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Learning analytics: answering the FAQs Rebecca Ferguson The Open University SCONUL: June 2014

Learning analytics FAQs

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Presentation given at SCONUL 2014, the summer conference of The Society of College, National and University Libraries, Glasgow, June 2014. The presentation focuses on frequently asked questions (FAQs) about learning analytics, with the emphasis on the role and perspective of libraries in this area.

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Page 1: Learning analytics FAQs

Learning analytics:answering the FAQs

Rebecca FergusonThe Open University

SCONUL: June 2014

Page 2: Learning analytics FAQs

Take a minute to write down

or tweet the three questions

that would head your list of

FAQs about learning analytics

#sconulfaqs

Page 3: Learning analytics FAQs

Who are you?

• The Open University: largest in Europe• Making use of data for more than 40 years• Informal learning: iTunes, YouTube…• MOOCs on FutureLearn and OpenLearn• Learning analytics research / events• LACE project

Page 4: Learning analytics FAQs

What are analytics?

High-level figuresBrief overview for internal and external reports

Academic analyticsFigures on retention and success, for the institution to assess performance

Educational data miningSearching for patterns in the data

Learning analyticsUse of [big] data to provide actionable intelligence for learners and teachers

Page 5: Learning analytics FAQs

Is there a precise definition?

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.

Page 6: Learning analytics FAQs

Why do learners use analytics?

• Monitor their own activities and interactions

• Monitor the learning process

• Compare their activity with that of others

• Increase awareness, reflect and self reflect

• Improve discussion participation

• Improve learning behaviour

• Improve performance

• Become better learners

• Learn!

Page 7: Learning analytics FAQs

Why might I use analytics?

• Monitor the learning process• Explore student data• Identify problems• Discover patterns• Find early indicators for success• Find early indicators for poor marks or drop-out• Assess usefulness of learning materials• Increase awareness, reflect and self reflect• Increase understanding of learning environments• Intervene, advise and assist• Improve teaching, resources and the environment

Page 8: Learning analytics FAQs

Can you give me an example?

• Aligned with clear aims

• Huge and sustained effort

• Agreed proxies for learning

• Clear and standardised visualisation

• Driving behaviour at every level

Individual assessment within cohort

Page 9: Learning analytics FAQs

Is that an ideal example?Can we achieve this?

• Aligned with clear aims

• Huge and sustained effort

• Agreed proxies for learning

• Clear and standardised visualisation

• Driving behaviour at every level

Can we avoid this?

• Instructivist approach

• Stressed, unhappy learners

• Analytics with little value for learners or teachers

• Omission of key areas, such as collaboration

Page 10: Learning analytics FAQs

Don’t start with the data – start with the pedagogy

How do people learn?How can I use data to facilitate that process?

Social learning analytics:How do people learn socially & in social settings?How can I use data to facilitate that process?

How could we achieve that?

Page 11: Learning analytics FAQs

What questions should I ask?

• Which elements are learners struggling with?

• Which sections engage them the most?

• What prompts them to ask questions?

• How are they navigating resources?

• What misconceptions have they shown?

• Are there any accessibility issues?

How can analytics be used to achieve desired learning outcomes?

Page 12: Learning analytics FAQs

• Demographic data• Calendar information about assignments• VLE activity data (including forums).• Lists of required reading• Library resources usage data• Library helpdesk enquiries• Library website usage and analytics data• Assessment results• User survey results• Student retention and attainment data

What data could I use?

Page 13: Learning analytics FAQs

Does HE use learning analytics?

Purdue University

Page 14: Learning analytics FAQs

SNAPP: British Columbia

Are all analytics like that?

Page 15: Learning analytics FAQs

Disparate data

VLE (Moodle) data

Survey data

Help desk data

Library data

Assessment data

Registration data 250,000 students around the world

Faculty expertise

Learning design

Learning outcomes

Assessment strategy

Module connections

Resource understanding

Data Wranglers

Do you have an OU example?

