SlideShare une entreprise Scribd logo
1  sur  25
Generating educational assessment items from Linked Open Data The case of DBpedia Muriel Foulonneau [email_address]
“ To Really Learn, Quit Studying and Take a Test”  (NYT, Jan, 2011) ,[object Object],[object Object],[object Object],[object Object],05/2011 ESWC 2011
Why generating items? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 Presentation Tudor
Assumption on model-based learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 Presentation Tudor
The LoD Cloud as a source of knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 Presentation Tudor
Using LoD for model-based learning 27/05/11 Presentation Tudor Limitations of model-based learning LoD as a source of knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Objectives of the experimentation ,[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 Presentation Tudor
Semi-automatic item generation ,[object Object],[object Object],27/05/11 ESWC 2011 Stem variables options key Auxiliary information
Existing strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 Presentation Tudor
The QTI item generation process 27/05/11 Presentation Tudor
QTI Item template ,[object Object],[object Object],27/05/11 ESWC 2011 <choiceInteraction responseIdentifier=&quot;RESPONSE&quot; shuffle=&quot;false&quot; maxChoices=&quot;1&quot;> <prompt>What is the capital of {prompt}?</prompt> <simpleChoice identifier=&quot;{responseCode1}&quot;>{responseOption1}</simpleChoice> <simpleChoice identifier=&quot;{responseCode2}&quot;>{responseOption2}</simpleChoice> <simpleChoice identifier=&quot;{responseCode3}&quot;>{responseOption3}</simpleChoice> </choiceInteraction>
Get the knowledge from LoD  27/05/11 ESWC 2011 SPARQL query to generate capitals in Europe Never possible to generate an item from a single  triple because of constraint to find appropriate labels Label SELECT ?country ?capital  WHERE { ?c <http://dbpedia.org/property/commonName> ?country .  ?c <http://dbpedia.org/property/capital> ?capital  }  LIMIT 30
Generating item distractors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Item data dictionary 27/05/11 ESWC 2011
Generation of the QTI-XML item 27/05/11 ESWC 2011
Publication on the TAO platform ,[object Object],[object Object],[object Object],[object Object],27/05/11 Presentation Tudor
Different types of questions ,[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Q1:  What is the capital of { Azerbaijan }? ,[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Q2:  Which country is represented by this flag ? ,[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Q3: Who succeeded to {   Charles VII the Victorious } as ruler of France ?   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Q4: What is the capital of {   Argentina }?  With feedback ,[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Q5:  Which category does {   Asthma } belong to? ,[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Data quality challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011 Chance that an item will have a defective distractor =
Data selection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011
Future work ,[object Object],[object Object],[object Object],[object Object],27/05/11 ESWC 2011

Contenu connexe

Tendances

Using Argumentation to Explain Ambiguity in Requirements Elicitation Interviews
Using Argumentation to Explain Ambiguity in Requirements Elicitation InterviewsUsing Argumentation to Explain Ambiguity in Requirements Elicitation Interviews
Using Argumentation to Explain Ambiguity in Requirements Elicitation Interviews
spareuseratlero
 
RES812 U4 Individual Project
RES812  U4 Individual ProjectRES812  U4 Individual Project
RES812 U4 Individual Project
ThienSi Le
 
RES812 U4 Individual Project
RES812  U4 Individual ProjectRES812  U4 Individual Project
RES812 U4 Individual Project
ThienSi Le
 

Tendances (15)

Using Argumentation to Explain Ambiguity in Requirements Elicitation Interviews
Using Argumentation to Explain Ambiguity in Requirements Elicitation InterviewsUsing Argumentation to Explain Ambiguity in Requirements Elicitation Interviews
Using Argumentation to Explain Ambiguity in Requirements Elicitation Interviews
 
ACIS 2015 Bibliographical-based Facets for Expertise Search
ACIS 2015 Bibliographical-based Facets for Expertise SearchACIS 2015 Bibliographical-based Facets for Expertise Search
ACIS 2015 Bibliographical-based Facets for Expertise Search
 
RES812 U4 Individual Project
RES812  U4 Individual ProjectRES812  U4 Individual Project
RES812 U4 Individual Project
 
RES812 U4 Individual Project
RES812  U4 Individual ProjectRES812  U4 Individual Project
RES812 U4 Individual Project
 
Uses of accelerometer sensor and its application in m-Learning environments: ...
Uses of accelerometer sensor and its application in m-Learning environments: ...Uses of accelerometer sensor and its application in m-Learning environments: ...
Uses of accelerometer sensor and its application in m-Learning environments: ...
 
