Online learning
fromArs Technica
9 hours agoTo teach in the time of ChatGPT is to know pain
Generative AI has significantly complicated the role of college instructors, making teaching more challenging and demoralizing.
The response was in Indonesian but shaped by values that centered individual autonomy over the consensus-building, social harmony and collective family dynamics that tend to matter more in Indonesian social life.
Research has shown there is a reading for pleasure crisis among children in the UK, where enjoyment of books has fallen to its lowest level in two decades. Not so here at Christ Church primary, a tiny Church of England school tucked behind the maze of HS2 construction works in Camden, north London, where children fizz with excitement about books.
Librarians have been actively collaborating and talking about it almost every day, whether it's creating tutorials and digital learning objectives or thinking about the conversations to have with instructors. It can feel like cognitive dissonance to be actively working with AI on a regular basis and also saying we're constantly thinking about the harms and the biases.
Rather than using the visual word form area in the reading brain, where images of correct spellings are stored in long-term memory for automatic proficient reading and composing, kids use technology tools, eliminating human thinking and making the machine do the work. These tools can circumvent cognitive processes, hindering elementary students from developing a large bank of correctly spelled words essential for automatic reading and literacy.
The average American checks their phone over 140 times a day, clocking an average of 4.5 hours of daily use, with 57% of people admitting they're "addicted" to their phone. Tech companies, influencers, and other content creators compete for all that attention, which has incentivized the rise of misinformation. Considering this challenging information landscape, strong critical reading skills are as relevant and necessary as they've ever been.
"If a rover comes across a crater in front of it, for instance, it can't decide what to do after communicating with Earth," he says, because sending signals across space takes too long. "It must decide on its own. So I think AI is very important for the nation's deep space exploration."