Four New Reasons LearnPlatform Has the ‘Most Charming Team in EdTech’

If it seems like every few months we’re introducing you to a handful of new team members, well, that’s because we are. As LearnPlatform continues to grow and reach new districts across the country, so does our diverse team of passionate educators, researchers and technologists. This “charming” group of individuals (as we’ve been called) is helping to drive the mission of expanding equitable access for all students to the best edtech around. So, what can we say? We enjoy bragging on them a little bit. Here are a few of the newer faces around the LearnPlatform office.

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How Danvers Public Schools Improved EdTech Vetting, Requests and Analytics with a Single Solution

In an effort to control the safety of the edtech tools were being used, Danvers Public Schools created a product request system to provide teachers with a process for suggesting tools they thought would be beneficial. Unfortunately, the sheer magnitude of the system proved to be more daunting than expected.

That’s when the district discovered LearnPlatform and its edtech management capabilities.

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How One California School District Organized and Streamlined its EdTech to Answer Key Questions on Utilization

Resting between the Pacific coast and the San Francisco Bay is Portola Valley Elementary School District (PVSD), home to two schools that serve the needs of nearly 600 students. See how this California-based school district utilized LearnPlatform to create its own district-wide edtech library, design teacher request workflows and implement individual teacher libraries to better share edtech usage with parents.

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Weighing the Value of Breadth and Depth in Measuring EdTech Utilization

When it comes to educational technology, school and district-level officials can’t theorize about the effectiveness of a given app or digital tool without first understanding who is using it, how it is being used, how often it is accessed and its ultimate impact on student learning. 

The challenge is, for many organizations, edtech “data” often comes in the form of peer reviews, social media Q&As, biased product websites and other sources that don’t paint a full picture of a particular tool’s pros and cons.

So where can schools and districts look to find sufficient data on their digital learning inventories?

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Four Utah LEAs Leading the Way in EdTech Measurement and Management

Aligned with Utah’s Digital Teaching & Learning Initiative (DTLI), the Utah Education Network (UEN) and Utah State Board of Education (USBE) chose to offer a pilot of LearnPlatform to local education agencies in the state.

The comprehensive edtech management system gave all Utah educators the ability to see and share their experiences with education technology tools and provided streamlined inventory management, fidelity monitoring, product impact measurement and reporting for DTLI grants and other needs.  

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No More "Gambling Feeling" — ATLIS Expands its Data-Led Edtech Management Capabilities

The Association of Technology Leaders in Independent Schools (ATLIS) is a growing network of more than 175 independent schools stretched across the U.S., covering 28 states (including the District of Columbia) and sharing knowledge and resources to improve the impact of digital learning for more than 4,000 students nationwide.

But recently, ATLIS members found themselves needing more data-led insights into the costs, usage and effectiveness of their edtech tools.  So they turned to LearnPlatform.

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What Do Broad EdTech Trends Mean for Your School District?

When you think about it, the rise of education technology within society is very new—the most extreme in terms of human history, innovative in terms of education systems and still considered “emerging” in terms of technological advances. There has been an explosion in the amount spent on technology in school districts—for example, the amount spent on IT in 2018 is estimated at $14 billion—and it has been accelerated by the ability to use real-time data to measure success and usage, rather than traditional assumptions about user experiences. Today, millions of pieces of data are gathered, stored and used to make evidence-based decisions on how to implement a technology.

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Karl Rectanus