Welcome to Episode 7 of AI, WHAT THE TECH?! — the podcast where we dig into the promise and pitfalls of artificial intelligence in higher education.

This week, hosts Dr. Sean Huss and Dr. Bhaskar Ghosh sit down with Dr. Jeremy Schwehm and Professor Tiffany Nance to explore the growing tension between AI, academic integrity, and teaching in a post-ChatGPT world.

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⏱️ Timestamps

00:16 Introduction

3:24 Faculty Perspectives

5:47 Experience with AI-Generated Work

8:40 Institutional Readiness for AI Challenge

11:42 Navigating Academic Integrity

14:53 Detection and Response to AI Misuse

22:14 Navigating Academic Integrity

28:55 Shifting Focus from Detection to Prevention

36:29 Building Connection: The role of engagement in learning

42:29 Adapting Teaching Methods

46:24 Human Element in Education

47:21 Ethics and Transactional Relationship in Teaching

48:17 Rethinking Pedagogy and Teaching Philosophy

50:04 Building Trust with students

51:06 Institutional Support

53:08 Mentorship

55:31 Navigating AI Detection Challenges

1:00:16 Role of Trust in Student Engagement

1:11:33 Role of Faculty in Student Engagement

1:16:19 Policies and Procedures for AI Use

1:20:28 Human Elements

1:24:48 Introducing Episode 8 and Conclusion

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In this episode, we are joined by Will Cooper, Associate Dean for Student Conduct at Arkansas Tech University, to tackle one of the most pressing challenges in higher education today: AI-facilitated academic misconduct.

Will talks about where we are with Academic Misconduct and what are some steps we can take to help mitigate! Listen to learn more!

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⏱️ Timestamps

00:00 Introduction and Listener Feedback

1:25 The Ethics of AI and Human Relationships

5:24 Cheating in Academia : The Role of AI

9:12 Introducing Will Cooper

10:49 Defining Academic Misconduct in the Age of AI

15:20 Process of reporting Academic Integrity Violations

24:35 Navigating the Consequences of Academic Misconduct

30:01 Understanding Academic Integrity Violations

35:53 Faculty Accountability in AI Usage

42:03 Challenges of AI Detection Tools

48:00 Developing Effective AI Use Policies

54:03 Navigating AI in Academic Settings

58:05 Conclusions

Next Episode Teaser: “Misconduct is a Harsh Mistress” — we’ll hear from faculty on the front lines dealing with AI and academic dishonesty in real time.

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In today's episode, we investigate how AI is reshaping not just the tools of teaching, but the very soul of learning. From AI-powered writing assistants to digital tutors, we ask: What happened to the classroom? What happened to learning?

Featuring special guest: Dr. Jeff Aulgur Professor at Arkansas Tech University and a leader in online education, Dr. Aulgur shares his front-line experiences on student engagement, faculty burnout, and the ethical crossroads we now face.

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⏱️ Timestamps

00:00 The Transformation of Digital Classrooms

04:01 AI's Impact on Student Engagement

06:43 Adapting Pedagogy in the Age of AI

10:40 Teaching AI Literacy as a Skill

13:52 The Role of Writing in Education

17:14 Enhancing Engagement Through Collaboration

23:26 Supporting Faculty in the AI Era

26:21 The Role of Faculty Development in AI Integration

27:52 Understanding Non-Traditional Students and Authentic Assessment

30:09 The Importance of Real-World Relevance in Education

32:47 Addressing Inequities in AI Access

35:22 Institutional Solutions for Equity in AI Usage

37:40 Rethinking Academic Integrity in the Age of AI

40:47 Innovative Assessment Strategies with AI

44:49 The Future of Education: Embracing Technology and Integrity

46:48 Navigating AI in Education

49:42 The Role of Digital Literacy

52:49 Policy and Integrity in AI Usage

56:51 Engaging Faculty in AI Conversations

59:52 The Future of Human Learning

01:03:38 Concluding Thoughts on AI and Education

Up next: Academic misconduct in the AI age — cheating, fabrications, and reimagining integrity.

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💬 Got thoughts? Drop them in the comments — or answer one of our prompts!

📚 Books Chan, C. K. Y., & Colloton, T. (2024). Generative AI in higher education: The ChatGPT effect. Routledge. Shah, P. (2023). AI and the future of education: Teaching in the age of artificial intelligence. Jossey-Bass. Miller, M. (2023). AI for educators. Dave Burgess Consulting, Inc. Mollick, E. (2024). Co-intelligence: Living and working with AI. Penguin Publishing Group. Boddington, P. (2023). AI ethics: A textbook. Springer Nature. Blackman, R. (2022). Ethical machines: Your concise guide to totally unbiased, transparent, and respectful AI. Harvard Business Review Press. Bartneck, C., Lütge, C., Wagner, A., & Welsh, S. (2019). An introduction to ethics in robotics and AI. Springer. Bleher, H., & Braun, M. (2024). Reflections on putting AI ethics into practice. [Institutional publication]. Nartey, E. K. (2025). Generative AI in higher education: Guiding principles for educators. CRC Press. Beckingham, S., Lawrence, J., et al. (2024). Using generative AI effectively in higher education. Routledge.

📄 Articles and Reports Park, Y., & Doo, M. Y. (2024). Role of AI in blended learning: A systematic literature review. International Review of Research in Open and Distributed Learning. Inside Higher Ed. (2024). AI, online courses divide students, faculty, administrators. Inside Higher Ed. Faculty Focus. (2024). Embracing AI in education: Faculty perspectives on AI integration in teaching and learning. QuestionPro. (2025). Student attitudes and behaviors toward AI at ATU [Unpublished student survey data]. Arkansas Tech University.

