Open-source LA and “what the student does” Dr Phill Dawson, Monash Dr Tom Apperley, Melbourne.

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Open-source LA and “what the student does” Dr Phill Dawson, Monash Dr Tom Apperley, Melbourne

Transcript of Open-source LA and “what the student does” Dr Phill Dawson, Monash Dr Tom Apperley, Melbourne.

Page 1: Open-source LA and “what the student does” Dr Phill Dawson, Monash Dr Tom Apperley, Melbourne.

Open-source LA and “what the student does”

Dr Phill Dawson, MonashDr Tom Apperley, Melbourne

Page 2: Open-source LA and “what the student does” Dr Phill Dawson, Monash Dr Tom Apperley, Melbourne.

Structure

• Until 3:30pm• You will get a break• I will talk a bit (background concepts)• I will show some tools• You will talk a lot• You write an algorithm• You will probably argue about ethics

Page 3: Open-source LA and “what the student does” Dr Phill Dawson, Monash Dr Tom Apperley, Melbourne.
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Dr Phillip (Phill) Dawson

• Lecturer in Learning and Teaching at Monash

• Led a small grant in learning analytics

• Interested in how academics make decisions

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Who are you?

• LA researchers?• Educational designers?• LMS administrators?• University managers?• Faculty-based academics?• Academic developers?• Non-university?

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“the 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” (SoLAR)

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What LA do you use currently in everyday teaching? (ie not research)

• Nothing?• Reports? (eg ‘who has logged in?’; ‘who has

submitted assignment one?’)• Dashboards?• Something else?

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“Who is struggling or not engaging with my

course?”

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Free,modular,configurableextendable,open-sourcelearning analytics block for teachersto identify students at risk

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“the 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” (SoLAR)

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Learning happens because of…

1.What the student is?2.What the teacher does?3.What the student does?

Biggs 1999

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“learning is what the student does”

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Activity - pairs

• What do students do to learn in your context?– Long list– Specific– Verb stems– Online and offline– Effective and ineffective– Deep and strategic

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Which of these can easily be captured by LA?

Which of these can’t possibly be captured by LA?

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Sci-fi LA vs Real LA

Flickr user sndrv http://www.flickr.com/photos/sndrv/4519088620/ CC-BY

Flickr user dpape http://www.flickr.com/photos/dpape/2720632752/ CC-BY

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Typical Open-Source LA Tools

• Gather data on student use of parts of LMS• No integration with Student Management

Systems• Teacher dashboards• Reports• Some synthesis• Inconsistent design and language– At code + UI levels

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State of the Actual:Free/open/built-in LA

• Open-source tools– Engagement Analytics (documentation, demo vid)– Gismo– Analytics and Recommendations

• Vendor-supplied reports – (eg Desire2Learn)

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Modular ‘indicator’ architecture(so you can make additional indicator plugins)

Attendance Downloads

CompletionFacebook

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• If an assignment is very late it is riskier than if it is just a little late

• If an assignment is worth a greater percentage then it is riskier than if it is worth a small percentage

• If an assignment is past its due date and not submitted then it is riskier than if it was submitted late

How does the assessment indicator work?

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for each assignment, quiz, lesson in the course whose due date has passed{

daysLateWeighting = ((number of days late) - overdueGraceDays) / (overdueMaximumDays - overdueGraceDays)

assessmentValueWeighting = (value of this task) / totalAssessmentValue

if (daysLateWeighting > 1){

daysLateWeighting = 1}else if (daysLateWeighting < 0){

daysLateWeighting = 0}

if (task was submitted late){

risk = risk + daysLateWeighting * assessmentValueWeighting * overdueSubmittedWeighting

}else if (task was not submitted){

risk = risk + daysLateWeighting * assessmentValueWeighting * overdueNotSubmittedWeighting

}}

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Activity: specify a new ‘indicator’ of learning in your context

• What it does in one sentence• Procedure to give a number between 0% (no

risk) and 100% (high risk)– Words?– Pictures?– Flowchart?– Algorithm?

• What variables could we tweak?• How important is this indicator?

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Ramsden 1992, p. 187

“From our students’ point of view, the

assessment always defines the actual

curriculum”

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“Students can, with difficulty, escape

from the effects of poor teaching…”

Boud 1995, p. 35

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“…they cannot (by definition if they

want to graduate) escape the effects of

poor assessment”

Boud 1995, p. 35

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Teaching/Learning

AssessmentObjectives/Outcomes

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LA are only as good as curriculum

• Training statistical LA on assessment or retention outcomes ≠ learning

• Teacher needs to be in control of LA use and specify learning

• LA makes it more difficult to “escape the effects of bad teaching”

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“whether through denial, pride, or

ignorance, students who need help the most are least likely

to request it”

Martin & Arendale 1993 p. 2

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It’s the end of week 2 and student X hasn’t ever logged in.

What do we do?

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How can we make follow-up effective?

• Personal or robotic?• Paint a grim picture?• Refer on or see personally?• Specific guidance

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It’s the week of the census and modeling suggests student X is 70% likely to fail.

What do we do?

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How can we make follow-up ethical?

• Do students have a– Right to try (and fail?)– Right to give up– Right to be strategic

• Will draconian measures lead to LMS-farming?• Student-identified triggers

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It’s week 10 and student X already has 60% of the course grade but hasn’t logged in for two weeks.

What do we do?

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Discussion and close:the near-future for open-source

learning analytics

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Extra time options

• Live demonstration of Engagement Analytics tool

• Further specifying an indicator into pseudocode for a developer

• Develop strategies for following up students at risk

• Discuss student views of analytics tools• Discuss open-source

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References and sources• SoLAR definition of LA• Memes are from Quickmeme• NetSpot Innovation Fund logo courtesy of NetSpot. (You should apply for an open-

source development grant through them.)• Biggs, J. (1999). What the Student Does: teaching for enhanced learning. Higher

Education Research & Development, 18(1), 57-75. doi: 10.1080/0729436990180105

• Boud, D. (1995). Assessment and learning: contradictory or complementary. In P. Knight (Ed.), Assessment for Learning in Higher Education (pp. 35-48). London: Kogan Page.

• Ramsden, P. (1992). Learning to teach in higher education. London: Routledge.• Martin, D., & Arendale, D. (1993). Supplemental Instruction: Improving First-Year

Student Success in High-Risk Courses The Freshman Year Experience: Monograph Series (2nd ed., Vol. 7). Columbia, SC: National Resource Center for the First Year Experience and Students in Transition, University of South Carolina.