learning analytics and sensemaking in digital learning ecosystems - examples from higher education...

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http://Learning-Layers-eu http://Learning-Layers-eu Learning Layers Scaling up Technologies for Informal Learning in SME Clusters Learning Analytics and Sensemaking in Digital Learning Ecosystems Examples from higher education and the workplace Tobias Ley, Center for Educational Technology,Tallinn University

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Presentation given at the Seminar "Opportunities and Challenges of Learning with Technologies: Evidence-based Education" at the Permanent Representation of Estonia to the EU on 12 November 2014 in Brussels.

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Page 1: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-euhttp://Learning-Layers-eu

Learning Layers

Scaling up Technologies for Informal Learning in SME Clusters

Learning Analytics and Sensemaking in

Digital Learning Ecosystems

Examples from higher education and the workplace

Tobias Ley, Center for Educational Technology,Tallinn University

Page 2: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

Digital Learning Environments

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Villemard, 1910: À l' École, Bibliotèque national de Francehttp://expositions.bnf.fr/utopie/grand/3_95b1.htm

Page 3: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

Some trends in distributed

Learning Environments

• Use of social media and social software in education and at the workplace

• Open Educational Resources

• A drive towards Personal Learning Environment

• New pedagogical trends: Self-directed learning, learning as knowledge building

• Lifelong Learning and Professional Development

• MOOCS and other modes of scaling learning

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Page 4: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

Dialectics of TEL system

evolution

• THESIS: mainstream TEL systems today are LMS (e.g. Moodle)• ANTITHESIS: innovators among academic staff are radically

opposing LMS and propose using PLE and social media instead• SYNTHESIS: new quality, taking the best from both worlds.

Digital Learning Ecosystem?

IVA LMS Blog-based

PLE

Dippler

DLE

!

Pedagogy-driven design User-centered design

1.1 Initial ped. framework

1.2. Participatory

design

1.3. Evaluation

2.1. Experimenting with blogs

2.2. Participatory

design2.3. Case

studies

3.1. Participatory design

3.2. Updated

ped. framework

3.3. Participatory

action research

3.4. Generic ped.

model for DLE

Page 5: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Digital Learning Ecosystem

DLE is an adaptive socio-technical system consisting of mutually interacting digital agents (tools, services, content used in learning process) and communities of users (learners, facilitators, trainers, developers) together with their social,

economical and cultural environment.

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Page 6: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Some Examples

• Higher Education: From blog-based courses to digital learning ecosystems

• Higher Education: Managing the MOOCS Ecosystem

• Scaling Informal Learning at the Workplace

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Page 7: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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EDUFEEDR, LEPRESS &

DIPPLER

Higher Education: From blog-based courses to digital learning ecosystems

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Page 8: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

Open and Personal

Blog-based Courses

• Students use Weblogs as Personal Learning Environments

• Courses are temporal configurations of learning settings

• Tools offer coordination, awareness and management functionalities

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Course Blogs

Student Blogs

ContentAssignments

FeedackAnalytics

EduFeedrLePressDIPPLER

Page 9: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Page 10: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

LePress: Creating a

course

Page 11: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

LePress Classbook – Teacher’s

View

Page 12: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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DIPPLER: Prototype of a Digital

Learning Ecosystem

Social media

Blog Profile

Courses

Activities

RSS

Users

Analytics

Courses

Widgets

Institutional

BOS Middleware:

BackOffice Service

Cloud

Storage

HTTP

WS

Types of tasks:PostStructured postArtefact (file) Discussion Self-testTest Group task Offline task

All coursesFeatured

My courses

Course page

SummaryCourse infoOutcomesAnnouncem.ParticipantsGroupsResourcesTasksSettings

Categories

Learner's Wordpress

with Dippler plugin

Dippler: institutional

client, teacher's tool

IOS app:

mobile client

Page 13: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Connecting…

• Competences with learning outcomes

• Learning outcomes with assignments

• Assignments with learning resources

Page 14: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

EMMA

Higher Education: Managing the MOOCS Ecosystem

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Page 15: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

EMMA Learning Analytics

• For learners:– Support personalization and support the achievement

of learning goals through:• personalized feedback to individual learners• new learning paths recommendations• reflection opportunities to assist in monitoring learning and

achievement

• For MOOC providers/ instructors– Offers prediction functionalities to give feedback in

order to enhance/improve their course design considering traced learning experiences

Page 16: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Learning Analytics in EMMA

Page 17: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Page 18: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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LEARNING LAYERS

Scaling Informal Learning at the Workplace

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Page 19: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

The Dilemma of Informal

Learning at the Workplace

How do people learn at the workplace?• Ask colleagues, search for help, try

things out, learn from experience• Learning is informal, connected to

work practices, multi-episodic, just-in time [Hart 2011, Kooken 2009]

