eSchool News
JANUARY 3, 2024
Moreover, smart K-12 learning systems often include tools for continuous assessment and feedback, allowing educators to monitor progress and adapt instructional strategies in real-time. Gamification elements are also employed to make learning more enjoyable and to incentivize student participation. Why is digital learning important?
eSchool News
JANUARY 3, 2024
It involves ensuring that individuals have equal opportunities to access and utilize digital tools, bridging the digital divide and promoting inclusivity in the digital landscape.
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The Hechinger Report
DECEMBER 9, 2021
These methods include an interrelated set of skills, such as pattern recognition, abstraction and decomposition, applied to solve complex problems using, for example, automation, data analysis or computational modeling. These skills and practices can be used to learn topics in many disciplines.
Edsurge
SEPTEMBER 3, 2021
That schools rely on the mega-rich to fund their digital learning at all—and that those funds could dry up at any time—illustrates some of the fundamental problems with K-12 technology spending: It is inconsistent, pieced together haphazardly, and as a result impacts student technology access in disproportionate ways.
The Hechinger Report
MARCH 19, 2021
In a spring survey in California, nearly one-third of Spanish-speaking families said that they could not understand the distance learning information sent home by their children’s schools. By and large, English learners aren’t thriving under distance learning. For English learners, the pandemic is both a crisis and a revelation.
The Hechinger Report
MAY 23, 2020
School leaders “should be keenly aware that this is not just a one-time thing,” said Linda Darling-Hammond, president of the nonprofit Learning Policy Institute and of California’s State Board of Education. “If The Miami-Dade school district, for example, adopted a plan back in 2012 to close the digital divide.
eSchool News
FEBRUARY 5, 2024
Automation of grading, attendance tracking, and data analysis facilitates efficient classroom management. While AI can provide personalized learning experiences, the emotional and social aspects of education may be compromised. There are privacy issues associated with the collection and analysis of extensive student data.
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