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Abelardo Pardo (@abelardopardo) Faculty of Engineering and IT slideshare.net/abelardo_pardo The role of data in the provision of feedback at scale APRU ERT Forum 18 November 2016 Faruk Ateş flickr.com

The role of data in the provision of feedback at scale

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Page 1: The role of data in  the provision of feedback at scale

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

The role of data in the provision of feedback at scale

APRU ERT Forum 18 November 2016

Faruk Ateş flickr.com

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Abelardo Pardo The role of data in the provision of feedback at scale 2

It’s the learning!

Richard Katz presentation APRU ERT Forum Presentation 16 Nov 2016, Singapore

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Abelardo Pardo The role of data in the provision of feedback at scale 3

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Tim Pierce flickr.com

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Follow a scholarly approachJonathan C

ohen flickr.com

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Yvonne Larsson flickr.comPressure Quality/Cost

Student Feedback

Data-driven Support

Examples

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Yvonne Larsson flickr.comPressureQuality/Cost

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Space & Light flickr.com

Competition

Funding

Enrolment

Expectations

Digital Environments

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Tulane Public Relations flickr.com

Instructors know how to support students

but not in the current conditions

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Focus on "good instruction"D

aniel Kwok flickr.com

Kirschner, P. A., & Neelen, M. (2016). The cold left-overs of inquiry-based learning. Retrieved from https://3starlearningexperiences.wordpress.com/2016/11/15/the-cold-left-overs-of-inquiry-based-learning/

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increased engagement = increase in quality of experience

Matthias Ripp flickr.com

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Startup Mena flickr.com

Increase in feedback = increase in engagement

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Yvonne Larsson flickr.comPressure Quality/Cost

StudentFeedback

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Abelardo Pardo The role of data in the provision of feedback at scale

If you could choose one…• More than 500 meta-analyses

of student achievements

• 100 factors with potential influence

• Feedback in top five

• (74 meta-analyses) Most effective form: video, audio, computer-assisted instructional feedback, and/or related goals

14Hattie, J. A. (1999). Influences on student learning. Inaugural professorial address, University of Auckland, New Zealand

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Abelardo Pardo Using technology to provide feedback on learning strategies

The feedback question gets systematically lower values in student surveys

15

Krause, K.-L., Hartley, R., James, R., & McInnis, C. (2005). The First Year Experience in Australian Universities: Findings from a decade of National Studies. University of Melbourne: Centre for the Study of Higher Education.

Eleaf flickr.com

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Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81-112. doi:10.3102/003465430298487

Faruk Ateş flickr.com

"information provided by an agent (teacher, peer, book, parent, self, experience) regarding aspects

of one’s performance or understanding”

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Hounsell, D. (2007). Toward more sustainable feedback to students. In D. Boud & N. Falchikov (Eds.), Rethinking Assessment in Higher Education: Learning for the Longer Term. London and New York: Routledge.

Perceived as an administrative chore instead of a pedagogical necessity

Marcin W

ichary flickr.com

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Allen Lai flickr.com

Hounsell, D. (2007). Toward more sustainable feedback to students. In D. Boud & N. Falchikov (Eds.), Rethinking Assessment in Higher Education: Learning for the Longer Term. London and New York: Routledge.

Downward spiral: Student disenchantment mounts when feedback is uninformative and still,

less feedback is provided

Solution: provide high-value feedback, rethink the role of student, enhance relation between guidance and feedback

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Hattie, J., & Timperley, H. (2007). The Power of Feedback. Review of Educational Research, 77(1), 81-112. doi:10.3102/003465430298487

Orkom

edix flickr.com

Feedback Levels1. Task Level (understanding,

performance)

2. Process Level (what to do to understand, perform)

3. Self-regulation level (detecting and directing effort)

4. Self level (personal evaluation and affect)

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Bjork, R. A., Dunlosky, J., & Kornell, N. (2013). Self-regulated learning: beliefs, techniques, and illusions. Annu Rev Psychol, 64, 417-444. doi:10.1146/annurev-psych-113011-143823

• May not know how to promote comprehension, retention, transfer.

