Articulating the connection between Learning Design and Learning Analytics

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Abelardo Pardo (@abelardopardo) Faculty of Engineering and IT slideshare.net/abelardo_pardo Articulating the connection between Learning Analytics and Learning Design Faculty of Education University of Hong Kong 16/May/2017 Mariano Mantel flickr.com

Transcript of Articulating the connection between Learning Design and Learning Analytics

Page 1: Articulating the connection between Learning Design and Learning Analytics

Abelardo Pardo (@abelardopardo)Faculty of Engineering and IT slideshare.net/abelardo_pardo

Articulating the connection between Learning Analytics and Learning

Design

Faculty of Education University of Hong Kong

16/May/2017

Mariano M

antel flickr.com

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Ivan flickr.com

Learning Analytics

Data Journey

Connection Model

How to integrate

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Ivan flickr.com

LearningAnalytics

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Dm

itry Grigoriev flickr.com

Learning Analytics: measure, collect, analyse data about learners to understand and improve their learning and the environment in which it occurs

1st International Conference on Learning Analytics and Knowledge [Online]. https://tekri.athabascau.ca/analytics. [Accessed 2017].

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Eustaquio Santimano flickr.com

Collect

Report

Analyse

Act

Refine

Campbell, J. P., DeBlois, P. B., & Oblinger, D. G. (2007). Academic Analytics. Louisville, CO: Educause White Paper.

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Long, P., & Siemens, G. (2011). Penetrating the Fog: Analytics in Learning and Education. EDUCAUSE Review, 48(5), 31-40.

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Learning Analytics Model (v1)

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Ivan flickr.com

Learning Analytics

DataJourney

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trepelu flickr.com

Let’s explore clickstreams!

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4.174.239.145 - [email protected] "user 2" [27/Jan/2016:00:00:26 +0000] "GET resource_6 HTTP/1.1" 302 1428 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:39.0) Gecko/20100101 Firefox/39.0"

Clickstreams

Machine address

User id

User name

When date/time

4.174.239.145 - [email protected] "user 2" [27/Jan/2016:00:00:26 +0000] "GET resource_6 HTTP/1.1" 302 1428 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.10; rv:39.0) Gecko/20100101 Firefox/39.0"

Which resource One line written in a file for every click!

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Clickstream - Video

4187,2016-07-14 00:56:46.341946+00,{“time”":0,"id":"xEJtdMQMcrs","event":"PLAY"},https://mycourse.com/Material/HLP/HLP_notes.html,embedded-video

User id When

date/time

Video playedfrom start

PageEventtype

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Clickstream - Question

7141,2016-07-25 00:41:42.282416+00,{“question_id":"COD-baseencoding-eqt_1","answer":0},https://mycourse.com/Material/COD/Activities/encoding_videoeqt.html,embedded-question

