Dangerously Irrelevant
OCTOBER 15, 2021
This work often involves extremely sophisticated proficiency scaling of desired learning outcomes, student leveling diagnostics, and individualized instruction and student interventions. Some of our lower-level student learning outcomes are important and many are less so, particularly when viewed through the lens of ‘lifeworthy content.’
Edsurge
JUNE 1, 2020
That led him to his current career in academia, where much of his research focuses on how sending “nudges,” or periodic reminders, to parents and students can improve academic outcomes. Colleges already send “ nudges ” and “early-warning alerts” in an effort to boost student retention rates and reduce dropout rates.
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MindShift
MARCH 3, 2017
This time, working with the largest school district in West Virginia, they built software that communicated directly with the electronic gradebook that teachers were already using, and they used the phone numbers parents provided on class lists. Bergman told NPR Ed that he has been researching the power of texting parents for about six years.
Edsurge
AUGUST 11, 2016
on his blog , he’s opined that most adaptive software focuses on knowledge acquisition instead of helping students in learning to think and function in modern society. That’s the only way they’ll be able to study the tools and understand how they’re impacting student outcomes.
The Hechinger Report
MAY 4, 2019
One day, a friend forwarded an email about Resilient Coders, a boot camp that trains people of color for web development and software engineering jobs. Degree-holders command an 11 to 30 percent wage premium yet fail to justify that premium in productivity and other outcomes. billion in revenue last year. Closing the gap.
The Hechinger Report
JULY 1, 2018
Smart tools like lesson software that adjusts to students’ responses (and automatically provides more practice when they stumble) can enable increasingly specific levels of independence. Software can also integrate student data into teacher programs to help them track progress in ways unthinkable several years ago.
Edsurge
JULY 10, 2019
They are developing a recommendation engine to leverage dropout rate data to predict and design interventions for at-risk students. The engine will also assess the outcomes of such interventions—information that will help tailor and improve recommendations over time. Watch the video to see how it works.
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