that we turn to things that make us more human as educational technologies and artificial intelligence and all that, as they kind of shape what’s happening in the world.” – Tawnya [31:20]
Timestamps for Key Segments
- [02:40] – Origin & Mission of Inspire Higher Ed
- [07:07] – Defining Innovation in Practice
- [10:45] – Top Challenges: Change Fatigue, Incentives, Shiny Object Syndrome
- [15:29] – EdTech at Smaller Institutions: Tips & Advantages
- [18:20] – Human + AI: Future of Teaching & Learning
- [22:29] – The Three-Tier AI Framework for Faculty Development
- [25:48] – Making Equity & Accessibility Foundational
- [27:45] – Success Metrics: Sustainability, Engagement, Culture
- [29:59] – Final Vision: Human Relationships in a Tech-Driven World
Tone and Style
Throughout the episode, Jeff fosters a tone of practical optimism, while Tawnya blends realism about higher ed’s obstacles with an unwavering commitment to reform. The language is collegial, accessible, and deeply informed by classroom realities and systemic challenges.
For more insights and resources, visit edtechconnect.com.