In this episode, we dive deep into the phenomenon of AI hallucinations — not just as technical glitches, but as fundamental aspects of how large language models (LLMs) work. Joined by our first guest Angela Black, we explore how confabulation better describes what AI systems are really doing, and why this matters in fields like education, academic research, and information ethics.

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We also highlight the emerging role of librarians as crucial guides in navigating AI-generated content, building AI literacy, and safeguarding institutional integrity in a post-truth era.

⏱️ Timestamps

00:00 – The Rise of AI Hallucinations

03:14 – Understanding Confabulation in AI

05:54 – The Role of Librarians in the Age of AI

09:09 – Ethics of AI-Generated Content

12:05 – The Impact of AI on Academic Research

15:02 – Navigating the Ethical Landscape of AI

18:09 – The Future of Research and AI

21:07 – Librarians as Information Shepherds

26:42 – The Nature of AI Hallucinations

28:18 – Understanding Confabulation in AI (Revisited)

33:09 – Teaching AI Literacy to Students

39:13 – The Challenge of Misinformation

42:17 – The Role of Education in Combating Misinformation

49:19 – Developing AI Literacy Frameworks

56:47 – Conclusions

💬 Leave a comment with your thoughts or questions — and don’t forget to like, subscribe, and hit the bell for more conversations about AI, ethics, and education.

As AI becomes a central part of higher education, ethical questions take center stage. In this episode, we explore how institutions, faculty, and students can navigate the complex terrain of AI use with integrity, fairness, and human-centered design. We’re not just talking about policies—we’re talking about values.

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📌 Topics covered in this episode

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0:00 Introduction

2:54 The 7 Ethical Domains of Concern

21:45 Ethical Implications for Students

29:23 Faculty Responsibility and Leadership

35:00 Administrators and System Level Ethics

38:35 Towards a More Literate and ethical Campus

43:43 Scenarios 44:25 Leading in to next episode ____________________________________________

👉 Coming up next:

Episode 4 – Truth, Trust, and AI Hallucinations

Episode 5 – Online Education in the Age of Automation

Episode 6 – Academic Misconduct 2.0

📚 References Boddington, P. (2021). Ethics and AI: A Human-Centered Approach to Artificial Intelligence. Shah, R. (2023). AI and the Future of Education: Teaching in the Age of Artificial Intelligence. Bowen, J. A., & Watson, C. E. (2023). Teaching with AI: A Practical Guide to a New Era of Human Learning.

👍 Like this episode? Hit subscribe, tap the notification bell, and share your thoughts in the comments. Let’s build a future where AI supports—not replaces—human learning.

In this episode, we explore how artificial intelligence is reshaping teaching, learning, and assessment in higher education—and what this means for faculty, students, and institutions. AI isn't just about cheating or plagiarism detection. It represents a fundamental shift in how knowledge is created, shared, and evaluated.

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Drawing on key insights from leading books like Teaching with AI, AI for Educators, and AI and the Future of Education, we dive into:

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0:01 Introduction

1:02 AI is bigger than cheating

8:30 What's actually new about this technology?

15:24 K-12: Brief Context, Big Implications

21:19 Rethinking Assessment in Higher Ed

30:35 The Role of Faculty is Shifting

35:53 AI Literacy: The New Academic Baseline

37:57 Curriculum and Pedagogy Must Respond

39:31 Institutional Response and Policy Challenges

41:40 Change as Opportunity

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🎧 Whether you're a college professor, administrator, or just curious about the future of education, this episode unpacks where we are now—and what’s coming next.

👉 Stay tuned for Episode 3, where we’ll dig into academic integrity, ethical use of AI, and how to create trust and transparency in AI-enhanced classrooms.

📚 References Bowen, J. A., & Watson, C. E. (2023). Teaching with AI: A Practical Guide to a New Era of Human Learning.

Shah, R. (2023). AI and the Future of Education: Teaching in the Age of Artificial Intelligence. Miller, M. (2023). AI for Educators: Learning Strategies, Teacher Efficiencies, and a Vision for an AI-Augmented Classroom.

👍 Don’t forget to like, subscribe, and hit the bell to stay updated on new episodes exploring AI’s impact on education.

Dr. Huss and Dr. Ghosh kick off their podcast series with a deep dive into what AI really is, how it works, and what it means for higher education. In Episode One of AI, WHAT THE TECH?!, they unpack the myths and realities of artificial intelligence, explore its history, and discuss its growing impact on teaching, learning, and the future of universities.

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CHAPTERS:

0:00 Introduction

1:40 AI is a Messy Term -- Let's unpack it

9:33 Brief History of AI 16:28 How AI "thinks"

22:12 Why are prompts important?

25:45 Why this matters for higher education?

33:10 Rise of Agentic AI

35:55 Closing Thoughts

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References & Resources:

AI Snake Oil – https://aisnakeoil.substack.com

Teaching with AI: A Practical Guide – https://teachingwithai.com

Anthropic Research on AI Prediction – https://www.anthropic.com

Fragile Families Challenge Study – https://www.pnas.org/doi/10.1073/pnas.2004...

Join the Conversation! What are your thoughts on AI in education? Let us know in the comments! 📢 Subscribe for more insights on AI, education, and the future of learning! 🔔