User id When

date/timeQuestionansweredincorrectly

PageEventtype

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Large number of events per user2016-08-09 00:05:43.124199+00,989,129.78.56.144,"{""outcome"": ""incorrect"", ""assessment"": ""summative"", ""score"": 44.4444444444444, ""exercise"": ""/data2u/static/exco_exc/DRM/problem_13_c.html"", ""sequence"": ""DRM-exco-C""}",abelardopardo,196619,exco-answer2016-08-09 00:05:44.140307+00,989,129.78.56.144,"{""score"": 44.4444444444444, ""exercise"": ""/data2u/static/exco_exc/DRM/problem_03_c.html"", ""sequence"": ""DRM-exco-C""}",abelardopardo,196620,exco-view2016-08-09 00:05:47.76122+00,968,49.182.128.186,"{""question_id"":""COD-numberofwires-eqt_1"",""answer"":1}",abelardopardo,196621,embedded-question2016-08-09 00:05:48.861036+00,806,129.78.56.151,"{""question_id"":""COD-encodeintegers-section-eqt_4"",""answer"":0}",abelardopardo,196622,embedded-question2016-08-09 00:05:48.959791+00,989,129.78.56.144,"{""outcome"": ""correct"", ""assessment"": ""summative"", ""score"": 50.0, ""exercise"": ""/data2u/static/exco_exc/DRM/problem_03_c.html"", ""sequence"": ""DRM-exco-C""}",abelardopardo,196623,exco-answer2016-08-09 00:05:49.539162+00,989,129.78.56.144,"{""score"": 50.0, ""exercise"": ""/data2u/static/exco_exc/DRM/problem_14_c.html"", ""sequence"": ""DRM-exco-C""}",abelardopardo,196624,exco-view2016-08-09 00:05:49.571138+00,1311,129.78.56.159,"{""url"":""https://flip.ee.usyd.edu.au/elec1601/Material/COD/index.html""}",abelardopardo,196625,resource-view2016-08-09 00:05:50.050035+00,1069,129.78.56.199,"{""question_id"":""COD-integerencoding-videoeqt-eqt_3"",""answer"":0}",abelardopardo,196626,embedded-question2016-08-09 00:05:51.709295+00,806,129.78.56.151,"{""question_id"":""COD-encodeintegers-section-eqt_4"",""answer"":0}",abelardopardo,196627,embedded-question2016-08-09 00:05:51.962474+00,1069,129.78.56.199,"{""question_id"":""COD-integerencoding-videoeqt-eqt_3"",""answer"":0}",abelardopardo,196628,embedded-question2016-08-09 00:05:52.0819+00,806,129.78.56.151,"{""question_id"":""COD-encodeintegers-section-eqt_4"",""answer"":""-1""}",abelardopardo,196629,embedded-question2016-08-09 00:05:53.025356+00,1069,129.78.56.199,"{""question_id"":""COD-integerencoding-videoeqt-eqt_3"",""answer"":1}",abelardopardo,196630,embedded-question2016-08-09 00:05:54.756229+00,1311,129.78.56.159,"{""url"":""https://flip.ee.usyd.edu.au/elec1601/Material/COD/COD_notes.html#range-accuracy-and-precision-of-the-floating-point-representation""}",abelardopardo,196631,resource-view2016-08-09 00:05:54.856333+00,989,129.78.56.144,"{""outcome"": ""incorrect"", ""assessment"": ""summative"", ""score"": 50.0, ""exercise"": “"/data2u/static/exco_exc/DRM/problem_03_c.html"", ""sequence"": ""DRM-exco-C""}",abelardopardo,196623,exco-answer

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Logs without design context• How many videos were played?

• How many questions answered correctly/incorrectly?

• How many pages were viewed?

• How many posts in the forum?

• Are posts and video plays together?*

• What type of resources are being used?*

• Correlation? Linear model? Student at risk?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. doi:10.1016/j.compedu.2009.09.008

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4187,2016-07-14 00:56:46.341946+00,{“time”":0,"id":"xEJtdMQMcrs","event":"PLAY"},https://mycourse.com/Material/HLP/HLP_notes.html,embedded-video

4187, 2016-07-14 00:56:46.341946+00, VIDEO, xEJtdMQMcrs, PLAY, COD, W2

Combine logs with design

Student played a video about topic COD during Week 2

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Logs with design context

• Is a student preparing the lecture?

• Are study sessions related to schedule?

• Reviewing or catching up?

• Is there distributed practice?

• Are there changes in strategies?

Chris Lew

is flickr.com

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Detect use of resources in sessions

Kahn, I., & Pardo, A. (2016). Data2U: Scalable Real time Student Feedback in Active Learning Environments. Paper presented at the International Conference on Learning Analytics and Knowledge, Edinburgh, UK. doi:10.1145/2883851.2883911

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Jovanovic, J., Gašević, D., Pardo, A., Dawson, S., & Mirriahi, N. (In Press. Accepted 20/Feb/2017). Learning Analytics to Unveil Learning Strategies in a Flipped Classroom. Internet and Higher Education. doi:10.1016/j.iheduc.2017.02.001

Analyse Learning Strategies

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Decision Trees• Week 10

• Predicted score at leaves (out of 40)

• Conditions at nodes

• If (EXC.in >=22) and (VID.PL < 8.5) then score = 6

Pardo, A., Mirriahi, N., Martínez-Maldonado, R., Jovanović, J., Dawson, S., & Gasevic, D. (2016). Generating Actionable Predictive Models of Academic Performance. Paper presented at the International Conference on Learning Analytics and Knowledge, Edinburgh, UK. doi:10.1145/2883851.2883870

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Ivan flickr.com

Learning Analytics

Data Journey

ConnectionModel

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Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, 57(10), 1439-1459. doi:10.1177/0002764213479367

Identifying and coding learning and teaching contexts

is essential!

