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Christian Sailer, Peter Kiefer, Joram Schito and Martin RaubalChair of Geoinformation Engineering

ETH Zürich (Switzerland)

An evaluation method for location-based mobile learning based on spatio-temporal analysis of learner

trajectories

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Learning management systemfor location-based mobilelearning

An evaluation method

Scope

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Bild durch Klicken auf Symbol hinzufügen

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Geocaching - Mobile location-based Gaming

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Location-based Education

Situ

ated

lear

ning

(Bro

wn

et a

l. 19

89, L

ave

& W

enge

r 199

1) Open Classroom

Field work: Explore, Collect, Analyse

Con

text

ual l

earn

ing

(Pat

ten

et a

l. 20

06)

Col

labo

rativ

e S

yste

m (T

an e

t al.

2010

)

Collaboration

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OMLETH: A Platform for Location-Based Mobile Learning at ETH

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w.o

mle

th.c

h

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MappingEvalu

Editor App Evaluation

Evalu

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Student App

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01.05.2023 12

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01.05.2023 12

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Movement Data Movement

data is a temporal sequence of position records:

{id,} x,y,t

Evaluation of learner’s movements (spatio-temporal trajectories)

x,y,t

x,y,t

x,y,t

x,y,t x,y,t

x,y,t

x,y,tx,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,tx,y,t

x,y,tx,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,tx,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t

x,y,t x,y,tx,y,t

x,y,tx,y,tx,y,t

x,y,tx,y,t

x,y,t

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Single Learner

Multiple unrelated learners

Multiple related learners

Types of evaluation methods

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Visual Analytics (VA)

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Seamless spatio-temporal trajectory

Function linked spatio-temporal trajectory «Request unit»

Visual Analytics of a single learner

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Single learner

-

Seamless trajectory

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Single learner

-

Request unit trajectory

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Seamless spatio-temporal trajectory

Function linked spatio-temporal trajectory «Request unit»

Visual Analytics of the learner group (related)

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Group related

-

Seamless trajectory

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Group related

-

Request unit trajectory

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VA in 3D

And

rienk

o &

And

rienk

o, 2

009

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VA – Group Learners related

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VA – Group Learners related

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VA – Single Learner trajectory – id1

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VA – Single Learner trajectory – id7

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VA – Single Learner trajectory – id10

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VA – Single Learner trajectory – id15

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capturing and analysing learning in context and across contexts

measuring mobile learning processes and outcomes respecting learner/participant privacy assessing mobile technology utility and usability considering the wider organisational and socio-cultural

context of learning assessing (in)formality.

Challenges of evaluating mobile learning

Vavuola & Sharples, 2009

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Location accuracy (Geo-) Privacy

Challenges related to our work

Big data

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Realtime Designs

Learner-centred

Nextgen Teaching

Mobile technology

21st Century

Skills

Dashboard -based

Education LMS Intelligence

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Empirical studies across disciplines and demography as well as social and cultural origin

More GIS components for LMS

Future Work

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Exchange at Conferences - Discussion

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Evaluation experiences of mobile learning

Combination of classical evaluation approaches (interviewing, online forms, etc.) and our method

Measuring the learning effects / performance derived from the spatio-temporal trajectories

My Interests

www.omleth.ch

csailer80