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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
Abelardo Pardo Technology for Active and Personalised Engineering Education 4
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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Abelardo Pardo Technology for Active and Personalised Engineering Education 17
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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Abelardo Pardo Technology for Active and Personalised Engineering Education 21
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
Abelardo Pardo Technology for Active and Personalised Engineering Education 38
bit.ly/elec1601
Abelardo Pardo Technology for Active and Personalised Engineering Education 39
Track
Track
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Abelardo Pardo Technology for Active and Personalised Engineering Education 41
Abelardo Pardo Technology for Active and Personalised Engineering Education 42
Track
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Abelardo Pardo Technology for Active and Personalised Engineering Education 44
Track
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Abelardo Pardo Technology for Active and Personalised Engineering Education 47
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
