Education
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4 hours agoAI Forces College Professor to Get Typewriters for Entire Class
Typewriters in class encourage students to engage more with each other and the learning process, contrasting with modern digital distractions.
In fact, when prompted strategically by researchers, Claude delivered the near-complete text of Harry Potter and the Sorcerer's Stone, The Great Gatsby, 1984, and Frankenstein, in addition to thousands of words from books including The Hunger Games and The Catcher in the Rye. Varying amounts of these books were also reproduced by the other three models. Thirteen books were tested.
The forgetting curve explains how quickly people lose newly learned information if it is not reinforced. First introduced by Hermann Ebbinghaus in the late 19th century, the Ebbinghaus forgetting curve demonstrates that we forget information quickly after we first learn it, and then the rate of forgetting slows down over time.
The human brain is engineered to ignore most of what it sees and hears, according to the neuroscientists I interviewed for the audio original Viral Voices. If that's the case, how are you supposed to make a memorable impression? The empowering news is that if you understand how the brain works, what it discards, and what it pays attention to, you'll be far more persuasive than you've ever imagined. Persuasive people have influence in their personal and professional lives.
US researchers found that engaging in intellectually stimulating activities throughout life, such as reading, writing or learning a new language, was associated with a lower risk of Alzheimer's disease, the most common form of dementia, and slower cognitive decline. The study author Andrea Zammit, of Rush University Medical Center in Chicago, said the discovery suggested cognitive health in later life was strongly influenced by lifelong exposure to intellectually stimulating environments.
During this Black History Month, let us attend for a moment to the reading achievement gap, as it affects all of us regardless of race. Here's why. Lack of literacy is linked to some of the biggest and costliest problems in society: spiralling special education spending, school dropouts, juvenile delinquency, incarceration, poverty, and mental health (NSBA, 2019; Vacca, 2008; Vacca, 2004; Nelson & Gregg, 2012). We all pay for these problems, at the very least in taxes.
At its core, the curve of learning represents how quickly proficiency increases through experience. The learning curve theory shows that improvement is not linear. At first, people might feel confused and make mistakes, which can slow progress. After some time, though, they start to improve faster. Eventually, as they approach mastery, progress may slow again.
It might come as a surprise to learn that the brain responds to training in much the same way as our muscles, even though most of us never think about it that way. Clear thinking, focus, creativity, and good judgment are built through challenge, when the brain is asked to stretch beyond routine rather than run on autopilot. That slight mental discomfort is often the sign that the brain is actually being trained, a lot like that good workout burn in your muscles.
Neuroscientists have a name for the brain network that fires up when you're not focused on an external task: the default mode network, or DMN. It's the constellation of regions - the medial prefrontal cortex, posterior cingulate cortex, and angular gyrus among them - that hums to life when you daydream, reflect on yourself, or think about other people's mental states.
"We don't have a platform for this." "We don't have an LMS." "We just need something simple." "We don't really have the budget for eLearning." And suddenly, every Instructional Designer and Learning Experience Designer in the room feels a tiny wave of professional panic. Because let's be honest: most of us were trained, socialized, and rewarded in environments where "good learning" was synonymous with technology. Authoring tools. Learning platforms. Interactive modules. Video. Simulations. Analytics dashboards. AI-powered everything.
Today's eLearning solutions use algorithms for many things, including recommendations for courses, tags for skills, scores for completions, heat maps, and metrics for engagement levels. Anyone interested in eLearning sees learning in new ways; all of those ways are measurable, sortable, and optimizable. We seem to have come a long way in terms of learning. Through data-driven learning, one can increase efficiency, personalize learning, and scale it up.
Learning time awareness plays a quiet role in how people think, act, and learn. It shapes how long someone stays focused, when they respond, and how they pace tasks. Many learners use this skill daily without naming it. Skill based arcade gameplay offers a clear way to observe this behavior. Players rely on timing, not chance. Each action depends on when it happens. Over repeated play, players develop a better sense of time perception in games and beyond.