Co-Intelligence: How AI and Humans Can Work Together by Ethan Mollick presents an optimistic view of the future in which Generative AI tools complement and enhance human creativity, productivity, and decision-making. Mollick skillfully explains how healthcare, education, and businesses of all types will benefit from incorporating AI tools. However, the book falls short in addressing the critical ethical issues surrounding Large Language Models (LLMs). While Mollick touches on these topics, he fails to engage deeply with topics such as intellectual property, energy usage, and exacerbating inequalities. This review offers a critical analysis of Co-Intelligence, emphasizing the need for a deeper exploration of ethical frameworks to guide AI development.

The following are the key recommendations made by the Computer Science Working Group. All ten recommendations are needed to set the foundation for a robust and sustainable approach to computer science education. The first five recommendations have been prioritized by the working group as important first steps in achieving this plan. An important component of every recommendation is building awareness in order to address the many misconceptions about computer science and who is able to acquire and harness these skills. Awareness of computer science needs to be introduced early and able to grow over time as access to computer science education increases.

I wanted to start my last blog post with the same quotation that I used in the first, because I believe that it feels like the missing link in educational technology: My contention is, first, that we should want more from our educational efforts than adequate academic achievement and, second, that we will not achieve even that meager success unless our children believe that they themselves are cared for and learn to care for others. Nel Noddings, Caring: A Feminine Approach to Ethics and Moral Education, 1984 This quote was written almost 40 years ago, yet how many technological tools…

Reading through the history of learning technologies presents a woefully consistent approach. From the earliest mechanical computation machines, through television, the internet, and now virtual reality and artificial intelligence, the trend has always been for those in power to become enamored with the latest technology and try to shoe-horn it into the education space. Instead of asking “what is the cheapest way we can use this exciting new thing in education?”, we should be asking: “where are the weak points in education and what kind of technology would strengthen them?” Of course, it is not until recently that we would…

Link to PDF: https://www.bartucz.com/mrbartucz/wp-content/uploads/2022/01/EPSY-5124-Debugging-Away-From-Failure-2.pdf Debugging Away From Failure Or How To Avoid Unrecoverable Loss John Bartucz Department of Curriculum and Instruction University of Minnesota EPSY 5124 – Debugging Failure Dr. David DeLiema December 22, 2021 Abstract Failure means many things to many people. From a low grade on a math test in elementary school to a space shuttle explosion, the word has different meanings and consequences for all of the individuals and groups involved. How can a single event be placed at so many different places on the continuum from success to failure by so many different people? This paper…

https://www.kaaltv.com/rochester-minnesota-news/rochester-youth-technology-foundation-laptops/5711884/?cat=10151

https://www.technologyreview.com/lists/technologies/2020/