the use of data and analytics to guide the improvement of learning experiences
DESCRIPTION
Invited talk given at the International Forum on Big Data Analysis for Learning Improvement. It explains what is Learning Analytics, which aspects should be targeted by this emerging area, the algorithms and possible interventions that are derived, and finally the view from the point of view of two key stakeholders: instructors and students.TRANSCRIPT
NeilS
pencerBruce
Flickr
The use of data and analytics toguide the improvement of learningexperiences
International Forum on Big Data Analysisfor Learning Improvement
Dr Abelardo Pardo (@abelardopardo)The University of Sydney
slideshare.net/abelardo_pardo
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 2
Cygnus921
flickr.com
LALandscape
What toimprove?
Collection,Algorithms,Interventions
Stakeholders’Views
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 3
Cygnus921
flickr.com
LALandscape
Learning Analytics
Measurement, collection, analysisand reporting of data about learnersand their contexts, for purposes ofunderstanding and optimizinglearning and the environments in whichit occurs.
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 4
(SoLAR, Society for LearningAnalytics Research)
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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)
Discipline emerged in recent years
with large potential for impact.
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www.solaresearch.orgAbelardo Pardo The use of data and analytics to guide the improvement of learning experiences 7
Intl. Conference onLearning Analytics and Knowledge
lak15.solaresearch.orgAbelardo Pardo The use of data and analytics to guide the improvement of learning experiences 8
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 9
LJubarflickr.com
Fork in the road:uptake?
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Derable
flickr.com
High impact area: evolution, revolution, tangibleimprovements.
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 11
Yoakimflickr.comFail at large scale and
become marginal
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diffusorflickr.com
How big is “big data”?
Few terabytes (today)
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jseliger1flickr.com
Abundant personaldata
Millions of records
Personalization+Interventions
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 14
Gee311
flickr.com
InstitutionalLevel
LearningExperience
LearningActivity
Macrolevel: Data manipulated at the institutionallevel
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 15
JISC
InfoNetflickr
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 16
TulaneP
ublicR
elationsflickr.com
Microlevel: detailedobservation of single context
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 17
LearningExperience:multiple tools,variety of activities,address severallearning outcomes.
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 18
Cygnus921
flickr.com
LALandscape
What toimprove?
“We need betterevaluation toacknowledge andesteem excellencewhen it occurs, as itdoes.”
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 19
Bencrow
eFlickr
(Hattie, 2009)
Where should I focus?
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 20
visible-learning.org/hattie-ranking-influences-effect-sizes-learning-achievement/hattie-ranking-teaching-effects
(LastAccessed
Oct.
2013)
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JansonH
ews
flickr.com
New
Assessments?
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 22
Ashley
Fisherflickr.com
21st century skills
Critical thinkingTeam work skillsCommunication skillsInformation literacyCreativity and Innovation
Discourse Analysis
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(De Liddo et al., 2011)
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 24
PaulM
ayneflickr.com
Learning Dispositions:Tendency to behave incertain way when learning.
(Buckingham Sum, Deaking Crick, 2012)
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 25
Cygnus921
flickr.com
LALandscape
What toimprove?
Collection,Algorithms,Interventions
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 26
(Macfadyen & Dawson, 2010)
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 27
(Romero, Ventura & García, 2008)
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ChefC
ookeFlickr.comObserve while
working oncourse
activities
A clearly identifiedenvironment within
your computer
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 29
Kevin
Davies
flickr.com
(Pardo & Delgado Kloos, 2011)
InstrumentationPersonal Computer
ComputerTool 1
ComputerTool 2
ComputerTool 3
ComputerTool 4
Authenticated
Virtual Computer
ComputerTool
ComputerTool
ComputerTool
ComputerTool
ComputerTool
EventDataset
PersonalData
Encoding
Report
Infer
Act
InstructorStudent
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Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 31
Horia
Varlanflickr.com
Tool usage vs academic performance
(Romero-Zaldívar et al., 2012)
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deepwarren
Flickr
Closer to the student
From “app” to “companion”
Finished focus group. Potential for studentuptake.
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Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 34
puthoOrP
hotographyflickr.com
LMS interactions, quizzes, response times, sessions,hints requested, questionnaires, interviews, requests,demographics, high school grades, etc.
