This week, Education Dive wrapped up its coverage of the 2016 ISTE conference in Denver, highlighting interesting tech tools we saw on the show floor and district tech chiefs' advice on device deployment pitfalls.
Meanwhile in higher ed, what are the ethics of big data on campuses? A recent meeting at Stanford sought to develop best practices and ethics around student data mining, determining how colleges could best use the information for mutual benefit with students. Additionally, some research around higher ed's 50% doctoral attrition rate attributes mental health disorders and stress as a primary cause, but there are ways institutions can work to curb that number.
Be sure to check out our look at whether modern standards are breeding a decline in cultural literacy and more in this week's most-read posts from Education Dive!
- 7 ed tech tools to note from ISTE 2016: From programmable STEM robots to powerful adaptive, personalization and analytics platforms, you'll want to keep an eye on these classroom tools.
- Are modern standards breeding a decline in cultural literacy?: Professors say the focus of Common Core and other universal education standards negate cultural learning, which may be affecting student performance overall.
- The ethics of big data in higher education: While big data continues to grow as a premier campus tool in retention and student outcomes, where do institutions draw the line on the ethical use of predictive data?
- District tech chiefs share 4 device deployment pitfalls [ISTE 2016]: A panel of California K-12 IT administrators talked about their own experiences with 1:1 device rollouts, suggesting a number of solutions for their peers.
- How colleges contribute to a 50% doctoral attrition rate: Stress, mental illness and a culture that many students call repressive has created an abysmal completion rate for students in terminal degree programs.
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