1: Foundations of Dialogic Computing

1: Foundations of Dialogic Computing

In this season premiere of The Science of Dialogue, we explore the fascinating world of dialogic computing. Host Rod J. Naquin examines three influential ideas: Mikhail Bakhtin's theory of dialogue, Alan Turing's work on machine intelligence, and John Searle's Chinese Room thought experiment. These perspectives illuminate the complex landscape of human-computer interaction, setting the stage for our season-long investigation into how dialogue shapes and is shaped by advances in artificial intelligence and computer science.

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Episoder(55)

Why the humanities matter in education

Why the humanities matter in education

The humanities aren't extra—they teach the speaking-to-writing skills that make all learning work. Ramus connected subjects through practice, while Ong showed students need to talk before they can wri...

23 Feb 11min

Why talk is upstream of text

Why talk is upstream of text

Every word we speak is shaped by who we're talking to and what response we expect. Schools should focus more on creating real conversations between everyone.

9 Feb 10min

Why epistemology matters in education

Why epistemology matters in education

Teachers and researchers clash over what counts as "real knowledge." Bridging this epistemic gap is key to making school reform actually work.

2 Feb 11min

Why I'm giving students the claims

Why I'm giving students the claims

I explicitly teach literary claims by giving students ready-made examples to prove and evaluate. This approach builds their analytical skills through clear models and guided practice instead of expect...

26 Jan 13min

How reading aloud is helping my students

How reading aloud is helping my students

I'm using daily fluency routines—model read-alouds, audio support, and partner practice—to help high school students access complex texts like The Great Gatsby and Macbeth. The practice is narrowing e...

20 Jan 11min

Learning and teaching through problems

Learning and teaching through problems

Returning to teaching after time away, I learned that folk wisdom and accepting persistent problems matter more than reform ideals. Drawing on Mary Kennedy's research and paradox theory. I explore how...

12 Jan 11min

What I’ve gotten wrong this semester

What I’ve gotten wrong this semester

I came back to teaching with big ideas about curriculum and ⁠got a lot wrong. The semester taught me that none of it matters without management, routines, and the willingness to say no.

15 Des 202512min

Clearing the fog about AI in education

Clearing the fog about AI in education

Most AI debates in education go in circles because we confuse different products, forget the human is always in charge, and treat solvable design problems as inevitable threats. Clearing up these thre...

8 Des 202512min

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