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Early AI programs like Joseph Weizenbaum's ELIZA showed computers could process natural language in a way that felt human-like. An interesting step in AI development!

Planning involves teachers and technology specialists collaborating to prepare tech-integrated lessons for specific goals and students. It's initiated & led by teachers.

Design is iterative PD where teachers revise tech-based lessons after implementation based on student experience and technology performance. Student feedback is key.

Training is PD focused only on operating hardware/software, led by tech experts, with minimal student focus. It's about learning specific, definable tasks

Teachers alone have the expertise to decide if technology tools are appropriate for their classrooms and curriculum goals.

Remember card catalogs? They became digital databases decades ago. The first digital versions were often installed on LAN servers in the library.

For students to have autonomy, they need both permission from teachers to make decisions and the capacity to accomplish what they want. Teachers build capacity and give students space to apply learning.

Recognize that teaching "the standards" can sometimes feel like teaching artificial limits. Educators must use care in setting the bounds of knowledge, balancing standards with potential restrictions on students.

While productive struggle is good, too much can lead to frustration which inhibits learning. Teachers need to observe, teach strategies for overcoming frustration, and intervene when necessary.

Teachers must control curriculum when necessary to prevent accepting unscientific ideas in science class, like astrology. This ensures students interpret findings in terms of scientific theory.

Classrooms need a balance. Complete student control can lead to chaos, while complete teacher control can be stifling. The goal is finding the sweet spot where learning is nurtured.

Thinking about student autonomy in the classroom? It's not all or nothing! There's a continuum of student voice and choice, ranging from complete teacher control to complete student control.

Media theorists observed a deep association between culture and information technology. It's hard to perceive the reciprocal effects between technology, cognition, and culture from within that system.

Technologies originally for "information" were often quickly adopted for social interaction. Gossip, for instance, became a dominant, but unpredicted, use for systems like Minitel.

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Emergent properties are often very different from the properties of the system's individual parts. You can't predict them just by looking at the components.

The non-neutral effects of technology can be understood as emergent properties observed in complex systems. These properties appear when parts interact.

Edward Tenner coined the term "revenge effects". These are outcomes of technology that are contrary to the intended outcome, sometimes even making the original problem worse.

Unpredictability is a key characteristic that demonstrates technology is not neutral. We can't always know exactly how it will play out.

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