Leveraging Data on Engagement and Effectiveness of Course Design

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Educational institutions have access to detail data about how students perform in learning experiences. How can the data be used to increase engagement and the quality of a course? The presentation gives some ideas on how to make this connection.

Bildung

JessKKent1Flickr
Leveraging Data on Engagement and
Effectiveness of Course Design
Blended Learning
27 Oct 2015
Dr Abelardo Pardo (@abelardopardo)
The University of Sydney
slideshare.net/abelardo_pardo

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 2
JanneMorenﬂickr.com
Today’s
Landscape
Learning
Analytics
Engagement
and Design

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 3
JanneMorenﬂickr.com
Today’s
Landscape

Active Learning Works
Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 4

Massive Cohorts
OLT: Topic 2: Strategic Priority Commissioned
Projects
Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 5

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 6
http://er.educause.edu/articles/2013/1/moocs-get-in-the-game

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 7

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 8

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 9
UniversityofDenverﬂickr.com
Know your
students

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 10
JanneMorenﬂickr.com
Today’s
Landscape
Learning
Analytics

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 Leveraging Data on Engagement and Effectiveness of Course Design 11
(SoLAR, Society for Learning
Analytics Research)

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 12
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

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 13
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

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 14
www.itap.purdue.edu/studio/signals(LastaccessedOct.2015)

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 15
www.blackboard.com/education-data-analytics/index.aspx(LastaccessedOct.2015)

Track and Connect
Detect students at risk
Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 16

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 17
Siemens, G., Dawson, S., & Lynch, G. (2013). Improving the Quality and Productivity of the Higher Education Sector. Policy and
Strategy for Systems-Level Deployment of Learning Analytics (pp. 1–35). Society for Learning Analytics Research for the Australian
Ofﬁce for Learning and Teaching.

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 18
http://www.learninganalytics.net/?p=131(lastvisitedOct.2015)
Siemens, G., & Long, P. (2011). Penetrating the Fog: Analytics in Learning and Education. Educause Review, 48(5)

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 19
JanneMorenﬂickr.com
Today’s
Landscape
Learning
Analytics
Engagement
and Design

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 20
Anthonyﬂickr.com
Tech affordances
must have strong,
realistic
pedagogical
foundations

Engagement & Design
Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 21
Joao Carlos Medau ﬂickr.com
Active
Learning
Blended
Learning
Feedback
Loop
Design
Reﬁnement
Data Supported

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 22
1) Active
Learning

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 23
2) Blended
Learning

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 24
2) Blended
Learning

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 25
2) Blended
Learning

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 26
2) Blended
Learning

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 27
2) Blended Learning

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 28
3) Feedback
Loop

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 29
3) Feedback Loop

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 30
3) Feedback
Loop

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 31
4) Design
reﬁnement

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 32
4) Design
reﬁnement

Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 33
GerardStolkﬂickr.com
Education landscape is
changing!
Data to support decision
making
Blended/Active Learning Data for Feedback and
Reﬁnement

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As education keeps advancing into the era of ubiquitous data availability there are certain challenges that are also increasing. The connection between data and direct improvements or benefit for students in terms of the overall quality of the learning experience is still an area under significant evolution. Learning analytics promises the use of data to improve learning experiences, but bridging the distance between widespread data availability and meaningful, effective and relevant actions informed by this data is still important. The current focus when considering the use of data tends to gravitate towards institutional interventions that target only a subset of the students (e.g. those at risk of dropping a course or abandoning the institution). But the student experience is much more complex and varied. In this talk we will describe OnTask, a platform and approach to facilitate the connection between data and actions in the context of a learning experience. The framework used by the tool contains a generic architecture to simplify the combination of multiple data sources under a single data structure with an intuitive design of rule-based personalized support actions that can be scaled to large student cohorts. OnTask approaches the problem from the benefits of feedback processes that rely on a conversation between students and instructors at the level of a course.

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Blended learning environments can be used to deploy strategies to increase student engagement in learning experiences. However, for these strategies to be effective, this increase in engagement requires an increase in student support which can pose serious challenges for large cohorts. The increase in technology mediation offers unprecedented opportunities to collect information about how students interact in a learning environment. Can this data be used to provide student support at scale? Is it feasible to blend data management techniques as part of a learning design to provide personalised suggestions to students? This talk will offer various practical examples of personalised student support actions in the context of a large flipped classroom.

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The increasing presence of technology mediation offers an unprecedented opportunity to use detailed data sets about the interactions that occur while a learning experience is being enacted. Areas such as Learning Analytics or Educational Data Mining have explored numerous algorithms and techniques to process these data sets. Additionally, technology now offers the opportunity to increase the immediacy of interventions. However, not much emphasis has been placed on how to extract truly actionable knowledge and how to bring it effectively as part of a learning experience. In this talk, we will use the concept of feedback as the focus to establish a specific connection between the knowledge derived from data-analysis procedures and the actions that can be immediately deployed in a learning environment. We will discuss how there is a trade-off between low-level automatic feedback and high-level complex feedback and how technology can provide efficient solutions for the case of large or highly diverse cohorts.