• May not assess properly our own learning

• May be biased when judging our learning

• May rely too much on social beliefs

• Towards “adaptive learners”

Christian W

eidinger flickr.com

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Janne Moren flickr.com

Dunlosky, J. (2013). Strengthening the Student Toolbox. Study Strategies to Boost Learning. American Educator, 37(3), 12-21.

Suggest learning strategies to students

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Personalised suggestions

Woody1778a flickr.com

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Laverrue flickr.comIncrease in personalisation = increase in knowledge

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From visualisations to actions

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.

Kannan B flickr.com

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Yvonne Larsson flickr.com

Pressure Quality/Cost

Student Feedback

Data-drivenSupport

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PNN

L Pacific Northw

est flickr.com

• Collect data about how students participate in a learning experience

• Translate observations into actions

• Take into account the instructional design

• Expertise of the instructor

• Create and deploy personalised support actions

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Intan A3 flickr.com1) Go beyond feedback at the task level

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2) Comprehensive*, multimodal, real-time data collection

bodhithaj flickr.com

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3) Clean, relevant data sources at the instructor’s fingertipsN

ick Readhead flickr.com

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Small Realm

flickr.com

4) Capacity to deploy immediate personalised support actions

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Yvonne Larsson flickr.com

Pressure Quality/Cost

Student Feedback

Data-driven Support

Examples

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Tracking

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You should take a more careful look at how symbols are encoded in the video. Would you be able to encode/decode UAL symbols without looking at the video?

Good initial work. However, did you understand the trick to handle encoding with a variable number of bits? Would you be able to provide an example?

Good work. Would you be able to come up with your own machine language and your encoding scheme? Remember that it has to be unambiguous.

Thorough work with the task about machine language encoding. Give it a quick review before the midterm.

Q1 Q2 Q3 Q4

Instructor

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AutomaticEmail

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1) Email remains the primary and preferred channel of communication with the University

http://libinnovation.blogspot.sg/2016/11/how-do-students-really-prefer-to.html

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Effect size (Cohen’s d) = 0.49. Medium positive effect

Effect size (Cohen’s d) = 0.21. Small positive effect

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Liu, D. Y.-T., Bartimote-Aufflick, K., Pardo, A., & Bridgeman, A. J. (2016). Data-driven Personalization of Student Learning Support in Higher Education. In A. Peña-Ayala (Ed.), Learning analytics: Fundaments, applications, and trends: A view of the current state of the art. In preparation: Springer.

Instructors define simple rules to create personalised emails from multiple data sources

Student Relationship Engagement System

Not so m

uch flickr.com

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ontasklearning.org (in production)

IF [video 3.9.5 not watched] THEN “…."

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Alan Levine flickr.com

Workshop to

• Expose academics and educational designers to data sets

• Frame the need for personalised support

• Explore immediate vs long-term actions

• Jumpstart the conversation

• Identify institutional needs

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Pardo, A., Jovanović, J., Dawson, S., Gasevic, D., & Mirriahi, N. (2016). Exploring student interactions with preparation activities in a flipped learning experience. Computers & Education, Manuscript under review.

Identify student interactions in flipped learning environment

Yvonne Larsson flickr.com

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Jovanović, J., Gasevic, D., Pardo, A., Dawson, S., & Mirriahi, N. (2016). Learning Analytics to Unveil Learning Strategies in a Flipped Classroom. The Internet and Higher Education, Manuscript under review.

1. identify engagement patterns in active learning environments

2. Ground for personalised suggestions 3. Increase student awareness about strategies

Luc Legay flickr.com

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Ed Dunens flickr.com

Focus on improvements on the learning experienceData provides insight on engagementCombine data with instructor expertise

Use technology to scale personalisation

Page 44: The role of data in  the provision of feedback at scale

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

The role of data in the provision of feedback at scale

APRU ERT Forum 18 November 2016

Faruk Ateş flickr.com