lak12 learning designs and learning analytics workshop

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This workshop was presented at the Second International Conference on Learning Analytics and Knowledge (LAK12) by Lori Lockyer & Shane Dawson.

TRANSCRIPT

Where Learning Analytics meets Learning Design

Lori Lockyer, University of Wollongong

llockyer@uow.edu.au

Shane Dawson, University of British Columbia

shane.dawson@ubc.ca

Workshop Overview• 1.00 – 1.15 : Introductions • 1.15 – 1.50: Learning Design• 1.50 – 2.30: Learning Analytics • 2.30 – 3.00: Break• 3.00 – 3.30: Identifying Analytics to support

designs• 3.30 – 4.00: Group reports and Conclusion

Introductions

• Who you are?• Where you are?• What you do?• Where are you with learning designs and/or

learning analytics

Learning Design

Concept evolved soon after the ‘learning object’ concept

Building on ideas of packaging, describing, storing, sharing, reusability

Who, what, where, when, how of teaching and learning

Internationally

Terminology: pedagogical models, pedagogical patterns…

IMSLD http://www.imsglobal.org/learningdesign/

Different frameworks to describe learning designs

Different tools and strategies to create and adapt learning designs

learningdesigns.uow.edu.au (2000)

Based on: Oliver, R. (1999). Exploring strategies for online teaching and learning. Distance Education, 20(2), 240-254.

The Learning Design Journey Language for resources, activities, supports

Tools to translate between teacher language, IMSLD, and LMSs

How do teachers use and interpret LDs

How can LD be used as for review/reflection

LD web 2.0 tool - http://needle.uow.edu.au/ldt/

How do teachers design?

How do teachers design?

• Iterative process• Macro to micro views• Differential considerations and constraints• Inspired by others – regardless of discipline

Activity:Interpreting Designs…

Learning Analytics Overview

1. Learning analytics

2. What data?

3. Case Studies

4. Aligning data with design

Background

Learning Analytics:

is the collection, collation, analysis and reporting of data about learners and their contexts, for the purposes of understanding and optimizing learning

Most important educational movement of the last 100 years.

Do not under estimate

Siemens, G. (2011). An introduction to the role of learning and knowledge analytics in education. Invited presentation, Lisbon, Learning Analytics

Background

Ed theory, Ed practice, SNA, Data mining, Machine learning, semantic, data visualisations, psychology (social, cognitive, organisational)

Large data sets – mine for trends/ patterns or anomalies.• Creatures of habit (Study,

communication, search patterns, networks, credit card security, Movies)

What do patterns indicate and what do changes in habit indicate?

What data do you have access to?

• Online/Offline• Individual/Course/ Program/

Faculty or institutional• Psych based surveys?

Activity

Relationship between grades and online activity

Performance and Behaviour

What data?

Yes there is relationship!

Performance and Behaviour

Frequency of loginsDiscussion activity

Influenced by context

An online world

Concerns with Attrition• Motivation the issue

• Achievement orientations

Achievement orientations

Learning or performing• Carol Dweck• Jen Tan

I just failed my essay. Maybe it was a mistake to text it to my English teacher

Study

Grad School of Medicine• PBL centric• Well integrated OLE

Study

OLE• LMS – clinical cases, content, virtual patients• Learning forum• Admin forum

Study

Learning analytics- Tracking data

Study

Learning analytics• Time online• Forum postings• Sessions• Content• Files• SNA

Learning dispositions• 5 factors

• Learning Goals• Performance Goals• Personal Innovativeness• Cognitive playfulness –

curiosity• Cognitive Playfulness -

creativity

Results

Where to post?• LG = Learning and sharing forum• PG = Admin forum

High users of Admin forum - performance driven

Predicting motivation

High users of learning forum – learning driven

Monitor student participation for understanding motivation – reduce attrition?

So what? Predicting motivation

Better develop and personalise student learning support

Context related

What about social networks?

Student social network data as measures of student learning

Ties = interaction between 2 students

Node = student

Social Networks Adapting Pedagogical Practice

SNAPP

SNAPP

SNAPP

Instructor – subject aim to generate a student community through the online discussion activities

Disconnected students

SNAPP

Instructor – using SNAPP over the course

SNAPP

Signature pedagogy?

Indicators of Academic Success

Engagement in discussion forums

Individual NetworksDisconnected students

Network density

Individual Networks

Ego-networks• Top 10%• Bottom 10%

Individual Networks

Top 10% student located in network

Low 10% network example

Student with a passing grade

Individual Networks

High 10% network example(>90% grade score)

Low 10% student located in network

Students with a grade >75% < 90%

Teacher presence

• Staff intervention• High – 70% of networks• Low – 10% of networks• Why?• Developing community

Blind pursuit of communityModify context

Monitoring online networks – not just participation

- Academic performance- Networking skills- Communication- Creative capacity

Learning analytics – Creativity?

Ronald Burt

“…see early and more broadly”

Communication

Problem solving

Translators of information

Burt, R. (1992). Structural holes: The social structure of competition. Cambridge, Mass: Harvard University Press.

Learning analytics – Creativity?

Bridging structural holes

Learning analytics – Creativity?

Student cognitive playfulness and creativity

Mapping network centrality measures- Betweenness- Closeness- Degrees

Learning analytics – Creativity?

Learning analytics – Creativity?

Very complex

Bringing design and analytics together

Analytics to inform design decisions

Just-in-time analytics to understand learner activity and experience during implementation

Recommendations for action

Analytics for post-implementation reflection and revision

Activity

Learning Design:

What are the core interaction types and why? (engagement, community, independent study, knowledge recall)

What data can you access? Where is this located?

What data will inform these?

What patterns do you anticipate?

Thank you – Questions?

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