The Big Data Privacy Problem for Colleges A Deeper Look at why
Transcription
The Big Data Privacy Problem for Colleges A Deeper Look at why
Big Data: Bums on Seat s M TC h e a e s B u PriW r i g e s D vaW a c t y a h P e n r o i a v n t B a a c i c e g D y r n D g P s i a r f B t o a o b y r g l h C e o m w e l a s t rA s a ofnDgD B s D k a d o o : o j e o 6 n L p s l d a r n E e n e o o p i d H p f s i e t i c O L ’ e F n e t e h a a a D e i r a C l n r s t d ) e a o y r l M s o t s G i o n e i m e n o t ( g r n a C Y a t t r a o o o a T u l D n u l r r e a g e G g C i c r e k a ’ h B s i n i s n l y l o d i g h r p w A e u W n a p P t p a t s a D feoErdFS tnltchhtilDdaretan Crisis ode MHuustrtN e g c r GoW h o o o i t a v e u g n i s n i e d u t S n o g i ataanagers t n i a d c n u e d p E m e I i v s e o M TphTrhe dHTidedacehneBrsiaasree nontBDigatD a Im Data, an Of Big Data & Little Data 💻 How Numbers Have (Almost) Ruined Everything ! Big Data # Little Data " People 3 1 Living by Numbers He does love his numbers. And they run, they run, they run him… & Living by Numbers BIG How quantity shouts louder than quality " DATA the new EdTech discourse living by numbers 5 Living by Numbers " How quantity shouts louder than quality living by numbers 6 2 God in the Numbers Business, numbers, money, people… & God in the Numbers BIG How we all got carried away 💦 DATA the new EdTech players god in the numbers 8 God in the Numbers $ How we all get carried away… Twitter Facebook $ % & ❞ The Consultants-E’s post “Want to do an e…” is performing better than 80% of other posts on that Page. Promote it to get even better results. Blogs ❞ god in the numbers 9 God in the Numbers $ How we all get carried away… Examiners Publishers ' ) ❞ With over 10 million users, we’re now able to guarantee highspeed, high-volume translations in a matter of hours. By combining the effort of multiple students translating each phrase, our algorithms are able to produce crowdsourced translations as accurate as those from skilled professionals, meeting the quality standards of major publishers. App Developers ❞ god in the numbers 10 God in the Numbers $ How we all get carried away… god in the numbers 11 God in the Numbers $ How we all get carried away… video available here: https://www.youtube.com/watch?v=2YYM209GJoE god in the numbers 12 3 Drowning by Numbers When numbers get serious, you see their shape everywhere… & Drowning by Numbers BIG How numbers give EdTech a bad name… 💦 DATA the people who question it drowning by numbers 14 Drowning by Numbers 💦 How numbers give EdTech a bad name… Neil Selwyn > Academic Scott Thornbury > Writer Philip Kerr > Writer Monash Webpage http://goo.gl/GnxUSJ A-Z of ELT Blog http://goo.gl/HCdZ3i Adaptive Learning Blog http://goo.gl/4ZC4Jp drowning by numbers 15 & Drowning by Numbers BIG How numbers give EdTech a bad name… 💦 DATA state education systems drowning by numbers 16 Drowning by Numbers 💦 How numbers give EdTech a bad name… Neil Selwyn Interviewed by Philip Kerr as part of a joint event organised by the IATEFL LTSIG and GISIG. In the full interview Philip and Neil talk about EdTech, Sugata Mitra and much more. drowning by numbers Event name : EdTech & Global Issues + Dates : November 1 - 30, 2014 , LTSIG : http://ltsig.org.uk/ , GISIG : http://gisig.iatefl.org/ Click here to listen to the whole interview… 17 Drowning by Numbers 💦 How numbers give EdTech a bad name… ❞ In contrast to the generally learner-centred ‘educational technology community’ is a set of powerful for-profit and/or conservative interests also involved in the promotion and advancement of the digital re-arrangement of education. Picciano and Spring (2013) refer to these interests as the ‘education-industrial complex’ ❞ drowning by numbers Click here to listen to the whole interview… 18 & Drowning by Numbers BIG How