This episode’s topics: 

1. Is AI cheating? What is the impact on intellectual property? Learner assessment? Heck, even job replacement? These questions are both philosophical and pragmatic. What about the value of critical thinking... and does AI take that application away? We explore ways to use AI more effectively... but recognize we cannot even fathom some of the consequences, yet.
2. In the spirit of Christmas and Santa Claus, is it ok to ever lie to your learners? What is the value of the "white lie?" What is fiction in the context of learning? Is it a lie? How do we use or adapt case studies? We discuss the more nuanced, ethical questions related to the truth in the context of learning.

Joining Matt and Clark is Karl Kapp. Karl is a professor of instructional technology and the Director of the Institute for Interactive Technologies at Bloomsburg University. He is also the founder of the Learning and Development Mentor Academy where he offers tons of self-paced workshops and live sessions for seasoned L&D professionals. He also co-founded Enterprise Game Stack, a company that designs, develops and delivers online, digital card activities and games that keep participants focused, engaged, and collaborative, while reinforcing learning both in the moment and over time. 

You can find Karl on LinkedIn here: https://www.linkedin.com/in/karlkapp/ 

And on his website here: https://karlkapp.com 

Episode Notes:

1. Matt refers to the book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz. https://www.amazon.com/Everybody-Lies-Internet-About-Really-ebook/dp/B01AFXZ2F4/ref=sr_1_1?crid=32XE7RFU8662&keywords=Everybody+lies&qid=1703693836&sprefix=everybody+lies%2Caps%2C98&sr=8-1 
2. Karl refers to Damned Lies and Statistics by Joel Best. https://www.amazon.com/Damned-Lies-Statistics-Untangling-Politicians/dp/0520274709/ref=sr_1_1?crid=1NIS0ITNOKV1A&keywords=lies%2C+damned+lies%2C+and+statistics&qid=1703693953&sprefix=Lies%2C+damned+li%2Caps%2C92&sr=8-1 
3. Clark refers to Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics by Allan Collins, John Seely Brown, and Susan E. Newman. https://psycnet.apa.org/record/1989-98135-013
4. Scott Page wrote The Model Thinker: What You Need To Know To Make Data Work For You. https://www.amazon.com/Model-Thinker-What-Need-Know-ebook/dp/B07B8D3V9V/ref=sr_1_1?crid=12ZCGDWY9C3GI&keywords=The+Model+Thinker&qid=1703694035&sprefix=the+model+thinker%2Caps%2C98&sr=8-1
5. And, Scott is from the University of Michigan.