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L ECTURE 1 CS 294-78: Special topics on Technologies for Education and Learning at Large Scale Logistics Instructors: Prof. Dawn Song (Soda Hall 675) Dr. Elaine Shi Research scientist in security group and AMPLab Logistics


  1. L ECTURE 1 CS 294-78: Special topics on Technologies for Education and Learning at Large Scale

  2. Logistics Instructors: • Prof. Dawn Song (Soda Hall 675) • Dr. Elaine Shi Ø Research scientist in security group and AMPLab

  3. Logistics cs294.edu@gmail.com ¡ Project submissions ¡ Questions ¡ Request for meetings

  4. Logistics http://groups.google.com/groups/cs294-78-s12 ¡ Join mailing list for announcements

  5. Logistics Friday 1pm-3pm, SODA hall 405 v Part 1: 1:10pm – 1:50pm v Break: 1:50pm – 2:00pm v Part 2: 2:00pm – 2:30pm v Discussion: 2:30pm – 3:00pm

  6. Logistics Requirements: § Each student should pick a topic to survey and present & lead discussions in class § Each student should do a final project • Groups of 1-2

  7. Logistics Grading: 20% Class participation 20% Scribe notes 20% Survey presentation 40% Project

  8. I NTRODUCTION

  9. Technology trends Crowd sourcing Machine learning 0010011 Data mining 0001100 ...... Pervasive computing Social networks Multi-media technologies

  10. Forms of education v Traditional in-class education v Home schooling v Distance education v Self-education v What about the future?

  11. Discussion: Issues with Traditional Education?

  12. Discussion: Issues with Traditional Education? § No personalization or individualization • Uniform pace for all students § School and work lack connection? § Revolve around standardized tests? § Cost too high? § Too rigid? § Size of class keeps increasing

  13. C URRENT M OVEMENTS IN E DUCATION

  14. MIT Open Courseware § Started in 2000 § Over 1800 courses online § Over 35M individuals in over 200 countries § http://www.youtube.com/watch?v=tbQ-FeoEvTI&feature=relmfu

  15. Khan Academy § http://www.youtube.com/user/khanacademy?blend=1&ob=4

  16. Stanford ML online class § Fall 2011, www.ml-class.org § In video quiz § http://www.ml-class.org/course/video/preview_list § Over 80,000 students enrolled § This semester, 17 courses from Berkeley & Stanford on the same platform

  17. Other Efforts Video lectures: § http://videolectures.net/ Intelligent learning: § http://dsp.rice.edu/lml § http://www.carnegielearning.com/ § http://www.knewton.com/ Mobile learning: § http://mitmobilelearning.org/ `

  18. A BOUT THIS C OURSE CS 294-78: Special topics on Technologies for Education and Learning at Large Scale

  19. Questions § How can education benefit from new technological advances? § How can we best leverage new technologies to enhance the effectiveness and the outreach of our education system, while reducing the cost? § What are the key problems and challenges in achieving such goals?

  20. Questions § What are the structural and societal implications of these disruptive technologies for education? § How will technology change the role of schools and universities in the future?

  21. Topics covered & Schedule § Current online education efforts § Machine learning and education § Programming languages and education § Using social media and crowd sourcing to enable large-scale education § Sensor monitoring technologies for education

  22. Topics covered § Security and evaluation technologies § Game-based learning § Pervasive learning § Platform technologies § Psychology, economics of education and your suggested topics!

  23. Talk Announcement Social Media and Peer Learning: From Mediated Pedagogy to Peeragogy Howard Rheingold Monday, January 23, 5pm 210 South Hall, UC Berkeley http://www.rheingold.com/university/

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