numbers give EdTech a bad name… 💦 DATA english language teaching drowning by numbers 19 Drowning by Numbers 💦 How numbers give EdTech a bad name… Philip Kerr Teacher trainer, lecturer and materials writer. Books include Inside Out and Straightforward (Macmillan), and Translation and OwnLanguage Activities (CUP) , ' on Amazon : http://goo.gl/2W8Zc7 ' Free ebook : http://goo.gl/mcbgll , Website : http://goo.gl/4ZC4Jp $ Facebook : http://goo.gl/XLteW0 Click here to watch Philip introducing the concept of ‘adaptive learning’… drowning by numbers 20 Drowning by Numbers 💦 How numbers give EdTech a bad name… ❞ The drive towards adaptive learning is being fuelled less by individual learners or teachers than it is by commercial interests, large educational institutions and even larger agencies, including national governments. How one feels about adaptive learning is likely to be shaped by one’s beliefs about how education should be managed. ❞ , Click here to watch Philip introducing the concept of ‘adaptive learning’… drowning by numbers 21 Drowning by Numbers 💦 How numbers give EdTech a bad name… Scott Thornbury Teacher and teacher educator, with over 30 years’ experience in ELT, and an MA from the University of Reading. Currently Curriculum Coordinator of the MA TESOL program at The New School in New York. , drowning by numbers & Twitter : http://goo.gl/euQYGG , Website : http://goo.gl/e2BzvA , Blog : http://goo.gl/6w82iR $ Facebook : http://goo.gl/jRhV5B Click here to visit Scott’s blog… 22 Drowning by Numbers 💦 How numbers give EdTech a bad name… ❞ The question then is, surely, what method of predicting failure (or of drop-out) is the most reliable, i.e. what method eliminates the most error? And/or which method can be most easily, quickly, cost-effectively improved? The data-driven method, or the (traditional) method, of teachers regularly making predictions (and communicating them to their students), based on observation of the students’ performance and/or formative tests? ❞ , drowning by numbers Click here to visit Scott’s blog… 23 Drowning by Numbers 💦 How numbers give EdTech a bad name… Philip Kerr Pit Corder Scott Thornbury Neil Postman Hugh Dellar Nicholas Carr Neil Selwyn Diane Ravitch drowning by numbers 24 & BIG Drowning by Numbers How numbers give EdTech a bad name… 💦 DATA what happens when it goes bad drowning by numbers 25 Drowning by Numbers 💦 How numbers give EdTech a bad name… John Hattie Professor of Education and Director of the Melbourne Education Research Institute at the University of Melbourne, Australia. He is author of Visible Learning, and Visible Learning for Teachers. , drowning by numbers & Twitter : http://goo.gl/LPZf9l , Website : http://goo.gl/sVeBLl . TEDx : http://goo.gl/2V5zw4 $ Facebook : http://goo.gl/U8nGXN Click here to read Hattie on feedback… 26 Drowning by Numbers 💦 How numbers give EdTech a bad name… ❞ We should focus on the greatest source of variance that can make the difference – the teacher. We need to ensure that this greatest influence is optimised to have powerful and sensationally positive effects, but they must be exceptional effects. We need to direct attention at higher quality teaching… ❞ , drowning by numbers Click here to read Hattie on feedback… 27 Drowning by Numbers 💦 How numbers give EdTech a bad name… Visible Learning was based on more than 800 meta-analyses of 50,000 research articles, about 150,000 effect sizes, and about 240 million students. A further 100+ meta-analyses completed since Visible Learning was first published have subsequently been added. , drowning by numbers Click here to read Hattie on feedback… 28 Drowning by Numbers 💦 How numbers give EdTech a bad name… Simulations / Games 0.90 Formative Feedback 0.82 Quality of Teaching 0.75 Small Group Learning 0.61 Web-Based Learning 0.49 Distance Education 0.48 Classroom Discussion 