the future of big data in education
TRANSCRIPT
Marty McFly alias Hendrik Drachsler@HDrachsler, #SR15, 23.12.2015
De Toekomst van Big Data in het Onderwijs
What is Big Data?Voorbeeld:
The Google Flue trendtechnology …… kun nu ook voor onderwijs toegepast worden.
@Hdrachsler, #SR15
The Big Data Economy Example:
The Google Flue trendtechnology …… can also be applied now for education.
New MIT study
5http://ifets.info/journals/15_3/4.pdf
17Graph by Rob Koper. Data science voor de realisatie van online activerend onderwijs.
Presentation given at Dag van het Onderwijs (5 November 2015). Heerlen. The Netherlands
New insights
LearningActivities
Studytime in days
17Graph by Rob Koper. Data science voor de realisatie van online activerend onderwijs.
Presentation given at Dag van het Onderwijs (5 November 2015). Heerlen. The Netherlands
New insights
LearningActivities
Studytime in days
Chances vs. Issues of Learning AnalyticsChances1.Monitoring learning while it happens2.On demand Learning Measures3.Personalize education4.Identify studentsat risk early5.Reflection and Feedback support
Dangers1. Data not protected2. Anonymisation3. Unfair discrimination4. Different behaviour
through panoptic effect
5. No trust into the organisation
@Hdrachsler, #SR15
Step 1: Short presentation of a vision (Marty)
Step 2: Rate Vision on (Audience)
1. ‘haalbaar’ =‘feasible’ 2. ‘wenselijk’ = ‘desirable’ By raising your hands!
Envision the future of Learning Analytics …
@Hdrachsler, #SR15
Vision 1: 2025, LA are essential tools for educational management
10Pic by: Janneke Staaks, https://www.flickr.com/photos/jannekestaaks/14204590229/
• A wide range of data about learner behaviour is used
• This generates good quality, real-time predictions about likely study success
• Learners, teachers, managers and policymakers have access to live information from schools
Vision 2: 2025, Learning analytics support self-directed autonomous learning
11Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/
• No Curricula and assessment anymore
• Students create communities for own learning goals
• Analytics support information exchange and group collaborations
• Teachers become MENTORS
Vision 3: 2025, analytics are rarely used in education
12Pic by: Tara Hunt, https://www.flickr.com/photos/missrogue/94403705
• Courses that are automated by analytics are seen as inferior
• There have been major leaks and misuse of sensitive personal data
• All use of data for educational purposes has to be approved by the learners and inspectorates
Vision 4: 2025, classrooms monitor the physical environment to support learning and teaching
13Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/
• Furniture, pens, writing pads – almost any learning tool uses sensors.
• Information is used to monitor learners’ progress.
• Teachers are alerted to signs of individual learner’s boredom, confusion, and deviation from task.
Vision 5: 2025, most teaching is delegated to computers
14Pic by: Charis Tsevis, https://farm6.staticflickr.com/5215/5470451264_c0612f2102_z_d.jpg
• Enormous datasets containing information about millions of learners
• Computers suggest successful routes for learning
• Recommendations are better informed and more reliable than by even the best-trained humans
Vision 6: 2025, personal data tracking supports learning
15Pic by: SparkFun, https://www.flickr.com/photos/sparkfun/4536382170/
• Sensors gather personal information about factors such as posture, attention, rest, stress, blood sugar, etc.
• This data helps people to master skills as swimming, driving, and passing examinations
• Programmes using this data to optimise learning for different ages and courses
Vision 7: 2025, individuals control their own data
16Pic by: Gideon Burton, https://www.flickr.com/photos/wakingtiger/3157622608
• People are aware of the importance and value of their data.
• Learners control the type and quantity of personal data that they share, and with whom they share it
• Most educational institutions run campaigns to raise awareness of the risks and exposure of data
Summary of the audience• The most feasible Vision at Serious Request is
Vision Number …
• The most desirable Vision at Serious Request is Vision Number ...
• The most feasible and desirable Vision at #SR15 is Vision Number ...
@Hdrachsler, #SR15
“The future of Learning Analytics” by Hendrik Drachsler, OUNL was presented at 3FM Serious Request 2015 in Heerlen, Netherlands 23 December, 2015.
Questions or Comments to: [email protected] OR @HDrachsler
This work was undertaken as part of the LACE Project, supported by the European Commission Seventh Framework Programme, grant 619424.
www.laceproject.eu@laceproject
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