a multimodal learning analytics view of html5 apis: technical benefits and privacy risks

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A MULTIMODAL LEARNING ANALYTICS VIEW OF HTML5 APIs: TECHNICAL BENEFITS AND PRIVACY RISKS Pablo Garaizar & Mariluz Guenaga DeustoTech Learning University of Deusto TEEM'2014, Salamanca, Spain

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Pablo Garaizar and Mariluz Guenaga. DeustoTech Learning University of Deusto

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Page 1: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

A MULTIMODAL LEARNING ANALYTICS VIEW OF HTML5 APIs: TECHNICAL BENEFITS AND PRIVACY RISKS

Pablo Garaizar & Mariluz GuenagaDeustoTech LearningUniversity of Deusto

TEEM'2014, Salamanca, Spain

Page 2: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

Mobile devices allow learners to...

Page 3: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

learn outside the school, virtually everywhere (mLearning)

Page 4: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

communicate and share learning experiences (PLEs)

Page 5: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

explore and enhance the real world (AR, sensors)

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provide insights about their learning processes effortlessly (LA)

Page 7: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

mLearning + Learning Analytics =researchers dream!

Page 8: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks
Page 9: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

Geolocation & OrientationIs the learner at school/home? Is she commuting? Where does the learning process take place?

Is the context suitable for learning?

Page 10: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

Microphone & CameraIs the learner in a noisy context? Is she looking at the mobile device?

Page 11: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

Battery & Network InformationDoes the lack of battery / cost of the network access disrupt the learning scenario? How?

Page 12: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

Local StorageWhat did the learner do when she was offline? Did it affect learning processes?

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Drafts: ambient light, temperature, humidity, atmospheric pressure, etc.Insights about the context of learning processes

Page 14: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

mLearning + Learning Analytics =

users nightmare!

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LA privacy issues are not only about user-id anonymizationThe relation between id's and users could be reconstructed via EDM

Page 16: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

Students are not mere sources of dataWho takes advantage from your LA study? If the answer is not your students, you are using them.

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Goal: mutual trustCustomizing content, preventing failure, enhancing learning

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mLearning + Learning Analytics =a difficult balance

Page 19: A Multimodal Learning Analytics view of HTML5 APIs: technical benefits and privacy risks

Informed consentVoluntary and anonymous participation. Your data will be analyzed as a whole.

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Fine-grained data-collection via HTML5Unique id's, event handlers, remote storage via AJAX

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Thank you

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References● P. Blikstein, 2013, April. “Multimodal learning analytics”. In Proceedings of the Third International Conference on Learning Analytics and Knowledge (pp.

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References● I. Hickson. 2013. “Web Storage”. W3C Recommendation 30 July 2013. Retrieved from: http://www.w3.org/TR/webstorage/

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● M. Cáceres and N. V. Balaji. 2014. “Ambient Humidity Events”. Unofficial Draft 07 July 2014. Retrieved from: https://dvcs.w3.org/hg/dap/raw-file/default/humidity/Overview.html

● D Tran. 2014. “Atmospheric Pressure Events”. Unofficial Draft 07 July 2014. Retrieved from: https://dvcs.w3.org/hg/dap/raw-file/default/pressure/Overview.html

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References● S. Pfeiffer, P. Jägenstedt and I. Hickson. 2014. “WebVTT: The Web Video Text Tracks Format”. Draft Community Group Report 18 June 2014. Retrieved from:

http://dev.w3.org/html5/webvtt/

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● P. Schmitz and A. Cohen. 2001. “SMIL Animation”, W3C Recommendation 04-September-2001. Retrieved from http://www.w3.org/TR/2001/REC-smil-animation-20010904/

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● G. Shires and H. Wennborg. 2012. “Web Speech API Specification”. 19 October 2012. Retrieved from: https://dvcs.w3.org/hg/speech-api/raw-file/tip/speechapi.html

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References● J. Mann. 2012. “High Resolution Time”. W3C Recommendation 17 December 2012. Retrieved from: http://www.w3.org/TR/hr-time/

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