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Link Pack: Technology, Data, & Education

Link Pack: Technology, Data, & Education

How Affective Data Could Change Learning Outcomes from EdTech

“So how would having emotionally intelligent computers change education? For one thing, it would give teachers more insight into which students are struggling with the course material so they could offer immediate assistance. Affective computing could also identify which students are breezing through a subject, so they can be further challenged.”

Facebook, Amazon, Code.org, Google, Microsoft and others create coalition to lobby for K-12 computer science funding from GeekWire

“A recent Google-Gallup poll showed only one in four schools teach any computer science at all, the coalition said. Of computer science students trained in the United States, the majority are white men. By offering a broad K-12 education initiative, traditionally disadvantaged groups including women and minorities will have a chance to participate from an early age in a field that offers high social mobility.”

The Responsibility of Schools of Education in Preparing Teachers to Teach With Tech from Huffington Post

“According to a new survey of over 4,300, teachers in the U.S., the majority call for a bigger role when it comes to creation and selection of education technology. Sixty-three percent of educators reported that they should be the primary decision maker for what technologies enter their classroom. However, only 38 percent are currently consulted during the process.”

Higher Education and the Data Revolution from RefMe

“In ten years’ time, it’s possible to envisage a digital HE sector, with data-driven universities operating within a smart, connected environment. In this vision, universities would routinely use data drawn from many sources and devices to design and deliver their services, allocate resources, and monitor their performance.”

The Future of Big Data and Analytics in K-12 Education from Education Week

“It's now common, for example, for classrooms to use learning software and digital games that generate extensive data that can be mined for evidence of student learning. At the macro level, districts routinely analyze large data sets containing information on students' academic performance, attendance patterns, and even involvement with other public agencies. The results are used to predict which students are likely to become disengaged or drop out of school, then to intervene accordingly, among other purposes.”

Lessons and Progress: Building the Data Analysis and Collection Tool for OCHA ROMENA

Lessons and Progress: Building the Data Analysis and Collection Tool for OCHA ROMENA

Link Pack: Innovation Analytics & Policy

Link Pack: Innovation Analytics & Policy