What type of educational technology is better suited for engineering education? What are the possible improvements? In this talk I present how educational technology can be used to improve engineering education and provide some samples of my past and current research.

1. RachelWente-ChaneyFlickr
Technology for Active and
Personalised Engineering Education
UTS - Faculty of Engineering and IT Seminar
28 April 2015
Dr Abelardo Pardo (@abelardopardo)
The University of Sydney
slideshare.net/abelardo_pardo

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TristanMartinflickr.com
Context Engineering
Education
Educational
Technology
Learning
Analytics
Examples

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TristanMartinflickr.com
Context

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BSc, MSc Computer Science
PhD Computer Science
Research and
Adjunct (Tufts Univ.)
A/Prof Educational
Technology
Senior Lecturer

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StateRecordsNSWFlickr
Senior Lecturer at School of EIE
The University of Sydney
Two courses
Grad/Undergrad
Active learning
Use of technology
Tech to improve education
(My Research Area!)
Behavioral/Learning
analytics
User validation

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dianetellFlickr
Pragmatic
approach
Dogfooding!
In the wild

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TristanMartinflickr.com
Context Engineering
Education

8. Dr. Kamyar Haghighi
Abelardo Pardo Technology for Active and Personalised Engineering Education 8

9. 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/ENE

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web.stanford.edu/group/design_education/cgi-bin/mediawiki/index.php/Main_Page

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www.engineeringchallenges.org

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www.engineeringchallenges.org

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www.asee.org

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TristanMartinflickr.com
Context Engineering
Education
Educational
Technology

16. 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
Abelardo Pardo Technology for Active and Personalised Engineering Education 16

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18. 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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JansonHewsflickr.com

20. Scholarly Discipline
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TristanMartinflickr.com
Context Engineering
Education
Educational
Technology
Learning
Analytics

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VanessaOflickr.com
“Historically, humanity has made sense of the world
through discourse, dialogue, artifacts, myth, story,
and metaphor. While those sensemaking approaches
won’t disappear, they will be augmented by data and
analytics.”
Siemens, 2014 www.elearnspace.org/blog

23. Learning Analytics
Measurement, collection, analysis
and reporting of data about learners
and their contexts, for purposes of
understanding and optimizing
learning and the environments in which
it occurs.
Abelardo Pardo Technology for Active and Personalised Engineering Education 23
(SoLAR, Society for Learning
Analytics Research)

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UnhinderedbyTalentflickr.com
Many colleges and universities have demonstrated
that analytics can help significantly advance an
institution in such strategic areas as resource
allocation, 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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Anthonyflickr.com
Tech affordances
must have strong,
realistic
pedagogical
foundations

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TristanMartinflickr.com
Context Engineering
Education
Educational
Technology
Learning
Analytics
Examples

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Flickrmorflickr.com
Activities occur outside the LMS

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ChefCookeFlickr.com
Observe while
working on
course
activities

30. A clearly identified
environment within
your computer
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KevinDaviesflickr.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

31. Instrumentation
Abelardo Pardo Technology for Active and Personalised Engineering Education 31
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.

32. Learning glass
Abelardo Pardo Technology for Active and Personalised Engineering Education 32
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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BenjaminEshamflickr.com
First Year
Engineering Course
Computer Systems
Enrollment: 300
students
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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49. Results
Better 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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billBradfordflickr.com
Plain Text Template-based design

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bitbucket.org/abelardopardo/reauthoring

55. Multidisciplinary Work
Combine 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.

56. RachelWente-ChaneyFlickr
Technology for Active and
Personalised Engineering Education
UTS - Faculty of Engineering and IT Seminar
28 April 2015
Dr Abelardo Pardo (@abelardopardo)
The University of Sydney
slideshare.net/abelardo_pardo