Learning Analytics as a Metacognitive Tool

CSEDU 2014Barcelona

1. Data-based societies

2. Analytics in education

Analytics Prediction Personalization

Adaptation

Intervention

Education Educational Data Mining

Academic Analytics

Learning Analytics

2. Learning Analytics

“The measurement, collection, analysis and reporting of

data about learners and their contexts, for purposes of

understanding and optimizing learning and the

environments in which it occurs”.

Society of Learning Analytics Research, 2013

3. Learning Analytics & Metacognition

Metacognition

Strategic Task ControlReflective Inquiry

Self Directed Learning &Self Regulated Learning

Motivation

Management

Monitoring LearningAnalytics

Pilling-Cormik & Garrison, 2007

4. Towards Student-Centered Analytics

LEARNING ANALYTICS

5. Design of environments supporting SDL & SRL

DigitalEnvironment

supporting Self Directed Learning &Self Regulated Learning

Plan

Receive feedback

Evaluate

should allow

6. Learning Analytics Design

Needs

Recognition of students’ ownership of data

Direct interaction with the data

Transparency and understandability

6. Learning Analytics Design

Some cases

Fig.1 - CAMeraFig.2 - MyExperiences

Fig.3 - Moodog

6. Learning Analytics Design

Goals

Support reflection and awareness

> Users have control on the data being monitored

6. Learning Analytics Design

Goals

Help transforming data into knowledge

> Use of information visualization as a tool for sense-making

David McCandlessInformationIsBeautiful.net

6. Learning Analytics Design

Goals

Encourage students to identify what do they value of their learning process

> Find out what is relevant ?

Thanks!

CSEDU 2014Barcelona

bgros@ub.edueva.durall@aalto.fi