Checkpoints Process Analytics

Judith Klein flickr.com

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Bakharia, A., Corrin, L., de Barba, P., Kennedy, G., Gašević, D., Mulder, R., . . . Lockyer, L. (2016). A Conceptual Framework linking Learning Design with Learning Analytics. Paper presented at the International Conference on Learning Analytics and Knowledge, Edinburgh, UK. doi:10.1145/2883851.2883944

The 3Bs flickr.com

ComparativeAnalytics

CohortDynamics

ToolSpecific

Interventiontools

TemporalAnalytics

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Robert Brook flickr.com

Use actions to promote an objective to drive the connection between

design elements and analytics affordances

Student Engagement

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Bartimote-Aufflick, K., Reimann P., Pardo, A. The perspective theory brings to learning analytics in the classroom: A realist approach Manuscript in preparation.

Learning Analytics Model v2

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Questions guiding the design• What can/will be observed when the design is

instantiated?

• How can the data be interpreted in the design context?

• What actions can be derived from the analysis?

• During the enactment Instructors Students

• After the enactment (design refinement)

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4 layer connection

1. Click (low) level events

2. Process to engage with a set of tasks

3. Use effective learning strategies

4. Overall effectiveness of the design

Michael C

oughlan flickr.com

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Click/Low level

Learning process with set of tasks

Used learning

strategies

Overall effectiveness

What can be observed?

How to interpret data

Immediate actions

Students

Instructor

Future actions

LA lense for LD

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Example• Blended course • Large student cohort • Face-to-face sessions require preparation • Activities include: video, questions, readings,

exercises (summative) • Pattern repeated weekly • Interaction through discussion forum • Three submissions throughout course • Midterm examination

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2 Hours

2 Hours

3 Hours

Pardo, A. & Mirriahi N. (in press). Design, Deployment and Evaluation of a Flipped Learning First Year Engineering Course. In C. Reidsema, L. Kavanagh, R. Hadgraft & N. Smith (Eds.), Flipping the Classroom: Practice and Practices. Singapore: Springer.

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Click/Low level

Learning process with set of tasks

Used learning

strategies

Overall effectiveness

What can be observed?

Events in videos, questions, exercises

How to interpret dataIf video viewed and questions correct,

incorrect

Immediate actions

StudentsSuggestions to engage with resources

InstructorProvide further

information about topics with high

failure rate

Future actions

Learning process

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Click/Low level

Learning process with set of tasks

Used learning

strategies

Overall effectiveness

What can be observed?

Topics in each study session

How to interpret dataObtain distribution,

depth and effectiveness of

session.

Immediate actions

Students Suggest plan

Instructor Flag most popular strategies

Future actionsWhere to include

additional strategic support

Learning strategies

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Ivan flickr.com

Learning Analytics

Data Journey

Connection Model

How tointegrate

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Increasingly complex design spaceThom

as Leth-Olsen flickr.com

Cognitive

Social

Material(Tangible)

Material(Intangible)

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“… teaching in higher education will necessarily shift the balance of its efforts towards a greater investment in design as a way of coping with otherwise intolerable

pressures on staff and resources.”

Goodyear, P. (2015). Teaching as Design. HERDSA Review of Higher Education, 2, 27-50.

Tobias Toft flickr.com

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Design Patterns

35

Anne flickr.com

general repeatable solution to a commonly occurring problem

• Creational • Structural • Behavioural

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Assume/Promote recording

36

Nick Lee flickr.com

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Use focal points for LA

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Eric Wustenhagen flickr.com

• Actions • Expected reactions • Rubrics

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ontasklearning.org

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• Support instructors to create personalised feedback

• Simple rule-base knowledge encoding

• Provide appropriate view of data sources

• Scale to large and highly diverse cohorts

• Will be released as open-source project Q3/4 2017

• First pilots in Q1/2 2017

• Tutorial in LAK 2017

• Contact us if interested

ontasklearning.org

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NASA Johnson flickr.com

• LA needs LD • Design may drive log analysis

to meaningful questions • LA cues can be included in

LD • Use of patterns and focal

points

Conclusions

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Abelardo Pardo (@abelardopardo)Faculty of Engineering and IT slideshare.net/abelardo_pardo

Articulating the connection between Learning Analytics and Learning

Design

Faculty of Education University of Hong Kong

16/May/2017

Mariano M

antel flickr.com