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Engaging students in developing a learning analytics app
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Jisc learning analytics-studentapp-alt-c2015

Apr 14, 2017

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Data & Analytics

Paul Bailey
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Page 1: Jisc learning analytics-studentapp-alt-c2015

Engaging students in developing a learning analytics app

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Student Learning Analytics App 2

“learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs”

SoLAR – Society for Learning Analytics Research

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Workshop Outline

Jisc Learning Analytics Project OverviewStudent Participation in the design

process – what they wantedSpecification for a learning analytics

app – what we didGroup activity – what you thinkPlenary

http://analytics.jiscinvolve.org/wp/

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It operates shared digital infrastructure and services, negotiates sector-wide deals with IT vendors and commercial publishers, and provides trusted advice and practical assistance for universities and colleges.

Jisc is the UK higher and further education sectors’ not-for-profit organisation for digital service and solutions.

About Jisc…

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About Learning Analytics…

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What do we mean by Learning Analytics?The application of big data techniques such as machine based learning and data mining to help learners and institutions meet their goals:For our project: »Improve retention (current project)»Improve achievement (current project)»Improve employability (current project)»Personalised learning (future project)

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Jisc’s Learning Analytics ProjectThree core strands

Learning Analytics Service

Toolkit Community

Jisc Learning Analytics

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Student Participation – What they wanthttp://analytics.jiscinvolve.org/wp/2015/04/29/what-do-students-want-from-a-learning-analytics-app/

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Focus on assessment – how well am I doing compared with others

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Summary of all grades and predictions of what is required to be “successful”

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How are you spending your time – what should you be doing more or less?

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A prioritised SHORT list…My assessmentsSee the grades obtained, rank against other students, assignments are due, grades in assignments in order to obtain particular degree classifications?My engagementLecture attendance; campus visits; Library engagement; VLE engagementMy reading listsHow much am I engaging with the reading list on each of my modules? Check-in to eventDetails of all lectures (or tutorials/seminars/labs) and notifies me if the lecture has been cancelled.

Find a study buddyEnter interests, skills to offer/share shows me others who can help or want to shareExtra eventsMade aware of relevant events that I might want to attend How am I feeling?Confident; confused; upset; happyMy consentI can decide what’s done with my data.

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Activity 1- Principles

On each table:Principles of the learning analytics app (First Release)

Questions to discussFeedback on the principles

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Student app - what we are doing

PrinciplesComparative – seeing how you compare with class averages or the top 20% of performers for example may provide a competitive element or at least a reality check, driving you to increased engagement.Social – being able to select “friends” with whom to compare your stats may add another level of engagement.Gamified – an app which includes an element of gaming should encourage uptake by some students. This may be manifested in the use of badges such as a “Library Master” badge for students who have attended the library five times.Private by default – while data that the institution knows about you from other systems may be fed to the app, the privacy of any information you input in the app yourself will be protected. However anonymous usage information may be fed back to the app backend.Usable standalone – by students whose institutions are not using the Jisc architecture.Uncluttered – the app should concentrate for the time being on learning analytics data and not be bloated with functionality which replicates what is already present in the VLE/LMS or in other applications.

See http://analytics.jiscinvolve.org/wp/2015/08/21/student-app-for-learning-analytics-functionality-and-wireframes/

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When first logging in the student is able to select their institution from a pre-populated lists of UK universities. If the students’ institution is using other parts of Jisc’s learning analytics architecture, in particular the learning analytics warehouse, then much more data will be available to the app.

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The screen will be an activity feed or timeline, we plan to integrate this dynamic and engaging concept, so essential to applications such as Twitter and Facebook.

Photos or badges could be included next to the text.

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Stats – Provides an engagement and attainment overview and drilling down to gives comparative activity graphs.

Log – Allows you to log time spent on specified activities e.g. reading for an assignment

Target – Allows you set personal targets to improve your engagement e.g. study for 10 hours this week

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The engagement and attainment overview mirrors what many fitness apps do: it provides an overview of your “performance” to date. Critically here we show how you compare to others. This will be based on data about you and others held in the learning analytics warehouse.

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In the activity comparison screen you’ll see a graph of your engagement over time and how it compares with that of others. You can select a particular module or look at your whole course.

You can compare yourself with people on my course, people on this module and top 20% of performers (based on grades).

Comparing yourself to prior cohorts of students on a module might be of interest in the future too.

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Starting an activity allows you to select the module on which you’re working, choose an activity type from a drop-down list such as reading a book, writing an essay, or attending a lab, and select a time period you want to spend on the activity and whether you want a notification when that period is up.

A timer is displayed in the image box and you can hit the Stop button when you’ve finished.  The timer will continue even if you navigate away from the app.

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Setting a target is the final bit of functionality we want to include in the app at this stage. Again this is building on the success of fitness tracking apps where you set yourself targets as a way of motivating yourself.

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Setting a target involves selecting a learning activity from a pre-populated list and specifying how long you want to be spending on it.

We added a “because” free text box so that learners can make it clear (to themselves) why they want to carry out the activity e.g. I want to pass the exam, tutor told me I’m not reading enough).

Users may be more likely to select a reason from a pre-populated list than to fill in a text field but we’ll monitor this to see whether it’s being used.

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Timetable

Final Specification October 2015 Development and user testing October 2015 to March

2016 (to engage with the project see http://analytics.jiscbetas.net/expression)

First release April 2016 – smart phone only Trial use April – September 2016 Second release – September 2016

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Activity 2 & 3 - what you think

On each table:1. Principles of the learning analytics app (First Release)2. Outline requirements from student consultations3. Wireframes of the first release

Activity 2: Feedback on the wireframes and principlesActivity 3: What three additional features do you think will be useful for students in the second release?

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Plenary….

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Contacts

Contacts: Paul Bailey [email protected]

Further Information: http://www.analytics.jiscinvolve.org

Join:[email protected]

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Activity 1: Feedback on the principles

Activity 2: Feedback on the wireframes

Activity 3: Three features students should have in the second release

1.

2.

3.

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Login and select your institutions, access data from learning records warehouse.

View your activity feed and how you are doing and what your colleagues and friends are doing.

View your engagement and attainment overview to see what you are doing in more detail

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View activity comparison graphs of your engagement over time compared with that of others.

Start an activity or view activities to track and motivate learning.

Set a activity for a module e.g. reading, revising, etc.

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View targets and review progress of all you targets.

Set targets for a week, day, month, etc.

Activity data will be used to show how you are progressing against targets