How Two Top Universities are Preparing the Next Generation of Intelligence An...
How Two Top Universities are Preparing the Next Generation of Intelligence An...How Two Top Universities are Preparing the Next Generation of Intelligence An...
How Two Top Universities are Preparing the Next Generation of Intelligence An...
 
Master Beginners' Workshop September 2018
Master Beginners' Workshop September 2018Master Beginners' Workshop September 2018
Master Beginners' Workshop September 2018
 
Anomalies! You can't escape them.
Anomalies! You can't escape them.Anomalies! You can't escape them.
Anomalies! You can't escape them.
 
Understanding the Cuban Blogosphere: Retrospective and Perspectives based on ...
Understanding the Cuban Blogosphere: Retrospective and Perspectives based on ...Understanding the Cuban Blogosphere: Retrospective and Perspectives based on ...
Understanding the Cuban Blogosphere: Retrospective and Perspectives based on ...
 
The Green Lab - [02 B] Experiment scoping
The Green Lab - [02 B] Experiment scopingThe Green Lab - [02 B] Experiment scoping
The Green Lab - [02 B] Experiment scoping
 
presentation 2
presentation 2presentation 2
presentation 2
 
[09-A] Statistical tests and effect size
[09-A] Statistical tests and effect size[09-A] Statistical tests and effect size
[09-A] Statistical tests and effect size
 
The Green Lab - [01 C] Empirical software engineering
The Green Lab - [01 C] Empirical software engineeringThe Green Lab - [01 C] Empirical software engineering
The Green Lab - [01 C] Empirical software engineering
 
RuleML 2015: Ontology Reasoning using Rules in an eHealth Context
RuleML 2015: Ontology Reasoning using Rules in an eHealth ContextRuleML 2015: Ontology Reasoning using Rules in an eHealth Context
RuleML 2015: Ontology Reasoning using Rules in an eHealth Context
 
[07-B] Statistical hypothesis testing
[07-B] Statistical hypothesis testing[07-B] Statistical hypothesis testing
[07-B] Statistical hypothesis testing
 

En vedette

11. Requirements Of An Erp Enterprise Erp Modeller
11. Requirements Of An Erp Enterprise Erp Modeller11. Requirements Of An Erp Enterprise Erp Modeller
11. Requirements Of An Erp Enterprise Erp Modeller
Donovan Mulder
 
User research independent study
User research independent studyUser research independent study
User research independent study
Dr. V Vorvoreanu
 
Use Case Model
Use Case ModelUse Case Model
Use Case Model
Ali Nguyen
 
Writing Effective User Stories
Writing Effective User StoriesWriting Effective User Stories
Writing Effective User Stories
Janeve George
 

En vedette (16)

Personas, scenarios, user stories
Personas, scenarios, user storiesPersonas, scenarios, user stories
Personas, scenarios, user stories
 
11. Requirements Of An Erp Enterprise Erp Modeller
11. Requirements Of An Erp Enterprise Erp Modeller11. Requirements Of An Erp Enterprise Erp Modeller
11. Requirements Of An Erp Enterprise Erp Modeller
 
Einführung in User Stories
Einführung in User StoriesEinführung in User Stories
Einführung in User Stories
 
User research independent study
User research independent studyUser research independent study
User research independent study
 
Use Case Model
Use Case ModelUse Case Model
Use Case Model
 
Writing Effective User Stories
Writing Effective User StoriesWriting Effective User Stories
Writing Effective User Stories
 
Lean and Agile SAP
Lean and Agile SAPLean and Agile SAP
Lean and Agile SAP
 
User Stories
User StoriesUser Stories
User Stories
 
Personas, scenarios, user stories
Personas, scenarios, user storiesPersonas, scenarios, user stories
Personas, scenarios, user stories
 
User Story Mapping, UX Lisbon, June 2015
User Story Mapping, UX Lisbon, June 2015User Story Mapping, UX Lisbon, June 2015
User Story Mapping, UX Lisbon, June 2015
 
From Use case to User Story
From Use case to User StoryFrom Use case to User Story
From Use case to User Story
 
Lecture 2: Human-Computer Interaction: Conceptual Design (2014)
Lecture 2: Human-Computer Interaction: Conceptual Design (2014)Lecture 2: Human-Computer Interaction: Conceptual Design (2014)
Lecture 2: Human-Computer Interaction: Conceptual Design (2014)
 
