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Learning Analytics Medea Webinar, part 1
1.
INTRODUCTION TO BIG
DATA AND LEARNING ANALYTICS Erik Woning, Project Manager Innovation
2.
BEFORE WE BEGIN
…
3.
ABOUT KENNISNET
4.
5.
6.
7.
1,6 MLN
8.
1,6 MLN 500 k
9.
1,6 MLN 500 k 950
k
10.
11.
12.
13.
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
23.
24.
25.
26.
27.
28.
NEW APPROACHES TO INFORMATION MANAGEMENT
29.
30.
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
41.
42.
QUANTIFIED SELF
43.
44.
45.
46.
HOW DOES IT
FIT IN EDUCATION?
47.
CHALLENGES
48.
BIG BROTHER IS WATCHING
YOU
49.
BIG IS WATCHING YOU DATA
50.
51.
52.
53.
54.
END OF PART
1
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