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Ensuring the integrity and Ensuring the integrity and interoperability of educational usage interoperability of educational usage and social data through Caliper and social data through Caliper framework to support competency framework to support competency assessment assessment A. Rayon, Mariluz Guenaga and A. Núñez

Fie2014 guenaga etal

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Page 1: Fie2014 guenaga etal

Ensuring the integrity and Ensuring the integrity and interoperability of educational usage interoperability of educational usage and social data through Caliper and social data through Caliper framework to support competency framework to support competency framework to support competency framework to support competency assessmentassessmentA. Rayon, Mariluz Guenaga and A. Núñez

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•• HigherHigher EducationEducation1

2

ContextContext

•• TechnologyTechnology--richrich environmentsenvironments2

•• CompetencyCompetency--basedbased learninglearning3

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Assessment of competenciesAssessment of competencies

� Subjective� Difficult to scale� Hard to find latent skills

ICT in education

Challenge

� ICT in education� Usage and social data� Great promise to improve

learning and assessment

LearningAnalytics

EnrichedRubrics

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Challenge: data interoperabilityChallenge: data interoperability

Models and Methods

AnalyticalData for

The scope of LA interoperability

It may be useful to define interoperability in levels:

• Domain-specific concepts•High-level concepts•Format

From: “Learning Analytics Interoperability – The Big Picture in Brief”. Adam Cooper, Cetis, University of Bolton, UK. March 2014. @laceproject

AnalyticalResults

Data forAnalysis

Q: how can we getdata out of theoperational system

Data takes many forms:

• Attributes and actions• Resources and context• Reference data

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Our proposal: SCALAOur proposal: SCALA

� upport ompetency ssessment through

approach

� Extensible web-platform

� Integrates usage and social data to provide enriched rubricsrubrics

◦ Uses IMS Caliper Measurement Framework

� Oriented to non-expert users: teachers and students

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Learning data

Context data

UDLM: University of Deusto Learning Model

UniversityFaculty

CurriculumSubject

Learning outcomes

MethodCompetency

IndicatorRubric

Intelligent data

SCALA data integration

SCALA Model

SCALA Process

SCALA DB

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Learning data

Context data

UniversityFaculty

CurriculumSubject

Learning outcomes

MethodCompetency

IndicatorRubric

Intelligent data

SCALA data integration

SCALA Model

SCALA Process

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University

Faculty

Teacher Student

University of Deusto’sLearning Model

Learning Event

ActionActivityContext

LearningContext

SCALA SCALA ModelModel

Faculty

Curriculum

Subject Syllabus

Teachingmethod

Workload

Genericcompetencies

Learningoutcomes

Indicator

AssessmentLearningActivities

Activitymetrics

Foundationalmetrics

Engagement Performance

Quiz

Lecture …

Reading

IMS MetricProfile

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SCALA Data SCALA Data IntegrationIntegration

� Service bus

◦ Data from the source to SCALA-DB

◦ Extensible data adapters

� SCALA process� SCALA process

◦ Extract-Transform-Load

◦ We use Kettle, Pentaho’s Data IntegrationModule

◦ In parallel for each data adapter

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ExperimentationExperimentation

� Context◦ 2013-14◦ Engineering Faculty◦ Entrepreneurship subject◦ Teamwork competency

Learning toolsTeamwork competency

� Learning tools◦ Moodle, Google Docs, MediaWiki, Youtube,

Twitter, Google Forms

� Result: SCALA integrates heterogeneus data into normalized and exchangeable data �interoperable

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ConclusionsConclusions

� Data interoperability is a key aspect of LA

� Involves benefits: efficiency, adaptability, durability of data, innovation, aggregation, sharing…sharing…

� We are ready for exploitation!

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Spanish Spanish Network OfNetwork Of Learning Learning

AnalyticsAnalytics

� Founded in 2013

� Network of researchers and developers interested on the field

Creating synergies and promoting related � Creating synergies and promoting related initiatives

� New members are welcome!

http://snola.deusto.es

[email protected]

@snolaresearch

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Thank you!Thank you!Mariluz Guenaga

[email protected]

@mlguenaga

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IMS IMS CaliperCaliper vs vs TinTin Can APICan API

� Balance between completelyopen mechanisms and rigidschema

� Is more encompassing:

◦ Takes a learning environment view

◦ Includes LTI as a important

� Widely used

◦ More experience

� Only defines the statementpattern

� It does not especify verbs

◦ Advantage: open to a wide range◦ Includes LTI as a importantcomponent

◦ Incorporates existing standards(LIS, QTI…)

� Both are interoperable

◦ Caliper � xAPI

◦ xAPI � mapping � Caliper

◦ Advantage: open to a wide rangeof users

◦ Disadv: adopters need to define these missing parts