Analytics - Presentation in DkIT

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Text of Analytics - Presentation in DkIT

Predicted study for Edtech 2015

Learning Analytics - value what we measure or measure what we value

Dr Mark Glynn

@glynnmark

Contact detailsmark.glynn@dcu.ieglynnmarkhttp://enhancingteaching.com

OutlineIntroductionMotivation and goalsChallengesExamplesTechnical bitsDiscussionWhat would you like to analyseCollaboration

Teaching Enhancement Unit

TEACHINGENHANCEMENT UNIT

Onlineand Blended Learning Support

Awards and Grants

Credit Earning Modules

Professional Development Workshops

Data AnalyticsData analytics is the science of extracting actionable insight from large amounts of raw data

DIT MSc in Computing

Youtube

Tesco

DefinitonLearning 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. A related field is educational data mining.

- wikipedia

Discussion

What data do we already collect?

Use case studies promote good practice, recognise your colleagues, listen to your colleagues

So much student data we could useDemographicsAge, home/term address, commuting distance, socio-economic status, family composition, school attended, census information, home property value, sibling activities, census information

Academic PerformanceCAO and Leaving cert, University exams, course preferences, performance relative to peers in school

Physical BehaviourLibrary access, sports centre, clubs and societies, eduroam access yielding co-location with others and peer groupings, lecture/lab attendance,

Online BehaviourMood and emotional analysis of Facebook, Twitter, Instagram activities, friends and their actual social network, access to VLE (Moodle)

Motivation

Usage-driven predictive analytics on student performance with direct feedback to students and to Lecturers, during Semester, is not available anywhere else, worldwideClosest is the Open U who are slightly behind us

Discussion

What challenges do you foresee in your institution?

Use case studies promote good practice, recognise your colleagues, listen to your colleagues

Core Principles Open University UK

Amazon

Examples

The earlier we diagnose, the earlier we can treat

John CarrollMark GlynnEabhnat Ni Fhloinn@glynnmark

Maths Diagnostic test

Data Analytics on VLE Access DataHow much can we mine from a mouseclick ?

John BrennanOwen CorriganAly EganMark GlynnAlan F. SmeatonSinad Smyth

@glynnmark

No significant difference in the entry profiles of participants vs. non-participants overallPredictEd Participant Profile

On Leaving Cert data P(T