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Education Technology: An Evidence-Based Review
The J-PAL study, was previewed at an MIT conference in spring 2017.
jpal  RCTs  impact  evaluation  research 
16 days ago by WBedutech
Warren Buffett quote: What the human being is best at doing is interpreting...
What the human being is best at doing is interpreting all new information so that their prior conclusions remain intact
research  evidence  assessment  impact  bias 
27 days ago by WBedutech
David Dwyer | USC
10 years directing the Apple Classrooms of Tomorrow Project in the research wing of Apple Computer
apple  acot  research 
5 weeks ago by WBedutech
Has the Game Really Changed? Notes From the 2017 Games for Change Festival | EdSurge News
quote: “Games on the market have almost no relationship with research. And research have almost no relationship with games on the market,” -- including are links to 10 'must read' research papers
videogames  gaming  gamesforchange  research 
7 weeks ago by WBedutech
Guidelines for Conducting and Reporting EdTech Impact Research in U.S. K-12 Schools
Guidelines for Conducting and Reporting EdTech Impact Research in U.S. K-12 Schools
impact  evaluation  research  ethics 
7 weeks ago by WBedutech
Technology and Child Development: Evidence from the One Laptop per Child Program
wow, it takes a LONG time for journal articles to appear (this paper was basically written five years ago)
olpc  impact  evaluation  research 
12 weeks ago by WBedutech
Effects of classrooms’ architecture on academic performance in view of telic versus paratelic motivation: a review
For all of the talk about personalized learning, this personalization is often virtual -- teachers and learners tend (more or less) to continue to inhabit the same communal spaces
architecture  impact  research 
june 2017 by WBedutech
Universal adversarial perturbations
Given a state-of-the-art deep neural network classifier,
we show the existence of a universal (image-agnostic) and
very small perturbation vector that causes natural images
to be misclassified with high probability. We propose a systematic
algorithm for computing universal perturbations,
and show that state-of-the-art deep neural networks are
highly vulnerable to such perturbations, albeit being quasiimperceptible
to the human eye. We further empirically analyze
these universal perturbations and show, in particular,
that they generalize very well across neural networks. The
surprising existence of universal perturbations reveals important
geometric correlations among the high-dimensional
decision boundary of classifiers. It further outlines potential
security breaches with the existence of single directions
in the input space that adversaries can possibly exploit to
break a classifier on most natural images.
research  steganography  cloaking  ocr  images  cameras  hack  hidinginplainsight 
april 2017 by WBedutech
When Personalized Learning Is a Logical Fallacy | EdSurge News
“A product cannot be evaluated outside of its educational context. The contextual factors are huge. So a product just can’t be efficacious or not. It always has to be contextualized.”
personalizedlearning  adaptivelearning  edsurge  michaelfeldstein  research  impact  evaluation 
january 2017 by WBedutech
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