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SUMMARY:Enriching Electronic Textbooks - Krishnaram Kenthapadi (MSR SVC)
DTSTART:20140703T100000Z
DTEND:20140703T110000Z
UID:TALK53011@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:In the context of education\, the proliferation of low-cost an
 d increasingly accessible cloud-connected tablet devices present important
  new opportunities. With printed textbooks being digitized\, as is\, our r
 esearch address the following question: How do we enrich the experience of
  reading from digitized printed books\, on cloud-connected devices? Taking
  into account the vast amount of existing textbooks designed for tradition
 al printed medium and the potential for enabling new kinds of functionalit
 ies through the medium of electronic textbooks\, we present the results of
  our research into algorithmically diagnosing and enhancing the quality of
  textbooks.\nSpecifically\, we first describe a diagnostic tool for author
 s and educators to identify weaknesses in a textbook. We then discuss tech
 niques for augmenting different sections of a textbook with links to selec
 tive web content (web articles\, images & videos) and providing easy acces
 s to concepts explained elsewhere in the book that are necessary for under
 standing the present section. We have used a corpus of high-school and gra
 duate level textbooks from USA and India to drive our research. We have al
 so built a demonstration of the ideas running on Microsoft Surface and oth
 er Windows 8 devices as well as on Aakash\, the low cost tablet being deve
 loped by the Indian government for distribution to millions of students.\n
 \nBio: Krishnaram Kenthapadi is a Researcher at Microsoft Research Silicon
  Valley in Mountain View\, California. He graduated with a Ph.D. degree in
  Computer Science from Stanford University in 2006\, under the supervision
  of Professor Rajeev Motwani. His Ph.D. thesis is titled "Models and Algor
 ithms for Data Privacy". Before joining Stanford\, he received his Bachelo
 rs degree in Computer Science and Engineering from Indian Institute of Tec
 hnology-Madras. His recent research interest is in applying algorithmic an
 d data mining techniques for improving education. His other interests incl
 ude algorithms for the web and social networks\, privacy preserving data m
 ining\, hashing and load balancing. He received the Best Student Paper awa
 rd in the SODA 2006 conference. His WWW 2009 paper was nominated for the B
 est Paper Award.\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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