0.37 Computer-Assisted Instruction 0.33 Problem Solving Teaching Teacher Credibility 0.18 0.11 29 Drowning by Numbers 💦 How numbers give EdTech a bad name… Teacher Credibility 0.90 Classroom Discussion 0.82 Formative Feedback 0.75 Problem-Solving Teaching 0.61 Small Group Learning 0.49 Quality of Teaching 0.48 Computer Assisted Instruction 0.37 Simulations / Games 0.33 Web-Based Learning Distance education 0.18 0.11 30 Drowning by Numbers 💦 How numbers give EdTech a bad name… Much of the data on technology was gathered starting in 1987 (preWindows, pre-internet...). The earliest meta-analysis cited goes back to 1977, 25 are pre-1990 and the next 25 pre-2000 (more than half of the 114 total) Indeed, in the latest Visible Learning for Teachers, neither ‘computer’, nor ‘technology’ feature in the index at the back of the book…. , drowning by numbers Click here to read Hattie on feedback… 31 Drowning by Numbers 💦 How numbers give EdTech a bad name… John Hattie admits that half of the Statistics in Visible Learning are wrong (…) Hattie reluctantly acknowledges that the CLE has in fact been calculated incorrectly throughout the book… “People who don’t know that Probability can’t be negative, shouldn’t write books on Statistics.” , drowning by numbers Click here to read Hattie on feedback… 32 Drowning by Numbers 💦 How numbers give EdTech a bad name… Hattie declares that the use of computers (sic!) is most effective: with a diversity of teaching strategies after teacher training in appropriate use when there are multiple opportunities for learning when the student is in "control" of learning when peer learning is optimised when feedback is optimised , drowning by numbers Click here to read Hattie on feedback… 33 4 Away from the Numbers We’re still waiting, on a number from the modern man… & Away from the Numbers From big data to little data - EdTech reclaimed… 👥 LITTLE DATA the old EdTech away from the numbers 35 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Teacher Credibility 0.90 Classroom Discussion 0.82 Formative Feedback 0.75 Problem-Solving Teaching 0.61 Small Group Learning 0.49 Quality of Teaching 0.48 Computer Assisted Instruction 0.37 Simulations / Games 0.33 Web-Based Learning Distance education 0.18 0.11 away from the numbers 36 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Teacher Credibility Classroom Discussion 0.82 Formative Feedback 0.75 Problem-Solving Teaching 0.61 Small Group Learning 0.49 Quality of Teaching Computer Assisted Instruction Simulations / Games Web-Based Learning Distance education away from the numbers 37 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Classroom Discussion: Nicky Hockly https://www.youtube.com/watch?v=JEa-2S1oOg0 , away from the numbers Click here to visit Nicky’s blog… 38 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Problem-Solving Teaching: Koenraad et al video unavailable online , away from the numbers Click here to explore webquests further… 39 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Small-Group Learning: Carol Rainbow video unavailable online , away from the numbers Click here for more on mobiles in class… 40 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Formative Feedback: Russell Stannard http://goo.gl/LMGLUW , away from the numbers Click here to visit Russell’s site… 41 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Russell Stannard Ayat Tawel Graham Stanley Joy Egbert Burcu Akyol Neil Ballantyne Carla Arena Christian Newby away from the numbers 42 Away from the Numbers 👥 From big data to little data - EdTech reclaimed… Christine Bauer your name here Vance Stevens Nicky Hockly Teresa Almeida Rita Zeinstejer Elizabeth Anne Nina Liakos away from the numbers 43 Of Big Data & Little Data How Numbers Have (Almost) Ruined Everything 💻 Get the Slides… http://goo.gl/mi5XYN [email protected] 44