Page 16: Learning analytics FAQs

Resource page? Sub page? URL?Significance of dates?

What does a Wrangler do?

Page 17: Learning analytics FAQs

Reach agreement on conventions

80% agreed or strongly agreed that….

Is that80% of registered students?80% of those who completed the survey?80% of those who completed both survey and course?

Or is it80% of survey respondents who completed thecourse and did not select ‘not applicable’

What else do Wranglers do?

Page 18: Learning analytics FAQs

Relate analytics to learning design

How many forums?What were their roles?How were they timetabled?

Anything else?

Page 19: Learning analytics FAQs

Support, not surveillance

Reporting at module level, not individual level

Survey responses kept apart from activity data

Making data accessible, not overwhelming

Negotiating meaning, not dictating interpretation

Are there any ethical issues?

Page 20: Learning analytics FAQs

Shared knowledge building

Is it all about wrangling?

Page 21: Learning analytics FAQs

Shared knowledge building

Does your library use analytics?

Page 22: Learning analytics FAQs

What about informal learning?

Page 23: Learning analytics FAQs

Social Network Status

Domain Expert

Reputation

Page 24: Learning analytics FAQs

Massive thousands may sign up

Open no payment is required

Online resources on the Internet

Courses time-bounded cohorts

Any links with MOOCs?(What are MOOCs?)

Page 25: Learning analytics FAQs

Introduction to Forensic ScienceUniversity of Strathclyde

You have been actively engaged in the discussions, which is excellent,

thank you, but with more than 23,000 participants it means that our

responses and comments risk getting lost.

Analytics could help to filter discussions

How could MOOCs use analytics?

Page 26: Learning analytics FAQs

Introduction to Forensic ScienceUniversity of Strathclyde

This will be primary school material for some of you and exactly the opposite for others. It is just not possible to tailor the material to

each of you […]

How could MOOCs use analytics?

Analytics could help to group learners

Page 27: Learning analytics FAQs

Analytics could help to focus attention

How could MOOCs use analytics?

Page 28: Learning analytics FAQs

Helping to identify useful analyticsWhat do learners need to know in order to network, collaborate, browse or reflect?What do educators need to know to support them?

Helping to identify gaps in the dataWhich data do we need to collect? Helping to identify gaps in our toolkitWhich design elements can we look at easily?Which ones still pose problems?

Any links with learning design?

Page 29: Learning analytics FAQs

Helping to frame and focus analytics questionsWhat did they learn?… in relation to learning outcomesWere they social?... when they were collaboratingDid they share links?... when encouraged to browseDid they return to steps?... when encouraged to reflect

Helping to identify appropriate forms of analysisThe same content, but with a focus onNumber of visits if contentLength, quality, number of comments if conversationalDwell time and repeat visits if reflection

Any links with learning design?

Page 30: Learning analytics FAQs

How are analytics used in libraries?MissionTo impact student measures of satisfactionTo demonstrate value-added to usersTo inform and justify policy

Teaching and learningTo target and assess interventionsTo position library teaching effortTo track user journeys

RecommendationsTo promote use of content beyond reading listTo link discovery, lists and recommendationsTo surface unused content jisclamp.mimas.ac.uk

Page 31: Learning analytics FAQs

How are analytics used in libraries?Collection managementTo deliver better / best value for moneyTo promote evidence-led decision-makingTo identify how faculties use the library

DataTo merge data from multiple systemsTo incorporate web analyticsTo provide compelling visualisations

ServiceTo correlate feedback, enquiries and collection strengthTo understand access patternsTo target skills development jisclamp.mimas.ac.uk

Page 32: Learning analytics FAQs

How are you using analytics?

Collection management

Mission

Data

Teaching and learning

Recommendations

Service

jisclamp.mimas.ac.uk

Page 33: Learning analytics FAQs

bit.ly/1130R0Y

bit.ly/VUGBfJ

Where can I find out more?

jisclamp.mimas.ac.uk

bit.ly/1qulB06

Page 34: Learning analytics FAQs