This document provides an introduction to big data and learning analytics. It discusses how big data involves high-volume, high-velocity, and high-variety information assets that require cost-effective forms of information processing to provide insights. It also explains that big data can be used for learning analytics to create analytics and provide insights from educational data, while acknowledging challenges around privacy and surveillance.

1. INTRODUCTION TO BIG DATA AND LEARNING
ANALYTICS
Erik Woning, Project Manager Innovation

2. BEFORE WE BEGIN …

3. ABOUT KENNISNET

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8. 1,6 MLN
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14. MAIN FOCUS IS
LEARNING ANALYTICS

15. BIG DATA

16. BIG DATA LEARNING ANALYTICS

17. PART 1:
BIG DATA

18. BIG DATA IS #1

19. BIG DATA IS #1
ON THE LIST OF TOP TECH BUZZWORDS
SOURCE: GLOBAL LANGUAGE MONITOR

20. MANY DEFINITIONS
OF ‘BIG DATA’

21. IS HIGH-VOLUME, HIGH-VELOCITY
AND HIGH-VARIETY INFORMATION
ASSETS THAT DEMAND COST-
EFFECTIVE, INNOVATIVE FORMS OF
INFORMATION PROCESSING FOR
ENHANCED INSIGHT AND DECISION
MAKING.
BIG DATA

22. CORPORATE INFORMATION
MANAGEMENT

28. NEW APPROACHES
TO INFORMATION
MANAGEMENT

31. ESTABLISHED ORDER
SEE BIG DATA AS A
THREAT AND HYPE
TOP DOWN APPROACH
NEW ORDER
SEE BIG DATA AS THE
NEXT GENERATION
BOTTOM UP APPROACH

32. WHAT IS THEIR GOAL?

33. CREATE ANALYTICS

34. Source: Gartner 2013

35. Source: Gartner 2013

36. Source: Gartner 2013

37. Source: Gartner 2013

38. Source: Gartner 2013

39. Source: Gartner 2013

40. DEVELOPMENTS

42. QUANTIFIED SELF

46. HOW DOES IT FIT
IN EDUCATION?

47. CHALLENGES

48. BIG BROTHER
IS WATCHING YOU

49. BIG
IS WATCHING YOU
DATA

54. END OF PART 1