How do learning technologies look like? • follow traditional training models• based on direct classroom instruction

and courses transfered to the screen [Kraiger 2008]

highly effective

individualized

contextualized

motivating

does not scale

not persistent

few benefit

expensive

Page 20: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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http://www.flickr.com/photos/seattlemunicipalarchives/7165372144/

Seattle Municipal Archives

http://creativecommons.org/licenses/by/2.0/legalcode

Building & Construction

Page 21: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

Straw Building

How To

X3-PVQX3-PJC

X3-POZ PLC Equipment

One possible

Construction Scenario

Explaining the use of a new construction technique and materials on site

Making video material available on site through QR tagsUse of video recording and

annotation

Further questions on the use of the technique connected to site

Material, questions and best practices collected and

discussed

Collection transformed into instructional material to

enhance traditional training

Page 22: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Deployment & SustainabilityScaling in Regional Clusters

Architecture & Integration LayerIntegration through Common Infrastructure

Workplace Learning LayerIntegration through Workplace Learning Practices

Scaling Informal Learning:

Project Architecture

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Interaction Layers: An Ecosystem of Tools

Social Semantic LayerIntegration through Shared Meaning

Interacting with Physical Objects

Interacting with People

Interacting with Digital Materials

Straw Building How To

X3-PVQX3-PJC

X3-POZ PLC Equipment

Page 23: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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ACHSO!

Mobile Social Learning on the Construction Site

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Page 24: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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AchSo! Mobile Learning on the

Construction Site

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Video: http://vimeo.com/84383004

Software: http://developer.learning-layers.eu/tools/ach-so/

Page 25: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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MAKING SENSE OF BITS AND

PIECES

Sensemaking in the Healthcare domain

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Page 26: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Design Idea

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more busy time more flexible working time

EvernoteAchSo!

KnowBrain

B&P

Page 27: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Bits and Pieces - Sensemaking

about Learning Experiences

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Software: http://developer.learning-layers.eu/tools/bits-and-pieces/Running Demo

Page 28: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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THE SOCIAL SEMANTIC

SERVER

Integrating the Tool Ecosystem

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Page 29: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

Deployment & SustainabilityScaling in Regional Clusters

Architecture & Integration LayerIntegration through Common Infrastructure

Workplace Learning LayerIntegration through Workplace Learning Practices

Scaling Informal Learning:

Project Architecture

29

Interaction Layers: An Ecosystem of Tools

Social Semantic LayerIntegration through Shared Meaning

Interacting with Physical Objects

Interacting with People

Interacting with Digital Materials

Straw Building How To

X3-PVQX3-PJC

X3-POZ PLC Equipment

Page 30: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

http://Learning-Layers-eu

Who When Where What ... ... ... ... ... ...

An Artefact Actor Network

User Profile

Resource Profile

Topic Modeling

RecommendedResource

Each interaction increases the network ...

... and is tracked in the history

Trust and Social Network

Traces of the Network History

Knowledge is built by people interacting with other people and artefacts

New Information displayed to Support User Interactions

Intelligent Services derive new information

1

2

3

4

5

Who When Where What ... ... ... ... ... ...

Who When Where What ... ... ... ... ... ...

Who When Where What ... ... ... ... ... ...

Whom to ask? What to read and watch? Who are the experts? What do people talk about?What’s the quality?

Page 31: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Project

Consortium

Basiskarte: digitale-europakarte.de

Project Coordination

Learning Technology Research

Regional Application Clusters

Scaling Partners

Technology Partners

Health Care – Leeds

Construction & Building – Bremen

Page 32: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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DLEs introduce new

opportunities ...

• Social and informal processes play a bigger role in learning

• Better opportunities for connecting formal and informal contexts of learning

• Learning across institutional boundaries

• Learning as knowledge creation, not as simple acquisition

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Page 33: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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... but also new challenges!

• How to make tools work together to allow for a meaningful learning experience?

• How to help learners make sense of the multitude of content and experiences?

• How to enable teachers and institutions to exhibit some control over the learning process?

• How to make the educational system evidence-based?

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Page 34: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Conclusions

• Both tools and infrastructure are needed to make sense of the Digital Learning Ecosystem

• Learning Analytics provide an opportunity to cope with the inherent complexity and make education more evidence-based

• Great Opportunities for European Learning Technology SMEs

– Strong focus on Open Source and Open Resources

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Page 35: Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples from higher education and the workplace

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Learning in the Digital Ecosystem

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Tobias LeyTallinn University

Institute of [email protected]

skype tobias_ley

http://tobiasley.wordpress.com

Learning Layers ProjectICT EU-FP7, 12mEUR, 2012-2016

Web: http://learning-layers.eu

Software: http://github.com/learning-layers