Technology for Active and Personalised Engineering Education

RachelW

ente-Chaney

Flickr

Technology for Active andPersonalised Engineering Education

UTS - Faculty of Engineering and IT Seminar28 April 2015

Dr Abelardo Pardo (@abelardopardo)The University of Sydney

slideshare.net/abelardo_pardo

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TristanM

artinflickr.com

Context EngineeringEducation

EducationalTechnology

LearningAnalytics

Examples

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TristanM

artinflickr.com

Context

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BSc, MSc Computer Science

PhD Computer Science

Research andAdjunct (Tufts Univ.)

A/Prof EducationalTechnology

Senior Lecturer

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State

Records

NS

WFlickr

Senior Lecturer at School of EIEThe University of Sydney

Two coursesGrad/Undergrad

Active learning

Use of technology

Tech to improve education(My Research Area!)

Behavioral/Learninganalytics

User validation

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dianetellFlickrPragmaticapproach

Dogfooding!

In the wild

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TristanM

artinflickr.com

Context EngineeringEducation

Dr. Kamyar Haghighi

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Dr. Kamyar Haghighi /2

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K. Haghighi (2005), Quiet No Longer: Birth of a New Discipline, Journal of Engineering Education, 94(4), 351-353

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engineering.purdue.edu/EN

E

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web.stanford.edu/group/design_education/cgi-bin/m

ediawiki/index.php/M

ain_Page

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ww

w.engineeringchallenges.org

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ww

w.engineeringchallenges.org

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ww

w.asee.org

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TristanM

artinflickr.com

Context EngineeringEducation

EducationalTechnology

Early work• Parametric exercises• Intelligent tutoring systems• Swarm Intelligence for sequencing

resources• Rule based adaptation of problem

sequences• Automatic Peer Review Management

Platform• Automatic Grading

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IMS Learning Design

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De la Fuente Valentín L., Pardo A., Delgado Kloos, C (2011). Generic Service Integration in Adaptive Learning Experiences using IMS Learning Design, Computer and Education, 57(2011)

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JansonH

ews

flickr.com

Scholarly Discipline

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TristanM

artinflickr.com

Context EngineeringEducation

EducationalTechnology

LearningAnalytics

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VanessaOflickr.com

“Historically, humanity has made sense of the worldthrough discourse, dialogue, artifacts, myth, story,and metaphor. While those sensemaking approacheswon’t disappear, they will be augmented by data andanalytics.”

Siemens, 2014 www.elearnspace.org/blog

Learning Analytics

Measurement, collection, analysisand reporting of data about learnersand their contexts, for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs.

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(SoLAR, Society for LearningAnalytics Research)

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Unhindered

byTalentflickr.com

Many colleges and universities have demonstratedthat analytics can help significantly advance aninstitution in such strategic areas as resourceallocation, student success, and finance

Bichsel, J. (2012). Analytics in Higher Education Benefits, Barriers, Progress, and Recommendations. EDUCAUSE Center for Applied Research

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apasciutoflickr.com

Tools, technology,algorithms

Educational design,pedagogical strategies

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Anthony

flickr.com

Tech affordancesmust have strong,realisticpedagogicalfoundations

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TristanM

artinflickr.com

Context EngineeringEducation

EducationalTechnology

LearningAnalytics

Examples

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Flickrmorflickr.com

Activities occur outside the LMS

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ChefC

ookeFlickr.comObserve while

working oncourse

activities

A clearly identifiedenvironment within

your computer

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Kevin

Davies

flickr.com

Pardo A., Delgado Kloos C. (2011) Stepping out of the box. Towards analytics outside the LMS, International Conference on Learning Analytics and Knowledge, pp, 163-167, ACM New York, USA

Instrumentation

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Romero Zaldívar, V. A., Pardo, A., Burgos, D., & Delgado Kloos, C. (2012). Monitoring Student Progress Using Virtual Appliances: A Case Study. Computers & Education, 58(4), 1058–1067.

Learning glass

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Leony, D., Pardo A., De la Fuente Valentín, L., Sánchez de Castro, D., Delgado Kloos, C. 2012. GLASS : A Learning Analytics Visualization Tool. LAK’2012, pp. 162-163, ACM Press.

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Pardo, Abelardo, Negin Mirriahi, Shane Dawson, et al. 2015. Identifying Learning Strategies Associated with Active Use of Video Annotation Software. In LAK’15 pp. 255–259. ACM Press.

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Benjam

inE

shamflickr.com

First YearEngineering Course

Computer Systems

Enrollment: 300students

1 Lecture (2 hours) +1 tutorial (2 hours) +1 lab (3 hours)

Flipped Learning

Assess Participation

100% Digital Material

Midterm + Final +Project

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bit.ly/elec1601

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bit.ly/elec1601

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bit.ly/elec1601

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Track

Track

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Track

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Track

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bit.ly/elec1601

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ResultsBetter open question scores

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Effect Size (Cohen’s d) = 0.27

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Agile Authoring!

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Minimum markup. Sensors automatically generated.

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Solutions, tutor guide, in a single document

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billBradford

flickr.com

Plain Text Template-based design

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bitbucket.org/abelardopardo/reauthoring

Multidisciplinary WorkCombine data and qualitative insight

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Pardo, A., Ellis, R. A., & Calvo, R. A. (2015). Combining Observational and Experiential Data to Inform the Redesign of Learning Activities. In LAK’15 (pp. 305–309). ACM Press.

RachelW

ente-Chaney

Flickr

Technology for Active andPersonalised Engineering Education

UTS - Faculty of Engineering and IT Seminar28 April 2015

Dr Abelardo Pardo (@abelardopardo)The University of Sydney

slideshare.net/abelardo_pardo