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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📚 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.