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New spaces for teaching, learning and supervision
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Five technologies that will help colleges meet digital-age students’ expectations 

Five technologies that will help colleges meet digital-age students’ expectations  | Creative teaching and learning | Scoop.it

"AI is another technology that, while still in its early stages, appears poised to transform higher ed in significant ways ..."

  1. Predictive analysis
  2. AI
  3. Chatbots
  4. "Nudge' technology
  5. AR and VR
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Report proposes ethical practices for use of predictive analytics in higher ed -- Campus Technology

Report proposes ethical practices for use of predictive analytics in higher ed -- Campus Technology | Creative teaching and learning | Scoop.it

"The latest report on predictive analytics from New America proposes five guidelines for ensuring the ethical use of student data in recruiting and retention, such as the avoidance of bias in predictive models and algorithms ...."

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The promise and peril of predictive analytics in higher education

The promise and peril of predictive analytics in higher education | Creative teaching and learning | Scoop.it

"In this report we look at how predictive analytics are used in higher education and the ethical concerns associated with its use..."

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Application essays can help students get into college. Could they also predict their success? | EdSurge News 

Application essays can help students get into college. Could they also predict their success? | EdSurge News  | Creative teaching and learning | Scoop.it

"In higher education, predictive analytics often draw from data that an institution has readily available about its students: grades, attendance, online ..."

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MIT professors push data-based model they say is more predictive of academic's future success than traditional tenure review methods

MIT professors push data-based model they say is more predictive of academic's future success than traditional tenure review methods | Creative teaching and learning | Scoop.it

"MIT management professors push data-based model they say is more predictive of an academic's future research success than traditional methods of peer review in tenure ..."

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