An AI-generated episode based on a blog post:https://hackscience.education/2024/03/22/why-we-scaffold/

An AI-generated episode based on a post from my blog:https://hackscience.education/2017/12/27/natural-technology/

An AI generated episode extending a blog posts I wrote about three papers:The first paper, written by Vannevar Bush in 1945, predicted the rise of computers and their ability to store and access vast amounts of information, envisioning a future where researchers could readily navigate and contribute to a massive interconnected knowledge base. The second paper, published by Claude Shannon in 1948, laid out the mathematical foundation for reliable communication over long distances, revolutionizing how data is transmitted across networks. Finally, J.C.R. Licklider's 1960 paper explored the concept of "man-computer symbiosis," suggesting that humans and computers could work collaboratively to solve complex problems, with each entity taking on tasks suited to their respective strengths.

I wrote a blog post some years ago after leaving a position where leaders I judged to be narcissistic were in charge. I summarized when I had learned about these folks. Recently, I had generative AI create a podcast based on my post.It summarized the post:The author, a teacher of almost 30 years, examines the presence and impact of narcissistic educators in schools. He identifies several behaviors and characteristics associated with narcissistic educators, including an overreliance on their authority, a Pollyannaish attitude towards failure, and a tendency to challenge the competence of others. The author emphasizes the negative effects of narcissistic educators on the school environment and encourages readers to distance themselves from these individuals, as they can hinder effective teaching and learning.and created this episode.

This episode was generated by AI and is based on the chapter entitled "Learner Tasks" from my 2015 book.

An AI-generated episode from the chapter of my 2015 book entitled "System Capacity."

An AI-generated episode based on a paper I presented at a conference in 2016.

AI generated based on a published chapter.

An interesting episode from Notebook LM. I uploaded a paper I presented a few years ago. The LLM appeared to begin as an interview format with one of the voices playing the expert, but that did not develop in the episode. Further, it made a reference to a specific tool, but only one of the two that were integrated in that part of project.

AI-generated podcast based on a chapter from my 2015 book.

Yet another episode generated by uploading a PDF of a chapter I have written to Notebook LM.

Yet another episode in which I used Notebook LM to create a two-way deep dive conversation based on a chapter from my 2015 book,

Another episode created with the "deep-dive conversation" tool in Notebook LM. This is based on a chapter from my 2015 book.

My third episode created using Notebook LM. It is based on Ackerman, G. (2018). Open source online learning in rural communities. In I. Bouchrika, N. Harrati, & P. Vu. Handbook of research on learner experience and usability in online education. IGI-Global.

An audio version of an "elevator pitch" blog post introducing this idea that is central to network security.

My second episode created using Notebook LM based on my earlier writing. This one is the tw0-way deep dive conversation generated from a PDF of:Ackerman, G. (2020). Leadership and the adoption of innovative planning. In. J. O’Connor (Ed.), Strategic leadership in PK-12 settings, (pp. 65-81). IGI-Global.

A colleague and I were exploring Notebook LM. I uploaded a PDF of a book chapter I wrote a few years ago, and had the AI create a "deep dive conversation." This episode is that audio.

This is an audio version of a blog post. The audio was created using a text to voice tool.

The IT we have in school is far more sophisticated than it was for previous generations.

Gary explains how AI can be used as a tutor.

We often want technology to be all three, but that isn't possible.

Gary describes this well-kn0wn framework as a rationale for collaborative technology planning in schools.

Gary argues school IT must be configured for diverse students users.

Gary share some advice on how to decide what gets done first when addressing broken technology in schools.

There are differences between the folks who use IT systems in business and industry and those who use IT in schools. These important differences are explained in this episode.

A brief introduction to cloud computing, including why we might adopt it to meet the infrastructure needs of schools.

Gary describes some of the special rules and considerations related to privacy and security in schools. Reference is made to laws that are specific to the United States.

In this episide, Gary describes some of the sometimes unknown complexities of working in schools.

Gary suggests school leaders do not always provide good supervision and evaluation of IT leaders and suggests some strategies for improving how that is done.

Gary suggests we can understand IT in schools by using a framework of fie layers.

Gary talks about trends in educational technology.

Humans' perceptions of technology are affected by their experiences when young--at least according to Gary. Hear about natural technology in this episodes.

This is a brief episode about leadership and the need for critical assessment of ideas.

Gary describes the two types of problems we encounter in school IT.

Gary gives and overview of technology we have in schools and makes an observation about IT professionals.

Decision making that leads to appropriate, proper, and reasonable school IT often follows the iterative process described in this episode.

A bonus episode in which I reflect on a story about a student and computing in schools.

A brief episode on how different IT professionals and educators can be. This explains the need for collaboration when making school IT decisons.

UTAUT is the version of technology acceptance that I find most useful. In this episode, I explain it.