Learning Analytics: What is it and what is its role in higher

education?

Professor Barbara Wasson, Director

Digitaliseringskonferanse 20194 J une 2019

CENTRE FOR THE SCIENCE OF LEARNING & TECHNOLOGY

SLATE.UIB.NO @SLATERESEARCH▸ Established in 2016 by the Norwegian Ministry of Education &

University of Bergen

▸ A national research and competence centre

▸ SLATE carries out research that explores and clarifies concepts such as learning analytics, big and small data in education, assessment for learning, and learning & technology, in all facets of human learning

▸Multidisciplinary Interdisciplinary

▸ Conduct integrated research that will advance the frontiers of the sciences of learning, as well as inform education practice and policy

▸Mandate: FOU & competence development in HE sector

LEARNING ANALYTICS

“LEARNING ANALYTICS IS THE MEASUREMENT, COLLECTION, ANALYSIS AND REPORTING OF DATA ABOUT LEARNERS AND THEIR CONTEXTS,1ST INTERNATIONAL CONFERENCE ON LEARNING ANALYTICS & KNOWLEDGE

1st International Conference on Learning Analytics & Knowledge (2011)

FOR PURPOSES OF UNDERSTANDING AND OPTIMIZING LEARNING AND THE ENVIRONMENTSIN WHICH IT OCCURS"

LearningActivity

DataCollection

Data Storing& Processing Analysing Visualisation

FeedbackActions

ISO/IEC JTC1/SC36 LA Hoel, T., Chen, W., & Cho, Y-S (2016)

Buckingham Shum, S. (2012)UNESCO Policy Brief, November 2012

Bienkowski, Feng & Means (2012)

Jisc Learning Analytics Architecturehttps://analytics.jiscinvolve.org/wp/2016/06/28/a-technical-look-into-learning-analytics-data-and-visualisations/

STATE OF THE FIELD REPORT ON LA

100 papers

Misiejuk & Wasson, 2017Available on BORA

Academic Information Teacher produced

Observation

Student produced

Homework

Assessment &Testing

Demographics Behaviour

TRADITIONAL EDUCATION DATA

NEW TYPES OF DATA▸ Click steam (activity data)

▸ Audio

▸ Video

▸ Facial expressions

▸ Eye tracking

▸ Bio Sensors

▸ Location

▸ Air quality

▸ fMRI

▸ etc

Multimodal learning analytics

Process datato understand learning

•Students & Teachers / Instructors• Institutions•Researchers

Stakeholders

•Reflective•Adaptive•Predictive

Actions

ROLE OF LA

•Access learning behaviour•Understand learning processes•Visualise learning activities

Patterns

• Trends• Student performance

Predictions

• Learning- and teaching actions• Individual learning• Improving pedagogical resources and activities

Recommendations

ROLE OF LA

▸ An analysis of the corpus showed that▸ learning analytics is a wide field with articles published in education, computer

science, and psychology journals▸ the research is data rich, but theory poor▸ predictive analysis is a very popular research area addressing HE institutional

problems such as dropouts, retention, and curriculum issues▸ predictive models/algorithms are situation dependent and there is little evidence

that they are transferable between different contexts ▸ implementation studies (cf Fergusen et al. 2016) wide gap between the potentials

identified in research & implementation; evidence of formal validation is lacking▸ data literacy – strong need for work here

STATE OF THE FIELD REPORT ON LAMisiejuk & Wasson, 2017

LA @ SLATE

LA ARCHITECTURES"How can a learning analytics architecture

be built and applied to address challenges in higher education?"

Jeanette

technical and semantic interoperability; semantic technologies

73%

REFLECTIONS

DATA: ACCESS, PRIVACY

DATA: XAPI, SECURE EXCHANGE

DATA: RIGHT?, CONTEXT, EXPLANATION

SCALEABILITY : INTEROPERABILITY, ALGORITHMIC TRANSFER

ETHICS

LEARNING ANALYTICSIS IN ITS INFANCY !

MANAGING EXPECTATIONS

Symposium for those that are interested in implementation of learning analytics in your institutions

29 October / 0 October