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Learning analytics is a discipline that uses data captured by technology during a learning experience to increase our level of understanding, increase its quality, and improve the environment in which it occurs. But these experiences need to be designed first. In this talk we start from the statement that there is no such thing as a neutral design. In the era of increasing technology mediation Learning experiences need to be designed considering the capacity to capture data, the possibility of making sense and derive knowledge from the data, and the need to act on that knowledge. In this talk we will explore some initiatives to make these connections explicit in a learning design. Using a flipped learning experience, we will explore how to embed data and data analysis as part of the design tasks.

Articulating the connection between Learning Design and Learning Analytics

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Increasing Student Engagement with Personalised Feedback

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Technology mediation allows to capture comprehensive data sets about interactions occurring in learning experiences. Although these data sets have the potential of increasing the insight on how learning occurs, their use strongly depends on two aspects: the data has to be properly situated in the learning design, and the insights derived need to be translated into actions. In this talk we will explore how to establish this connection for the case of the provision of feedback. We will approach the problem from the point of view of intelligence amplification, that is, how data can support instructors to provide better support to learners through feedback. The talk will discuss some preliminary results from the Ontasklearning.org project.

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Designing Effective Flipped Learning Experiences

The role of data in the provision of feedback at scale

Exploring hands-on multidisciplinary STEM with Arduino Esplora

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Generating Actionable Predictive Models of Academic Performance

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Scaling the provision of feedback from formative assessment

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Leveraging Data on Engagement and Effectiveness of Course Design

1. JessKKent1Flickr Leveraging Data on Engagement and Effectiveness of Course Design Blended Learning 27 Oct 2015 Dr Abelardo Pardo (@abelardopardo) The University of Sydney slideshare.net/abelardo_pardo

2. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 2 JanneMorenﬂickr.com Today’s Landscape Learning Analytics Engagement and Design

3. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 3 JanneMorenﬂickr.com Today’s Landscape

4. Active Learning Works Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 4

5. Massive Cohorts OLT: Topic 2: Strategic Priority Commissioned Projects Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 5

6. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 6 http://er.educause.edu/articles/2013/1/moocs-get-in-the-game

7. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 7

8. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 8

9. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 9 UniversityofDenverﬂickr.com Know your students

10. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 10 JanneMorenﬂickr.com Today’s Landscape Learning Analytics

11. 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 Leveraging Data on Engagement and Effectiveness of Course Design 11 (SoLAR, Society for Learning Analytics Research)

12. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 12 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

13. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 13 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

14. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 14 www.itap.purdue.edu/studio/signals(LastaccessedOct.2015)

15. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 15 www.blackboard.com/education-data-analytics/index.aspx(LastaccessedOct.2015)

16. Track and Connect Detect students at risk Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 16

17. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 17 Siemens, G., Dawson, S., & Lynch, G. (2013). Improving the Quality and Productivity of the Higher Education Sector. Policy and Strategy for Systems-Level Deployment of Learning Analytics (pp. 1–35). Society for Learning Analytics Research for the Australian Ofﬁce for Learning and Teaching.

18. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 18 http://www.learninganalytics.net/?p=131(lastvisitedOct.2015) Siemens, G., & Long, P. (2011). Penetrating the Fog: Analytics in Learning and Education. Educause Review, 48(5)

19. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 19 JanneMorenﬂickr.com Today’s Landscape Learning Analytics Engagement and Design

20. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 20 Anthonyﬂickr.com Tech affordances must have strong, realistic pedagogical foundations

21. Engagement & Design Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 21 Joao Carlos Medau ﬂickr.com Active Learning Blended Learning Feedback Loop Design Reﬁnement Data Supported

22. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 22 1) Active Learning

23. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 23 2) Blended Learning

24. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 24 2) Blended Learning

25. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 25 2) Blended Learning

26. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 26 2) Blended Learning

27. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 27 2) Blended Learning

28. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 28 3) Feedback Loop

29. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 29 3) Feedback Loop

30. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 30 3) Feedback Loop

31. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 31 4) Design reﬁnement

32. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 32 4) Design reﬁnement

33. Abelardo Pardo Leveraging Data on Engagement and Effectiveness of Course Design 33 GerardStolkﬂickr.com Education landscape is changing! Data to support decision making Blended/Active Learning Data for Feedback and Reﬁnement

34. JessKKent1Flickr Leveraging Data on Engagement and Effectiveness of Course Design Blended Learning 27 Oct 2015 Dr Abelardo Pardo (@abelardopardo) The University of Sydney slideshare.net/abelardo_pardo

Leveraging Data on Engagement and Effectiveness of Course Design

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