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Overview of Learning Analytics & Educational Data Mining

Ryan Baker, IEDMSGeorge Siemens, SoLAR

Agenda

IntroSoLARIEDMSWhat do EDM/LA researchers do?State of the fieldGoing Forward

-Build the field of Learning Analytics through cross-disciplinary interactions, identification of research and teaching needs, advancement of LA methods, and connecting isolated researchers and research communities.

-Develop the skills and knowledge of doctoral students and academics, equipping them to engage actively in LA research and teaching.

Why LASI?

LASI Locals

(consider running one next year)

-Hong Kong, Denmark, South Africa, Latin America, France, Spain (Granada & Madrid), Scotland, Australia, Netherlands

Thanks to Simon Buckingham Shum for organizing

Thanks:

Charles, Garron for hard work behind the scenes

Dragan, Mykola, for an outstanding program

Grace for admin/organization

Thanks:

Next year: MIT

Agenda


What is SoLAR?

Scientific organization promoting high quality research in data and analytics generated through the learning process

What does SoLAR do?

LAKJLALASIOLALAMP

Agenda


What is the EDM Society?

Supports collaboration and scientific research in mining big data from educational contexts

What does IEDMS do?

EDM conferenceJEDMEDM-ANNOUNCE/EDM-DISCUSSSupporting role in LASI, OLA, LAMP

Agenda


Types of EDM method(Baker & Siemens, in press; building off Baker & Yacef, 2009)

• Prediction• Structure Discovery• Relationship mining• Distillation of data for human

judgment• Discovery with models


• Prediction– Classification– Regression– Latent Knowledge Estimation


• Structure Discovery– Clustering– Factor Analysis– Domain Structure Discovery– Network Analysis


• Relationship mining– Association rule mining– Correlation mining– Sequential pattern mining– Causal data mining

Agenda


What is happening in LA?

Dawson et al 2014

Dawson et al 2014

Trends

Maturation of researchGrowing impact on practiceIncreased computer science representation

What is happening in EDM?

• A lot of classification and regression• Increased emphasis on latent

knowledge estimation and knowledge structure discovery

• Reduced emphasis on relationship mining

Baker & Inventado, in press


• Broadening range of constructs studied–Meta-cognition– Affect– Engagement–Motivation– Long-Term Participation

• Increased number of discovery with models analyses

Baker & Inventado, in press


• Basic research• Automated intervention

• And increasingly, we’re learning from LAK and getting into reporting


• Increased participation of industry; industry track

• Workshops

Agenda


What do we need to be doing better?

To advance as a field, LA researchers and practitioners need to address the following:

(a) development of new tools, techniques, and people; (b) data: openness, ethics, and scope; (c) target of analytics activity; and (d) connections to related fields and practitioners.

Challenges that we face

Public pushbackBroadening scope of dataCreating strategic links to related academic/research communities

EDM2015

• Madrid, Spain

EDM2015

• Madrid, Spain

The Poughkeepsie of Europe

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