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Ensuring tthhee iinntteeggrriittyy aanndd 
iinntteerrooppeerraabbiilliittyy ooff eedduuccaattiioonnaall uussaaggee 
aanndd ssoocciiaall ddaattaa tthhrroouugghh CCaalliippeerr 
ffffrrrraaaammmmeeeewwwwoooorrrrkkkk ttttoooo ssssuuuuppppppppoooorrrrtttt ccccoooommmmppppeeeetttteeeennnnccccyyyy 
aasssseessssmmeenntt 
A. Rayon, Mariluz Guenaga and A. Núñez
CCoonntteexxtt 
1 • HHiigghheerr EEdduuccaattiioonn 
2 
• TTeecchhnnoollooggyy-rriicchh eennvviirroonnmmeennttss 
3 • CCoommppeetteennccyy-bbaasseedd lleeaarrnniinngg
Assessment ooff ccoommppeetteenncciieess 
 Subjective 
 Difficult to scale 
 Hard to find latent skills 
ICT in education 
Challenge 
  Usage and social data 
 Great promise to improve 
learning and assessment 
Learning 
Analytics 
Enriched 
Rubrics
Challenge: ddaattaa iinntteerrooppeerraabbiilliittyy 
Models and 
Methods 
The scope of LA 
interoperability 
Data for 
Analytical 
It may be useful to define 
interoperability in levels: 
• Domain-specific concepts 
•High-level concepts 
•Format 
Results 
Analysis 
Q: how can we get 
data out of the 
operational system 
Data takes many forms: 
• Attributes and actions 
• Resources and context 
• Reference data 
From: “Learning Analytics Interoperability – The Big Picture in Brief”. Adam Cooper, 
Cetis, University of Bolton, UK. March 2014. @laceproject
OOuurr pprrooppoossaall:: SSCCAALLAA 
 upport ompetency ssessment through 
approach 
 Extensible web-platform 
 Integrates usage and social data to provide enriched 
rruubbrriiccss 
◦ Uses IMS Caliper Measurement Framework 
 Oriented to non-expert users: teachers and students
Learning 
data 
Context 
data 
UDLM: 
University of Deusto Learning Model 
University 
Faculty 
Curriculum 
Subject 
Learning outcomes 
Method 
Competency 
Indicator 
Rubric 
… 
Intelligent 
data 
SCALA data integration 
SCALA 
Model 
SCALA 
Process 
SCALA 
DB
Learning 
data 
Context 
data 
University 
Faculty 
Curriculum 
Subject 
Learning outcomes 
Method 
Competency 
Indicator 
Rubric 
… 
Intelligent 
data 
SCALA data integration 
SCALA 
Model 
SCALA 
Process
University of Deusto’s 
University 
Faculty 
Learning Model 
Teacher Student 
Learning Event 
Action 
Activity 
Context 
Learning 
Context 
SSCCAALLAA MMooddeell 
Curriculum 
Teaching 
method 
Subject Syllabus 
Workload 
Generic 
competencies 
Learning 
outcomes 
Indicator 
Assessment 
Learning 
Activities 
Activity 
metrics 
Foundational 
metrics 
Engagement Performance 
Quiz 
Reading 
Lecture … 
IMS Metric 
Profile
SSCCAALLAA DDaattaa IInntteeggrraattiioonn 
 Service bus 
◦ Data from the source to SCALA-DB 
◦ Extensible data adapters 
 SSCCAALLAA pprroocceessss 
◦ Extract-Transform-Load 
◦ We use Kettle, Pentaho’s Data Integration 
Module 
◦ In parallel for each data adapter
EExxppeerriimmeennttaattiioonn 
 Context 
◦ 2013-14 
◦ Engineering Faculty 
◦ Entrepreneurship subject 
◦ Teamwork competency 
Learning tools 
 ◦ Moodle, Google Docs, MediaWiki, Youtube, 
Twitter, Google Forms 
 Result: SCALA integrates heterogeneus data 
into normalized and exchangeable data  
interoperable
CCoonncclluussiioonnss 
 Data interoperability is a key aspect of LA 
 Involves benefits: efficiency, adaptability, 
durability of data, innovation, aggregation, 
sshhaarriinngg…… 
We are ready for exploitation!
SSppaanniisshh NNeettwwoorrkk OOff LLeeaarrnniinngg 
AAnnaallyyttiiccss 
 Founded in 2013 
 Network of researchers and developers 
interested on the field 
 CCrreeaattiinngg ssyynneerrggiieess aanndd pprroommoottiinngg rreellaatteedd 
initiatives 
 New members are welcome! 
http://snola.deusto.es 
snola@deusto.es 
@snolaresearch
TThhaannkk yyoouu!! 
