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Kathy Fiedler

How to Gain Parent Buy-In for Classroom Technology « Indiana Jen - 0 views

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    Every teacher who has attempted to integrate technology into the classroom knows that getting parents on board can sometimes be a challenge. It's not uncommon for the parent of a struggling child to be on the phone with you asking questions like: "Why do you need to use technology to teach math/social studies/English/biology?" or "This is an AP history class  - not computer science!" Your efforts to engage students and develop important 21st century skills can become the scapegoat explanation for problems that have nothing to do with tech. So, how do we as educators get these parents into our corner? Here are some strategies I've used successfully to gain parent buy-in.
Jennifer Dorman

New Study Shows Time Spent Online Important for Teen Development - MacArthur Foundation - 0 views

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    Key points: -There is a generation gap in how youth and adults view the value of online activity. -Youth are navigating complex social and technical worlds by participating online. -Young people are motivated to learn from their peers online. (this is a key finding in the study and very relevant to educators) -Most youth are not taking full advantage of the learning opportunities of the Internet. (another finding that could impact the way teachers engage students in online learning) "The research demonstrates that, although many young people are developing a broad range of sophisticated new literacy and technical skills, they are also facing new challenges in how to manage their visibility and social relationships online."
Fred Delventhal

Smart.fm - The World's Sharpest Learning Tool. - 18 views

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    Smart.fm takes the burden out of learning by automatically creating a learning schedule that adapts to the individual's performance and needs. The system combines proven learning science with the latest in adaptive, semantic and social Web technologies. Powered by personalized learning algorithms, Smart.fm measures memory strength on a granular item by item basis. The algorithms are based on decades of research on optimum learning patterns in the fields of cognitive science and neuroscience.
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