learning analytics in higher education: promising practices and lessons learned

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LEARNING ANALYTICS IN HIGHER EDUCATION PROMISING PRACTICES AND LESSONS LEARNED Bodong Chen, University of Minnesota October 27, 2016, Manila, Philippines @bod0ng

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LEARNING ANALYTICS IN HIGHER EDUCATIONPROMISING PRACTICES AND LESSONS LEARNED

Bodong Chen, University of Minnesota

October 27, 2016, Manila, Philippines

@bod0ng

BODONG CHENAssistant Professor in Learning Technologies

University of Minnesota-Twin Cities Research interests: online learning, learning analytics, CSCL,

knowledge building

Credit: Dreamtime.com

... my main concern is the well being of the

plant materials ... And because of the diversity

of plants that we grow, we have to have a

wide range of niches to put those plants into.

Some need it to be a little cooler. Some want it

a little warmer. Some want to be drier. Some

want to be wetter. Our job here is to work with

Mother Nature and to try to provide the

conditions optimal for growth.

Source

AMAZON RECOMMENDATIONS

LEARNING ANALYTICS IS“The measurement, collection, analysis, and

reporting of data about learners and their

contexts”

WHAT

Long, P., & Siemens, G. (2011). Penetrating the Fog: Analytics in Learning and Education. EducauseReview, 46(5), 30–32.

LEARNING ANALYTICS IS“The measurement, collection, analysis, and

reporting of data about learners and their

contexts

for understanding and optimising learning

and the environments in which learning

occurs”

WHY(Long & Siemens, 2011)

CAN ANY OF THESE PLAYERS AFFORD

NOT USING DATA?

WHAT I'M SEEING AS A PROFESSOR?

WHAT I'M SEEING AS A PROFESSOR?

Buckingham Shum, S. (2012). . UNESCO Institute forInformation Technologies in Education.

UNESCO Policy Brief: Learning Analytics

AGENDAA study of Australian universities

University of MinnesotaMy Classrooms

Cross-cutting factors

PART 1: A SNAPSHOT OF AUSSIE UNIVERSITIES

Colvin, C., Rogers, T., Wade, A., Dawson, S., Gasevic, D., Buckingham Shum, S., … Fisher, J. (2015).

. Australian Department of Education.Student retention and learning analytics: A snapshot of Australian practices and a framework for

advancement

AN INTERVIEW STUDYRESEARCH QUESTION

How senior institutional leaders perceived learning analyticsincluding the drivers, affordances and constraints?

PARTICIPANTSSenior institutional leaders

(Deputy Vice Chancellors)

ANALYSESQualitative Coding + Cluster Analysis

OVERALL POSITIVE

CLUSTERS NOT DEFINED BY 'YEARS' ...Cluster 1 (7) Cluster 2 (26)

Purpose Measure Understand

Driver type Ef�ciency Learning andstudent success

Retention Independent Inter-dependent

Learningdimensionality

Unidimensional Multidimensional

Analytics Predictive Learning itself

... ... ...

(Colvin et al., 2015)

PART 2: INITAITIVES AT MY UNIVERSITY

University-owned and directed consortium

GETTING PEOPLE INVOLVED!InstructorsStudentsAdvisorsAdministratorsResearch Faculty

Credit: UMN LA Team

UMN LEARNING ANALYTICSDATA

Student Information SystemLearning Management SystemsStudent Advising Systems

A COMMON DATA LAYER

ANALYTICSDashboardsPredictive engines

ONGOING UNIZIN PILOTSCanvas LMSEngageSnapshot...

BROADER DISCUSSIONSEthics: ethical use of dataStudents: interacting with studentsQuality: data qualityLeadership: the U's leadership structureResearch: esp. related to Unizin's deidenti�ed data

Credit: UMN LA Team

PART 3: AN EXPERIMENTATION IN MY CLASS

MY PEDAGOGICAL GOALSPromote forum participation from students?Help students become more aware and re�ective of their participation

SOCIOGRAM

WORDCLOUD

CROSS-CUTTING FACTORSTO CONSIDER

1. LEARNING ANALYTICS NOT NEUTRALData are not neutralOur analytics are our pedagogy (Knight et al., 2014)

Interventionist by nature educational visions and values Replicate - Amplify - Transform (Hughes, Thomas, & Scharber, 2006)

3. CULTURAL SHIFT AND CAPACITY BUILDINGData practicesEducator data literacyLeadership structure...

OPPORTUNITIES FOR OPEN UNIVERSITIESOpennessComprehensiveness of dataUnique local contextsCross-institution collaboration. . .