Mariluz Guenaga 
mlguenaga@deusto.es 
@mlguenaga
IIMMSS CCaalliippeerr vvss TTiinn CCaann AAPPII 
 Balance between completely 
open mechanisms and rigid 
schema 
 Is more encompassing: 
◦ Takes a learning environment view 
◦ Includes LTI as a important 
 Widely used 
◦ More experience 
 Only defines the statement 
pattern 
 It does not especify verbs 
◦ Advantage: open to a wide range 
component 
◦ Incorporates existing standards 
(LIS, QTI…) 
 Both are interoperable 
◦ Caliper  xAPI 
◦ xAPI  mapping  Caliper 
of users 
◦ Disadv: adopters need to define 
these missing parts

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Fie2014 guenaga etal

  • 1. Ensuring tthhee iinntteeggrriittyy aanndd iinntteerrooppeerraabbiilliittyy ooff eedduuccaattiioonnaall uussaaggee aanndd ssoocciiaall ddaattaa tthhrroouugghh CCaalliippeerr ffffrrrraaaammmmeeeewwwwoooorrrrkkkk ttttoooo ssssuuuuppppppppoooorrrrtttt ccccoooommmmppppeeeetttteeeennnnccccyyyy aasssseessssmmeenntt A. Rayon, Mariluz Guenaga and A. Núñez
  • 2. CCoonntteexxtt 1 • HHiigghheerr EEdduuccaattiioonn 2 • TTeecchhnnoollooggyy-rriicchh eennvviirroonnmmeennttss 3 • CCoommppeetteennccyy-bbaasseedd lleeaarrnniinngg
  • 3. Assessment ooff ccoommppeetteenncciieess Subjective Difficult to scale Hard to find latent skills ICT in education Challenge Usage and social data Great promise to improve learning and assessment Learning Analytics Enriched Rubrics
  • 4. Challenge: ddaattaa iinntteerrooppeerraabbiilliittyy Models and Methods The scope of LA interoperability Data for Analytical It may be useful to define interoperability in levels: • Domain-specific concepts •High-level concepts •Format Results Analysis Q: how can we get data out of the operational system Data takes many forms: • Attributes and actions • Resources and context • Reference data From: “Learning Analytics Interoperability – The Big Picture in Brief”. Adam Cooper, Cetis, University of Bolton, UK. March 2014. @laceproject
  • 5. OOuurr pprrooppoossaall:: SSCCAALLAA upport ompetency ssessment through approach Extensible web-platform Integrates usage and social data to provide enriched rruubbrriiccss ◦ Uses IMS Caliper Measurement Framework Oriented to non-expert users: teachers and students
  • 6. Learning data Context data UDLM: University of Deusto Learning Model University Faculty Curriculum Subject Learning outcomes Method Competency Indicator Rubric … Intelligent data SCALA data integration SCALA Model SCALA Process SCALA DB
  • 7. Learning data Context data University Faculty Curriculum Subject Learning outcomes Method Competency Indicator Rubric … Intelligent data SCALA data integration SCALA Model SCALA Process
  • 8. University of Deusto’s University Faculty Learning Model Teacher Student Learning Event Action Activity Context Learning Context SSCCAALLAA MMooddeell Curriculum Teaching method Subject Syllabus Workload Generic competencies Learning outcomes Indicator Assessment Learning Activities Activity metrics Foundational metrics Engagement Performance Quiz Reading Lecture … IMS Metric Profile
  • 9. SSCCAALLAA DDaattaa IInntteeggrraattiioonn Service bus ◦ Data from the source to SCALA-DB ◦ Extensible data adapters SSCCAALLAA pprroocceessss ◦ Extract-Transform-Load ◦ We use Kettle, Pentaho’s Data Integration Module ◦ In parallel for each data adapter
  • 10. EExxppeerriimmeennttaattiioonn Context ◦ 2013-14 ◦ Engineering Faculty ◦ Entrepreneurship subject ◦ Teamwork competency Learning tools ◦ Moodle, Google Docs, MediaWiki, Youtube, Twitter, Google Forms Result: SCALA integrates heterogeneus data into normalized and exchangeable data interoperable
  • 11. CCoonncclluussiioonnss Data interoperability is a key aspect of LA Involves benefits: efficiency, adaptability, durability of data, innovation, aggregation, sshhaarriinngg…… We are ready for exploitation!
  • 12. SSppaanniisshh NNeettwwoorrkk OOff LLeeaarrnniinngg AAnnaallyyttiiccss Founded in 2013 Network of researchers and developers interested on the field CCrreeaattiinngg ssyynneerrggiieess aanndd pprroommoottiinngg rreellaatteedd initiatives New members are welcome! http://snola.deusto.es snola@deusto.es @snolaresearch
  • 13. TThhaannkk yyoouu!! Mariluz Guenaga mlguenaga@deusto.es @mlguenaga
  • 14. IIMMSS CCaalliippeerr vvss TTiinn CCaann AAPPII Balance between completely open mechanisms and rigid schema Is more encompassing: ◦ Takes a learning environment view ◦ Includes LTI as a important Widely used ◦ More experience Only defines the statement pattern It does not especify verbs ◦ Advantage: open to a wide range component ◦ Incorporates existing standards (LIS, QTI…) Both are interoperable ◦ Caliper xAPI ◦ xAPI mapping Caliper of users ◦ Disadv: adopters need to define these missing parts