(Bienkowski, M., Feng, M., & Means, B., 2012)
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Naezm
iflickr.com
Learning Record Stores. Tin Can API
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 36
Mr.
Velocipedeflickr.com
Statisticalanalysis(small)
Predictivealgorithms
ClusteringAlgorithms
RelationshipMining
Data Distillation DiscoverywithModels
(Baker and Yacef, 2009)
Design Principles for Interventions
• Integrated with the activity. Connected withconcepts and assessment.
• Interventions must support learning, notbecome an additional burden.
• Provide measures that are considereddesirable and why.
• Discuss the process with the students.
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(Wise, 2014)
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Brian
Talbotflickr.com
Personalization
How to connect events, user data with actions?
Example: Rule based models
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 39
DanielO
lnesflickr.com
IF CONDITION THEN ACTION
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 40
DanielO
lnesflickr.com
IF video not watched and Thursday THEN reminder
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 41
Cygnus921
flickr.com
LALandscape
What toimprove?
Collection,Algorithms,Interventions
Stakeholders’Views
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 42
Allan
Lordeflickr.com
Analytics bydesign. Increasein complexity
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 43
jbgeronimiflickr.com
Instructor manipulates multiple data sources
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 44
Space
&LightFlickr
• Data far away from instructor• Needs curation process
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MichaelD
unnflickr.com
Analytics as Self-reflection Tool
The Student Point of View
• Transparency in the assessment
• Detailed account of strategies
• Goal setting
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lrargerichFlickr
Abelardo Pardo The use of data and analytics to guide the improvement of learning experiences 47
RobertH
uffstutterflickr.com
• Learning Analytics: discipline with potential.
• From extremely beneficial to irrelevant.
• Objective: personalization and Interventions.
• Use data for the “meso”-level (Course).
• Comprehensive observation offers insight intostrategies.
• Data in multiple sources, formats, and far away.
• Design and deployment more complex.
• Explore use by students.
NeilS
pencerBruce
Flickr
The use of data and analytics toguide the improvement of learningexperiences
International Forum on Big Data Analysisfor Learning Improvement
Dr Abelardo Pardo (@abelardopardo)The University of Sydney
slideshare.net/abelardo_pardo
ReferencesSiemens, G. (2013).Learning Analytics: The Emergence of a Discipline.American Behavioral Scientist, 57(10), 1380–1400.
John HattieVisible Learning: A Synthesis of Over 800 Meta-Analyses Relating to AchievementTaylor & Francis, 2009
Macfadyen, L. P., & Dawson, S. (2010).Mining LMS data to develop an “early warning system” for educators: A proof of concept.Computers & Education, 54(2), 588–599
Romero, C., Ventura, S., & Garcia, E. (2008).Data mining in course management systems: Moodle case study and tutorial.Computers & Education, 51(1), 368–384.
Pardo, A., Delgado Kloos, C., 2011,Stepping out of the box. Towards analytics outside the Learning Management SystemInternational Conference on Learning Analytics and Knowledge, pp, 163-167, ACM New York, USA
Romero-Zaldívar, V.A., Pardo, A., Burgos, D., Delgado Kloos, C., 2012Monitoring Student Progress Using Virtual Appliances: A Case StudyComputer & Education, 58(4):10580–1067, 2012
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References 2Liddo, A. De, Shum, S., Quinto, I., 2011Discourse-centric learning analytics.In Proceedings of the International Conference on Learning Analytics and Knowledge.
Shum, S. B., and Crick, R. D., 2012.Learning Dispositions and Transferable Competencies: Pedagogy, Modelling and Learning Analytics.In S. Buckingham Shum, D. Gaševic, and R. Ferguson (Eds.), International Conference on LearningAnalytics and Knowledge (pp. 92–101). ACM Press.
Bienkowski, M., Feng, M., & Means, B., 2012.Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics. USDepartment of Education.
Baker, R. S. J. D., and Yacef, K., 2009.The state of educational data mining in 2009: A review and future visions.Journal of Educational Data Mining, 1(1), 3–17.
Wise, A., 2014Designing Pedagogical Interventions to Support Student Use of Learning Analytics.In A. Pardo & S. D. Teasley (Eds.), Proceedings of the International Conference on Learning Analytics andKnowledge. ACM Press.
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