Gary Ackerman @garyackerman@qoto.org

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.
https://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.

"Include neutral technologies in your classrooms..." um... you know there is no such thing... right?

It is fun seeing people here who I saw on that other space.

Confidence and competence are not the same.

If we were more skeptical of technology, we’d be more successful with it. This applies to both adopters and deniers.

CLT recognizes human cognitive architecture limitations. Working memory struggles with high element interactivity, especially when dealing with new information.

Overfit and underfit are popular buzz words with AI today—models with “memorize” answers and spit them back or apply too broad generalizations.

Educators have much experience with this. We have seen our students do it for generations.

So much data is wrong at the schema level.

Every so often it strikes me that “high quality” in many contexts means “what the client wants.” It seems an easy to achieve, but potentially dangerous, benchmark.

Electronic portfolios can capture artifacts of student performances and products on authentic projects. This allows for a more complete picture of student learning than standardized tests alone.

Information technology has strong, active influences on society, so schools need to change. Just like Plato was skeptical of writing, some resist technology in education. However, we can't afford to ignore the impact of technology on our students.

The nature of work is changing rapidly, and schools need to adapt to prepare students.

Schools are slow to change compared to other organizations.

School leaders are expected to make technology decisions, but often find it challenging, so they defer to others.

Data analysts have a wide variety of tools at their disposal, from simple spreadsheets to powerful analytics suites. Choosing the right tool is crucial for success.

Online learners are no different from face-to-face learners. While individuals in each group do select their preferred classroom for recognized reasons (e.g. online learners’ preference for flexible attendance schedules), the best students in both settings are those who engage with the content, classmates, and the teacher.