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Make a decision and live with it... including the consequences.

Can one be a leader in higher education, but not a "revolutionary ?"

No

to be an academic leader, one must challenge "what is known."

“This is not relevant.”

-Almost all students, almost everywhere

I asked AI to write some tweets on visualizations for my data analysis students. Here is one:

Want impactful data visualizations? Start by understanding your audience! A CEO and a custodial supervisor need different data, so tailor reports and dashboards to their specific requirements.

Not bad.

In the world of data, quality trumps quantity. Ensure your data is accurate, complete, and reliable to unlock its true potential.

Insisting on teaching older technologies prepares students for the past, not the future, potentially leaving them ill-equipped to navigate the evolving technological landscape. Sure, but I think teaching them through and by writing... with pen and paper is an ignored technology in the classroom.

Individuals tend to view the technological advancements they experienced during their youth as the pinnacle of progress. Everything leading up to that point is seen as a progression towards their "natural" technology, while subsequent innovations might be perceived as unnecessary or even detrimental.

Natural Technology refers to the technologies that were prevalent and dominant during an individual's formative years. These technologies become deeply ingrained in their understanding of the world and influence their expectations of what constitutes valuable or essential tools.

tilize technology to foster collaboration, communication, and community building within the learning environment.

When you work as an IT professional in schools, you see lots--most of it unfiltered. Teachers act as if you are not there. Many times in my career I was asked to described what I saw when I ws in classrooms.

Educators must stay ahead of the curve, offering increasingly complex and novel content to keep students engaged.

I'm so glad I was able to see "bullshit" get an academic definition, but disappointed academics find this to productive field of study.

AI is fine... but finding the meaning in the patterns... that were the intelligence is.

it amazing how much you learn if you stop talking an look folks in the eye.

I asked AI to write some tweets on visualizations for my data analysis students. Here is one:

Want impactful data visualizations? Start by understanding your audience! A CEO and a custodial supervisor need different data, so tailor reports and dashboards to their specific requirements.

Not bad.

I'm going back through my blog and adding AI-generated "deep dive" podcasts based on my posts.
buff.ly/4fXqg8O

Worked examples. If you don't include them in your instruction, please start... like right tnow.

Uploading two contradictory articles to AI designed to summarize produces some interesting results. the summaries read like the C- paper you wrote as a sophomore undergraduate student in philosophy class.

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