Failure to disrupt why technology alone can’t transform education 1st Edition by Justin Reich 9780674089044 0674089049

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Product details:

ISBN 10: 0674089049

ISBN 13: 9780674089044

Author: Justin Reich

Proponents of massive online learning have promised that technology will radically accelerate learning and democratize education. Much-publicized experiments, often underwritten by Silicon Valley entrepreneurs, have been launched at elite universities and elementary schools in the poorest neighborhoods. But a decade after the “year of the MOOC,” the promise of disruption seems premature.

In Failure to Disrupt, Justin Reich takes us on a tour of MOOCs, autograders, “intelligent tutors,” and other edtech platforms and delivers a sobering report card. Institutions and investors favor programs that scale up quickly at the expense of true innovation. Learning technologies―even those that are free―do little to combat the growing inequality in education. Technology is a phenomenal tool in the right hands, but no killer app will shortcut the hard road of institutional change.

“I’m not sure if Reich is as famous outside of learning science and online education circles as he is inside. He should be…Reading and talking about Failure to Disrupt should be a prerequisite for any big institutional learning technology initiatives coming out of COVID-19.”
―Inside Higher Ed

“The desire to educate students well using online tools and platforms is more pressing than ever. But as Justin Reich illustrates…many recent technologies that were expected to radically change schooling have instead been used in ways that perpetuate existing systems and their attendant inequalities.”

Table of contents:

Part I: Three Genres of Learning at Scale

1. Instructor-Guided Learning at Scale: Massive Open Online Courses

2. Algorithm-Guided Learning at Scale: Adaptive Tutors and Computer-Assisted Instruction

3. Peer-Guided Learning at Scale: Networked Learning Communities

4. Testing the Genres of Learning at Scale: Learning Games

Part II: Dilemmas in Learning at Scale

5. The Curse of the Familiar

6. The Edtech Matthew Effect

7. The Trap of Routine Assessment

8. The Toxic Power of Data and Experiments

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