Agile and user story workshop Peter Saddington
Agile and user story workshop   Peter SaddingtonAgile and user story workshop   Peter Saddington
Agile and user story workshop Peter Saddington
 
User Story Mapping Workshop (Design Skills 2016)
User Story Mapping Workshop (Design Skills 2016)User Story Mapping Workshop (Design Skills 2016)
User Story Mapping Workshop (Design Skills 2016)
 
Agile Scrum - Crafting user stories
Agile Scrum - Crafting user storiesAgile Scrum - Crafting user stories
Agile Scrum - Crafting user stories
 
Writing Effective User Stories
Writing Effective User StoriesWriting Effective User Stories
Writing Effective User Stories
 

Similaire à Generating educational assessment items from Linked Open Data

M-Assessment_D-NDave
M-Assessment_D-NDaveM-Assessment_D-NDave
M-Assessment_D-NDave
David Sugden
 
MLUC 2011 XQuery Enigma
MLUC 2011 XQuery EnigmaMLUC 2011 XQuery Enigma
MLUC 2011 XQuery Enigma
Peter O'Kelly
 
formative e-assessment: a scoping study
formative e-assessment: a scoping studyformative e-assessment: a scoping study
formative e-assessment: a scoping study
Yishay Mor
 
5252020 Rubric Detail – 31228.202030httpsucumberlands.docx
5252020 Rubric Detail – 31228.202030httpsucumberlands.docx5252020 Rubric Detail – 31228.202030httpsucumberlands.docx
5252020 Rubric Detail – 31228.202030httpsucumberlands.docx
fredharris32
 
ISWC2023-McGuinnessTWC16x9FinalShort.pdf
ISWC2023-McGuinnessTWC16x9FinalShort.pdfISWC2023-McGuinnessTWC16x9FinalShort.pdf
ISWC2023-McGuinnessTWC16x9FinalShort.pdf
Deborah McGuinness
 

Similaire à Generating educational assessment items from Linked Open Data (20)

m-Assessment_Brum_DaveNDanny
m-Assessment_Brum_DaveNDannym-Assessment_Brum_DaveNDanny
m-Assessment_Brum_DaveNDanny
 
M-Assessment_D-NDave
M-Assessment_D-NDaveM-Assessment_D-NDave
M-Assessment_D-NDave
 
Textbooks for Responsible Data Analysis in Excel
Textbooks for Responsible Data Analysis in ExcelTextbooks for Responsible Data Analysis in Excel
Textbooks for Responsible Data Analysis in Excel
 
FLEAT VI - Harvard University - Piet Desmet & Bert Wylin
FLEAT VI - Harvard University - Piet Desmet & Bert WylinFLEAT VI - Harvard University - Piet Desmet & Bert Wylin
FLEAT VI - Harvard University - Piet Desmet & Bert Wylin
 
Prospect for learning analytics to achieve adaptive learning model
Prospect for learning analytics to achieve adaptive learning modelProspect for learning analytics to achieve adaptive learning model
Prospect for learning analytics to achieve adaptive learning model
 
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
Investigating the Pedagogical Push and Technological Pull of Computer Assiste...
 
Horizion Report
Horizion ReportHorizion Report
Horizion Report
 
MLUC 2011 XQuery Enigma
MLUC 2011 XQuery EnigmaMLUC 2011 XQuery Enigma
MLUC 2011 XQuery Enigma
 
formative e-assessment: a scoping study
formative e-assessment: a scoping studyformative e-assessment: a scoping study
formative e-assessment: a scoping study
 
Research Writing Methodology
Research Writing MethodologyResearch Writing Methodology
Research Writing Methodology
 
Recommenders, Topics, and Text
Recommenders, Topics, and TextRecommenders, Topics, and Text
Recommenders, Topics, and Text
 
Metadata for Assessment resources
Metadata for Assessment resourcesMetadata for Assessment resources
Metadata for Assessment resources
 
MOOC Dropout Prediction Using Machine Learning Techniques: Review and Researc...
MOOC Dropout Prediction Using Machine Learning Techniques: Review and Researc...MOOC Dropout Prediction Using Machine Learning Techniques: Review and Researc...
MOOC Dropout Prediction Using Machine Learning Techniques: Review and Researc...
 
5252020 Rubric Detail – 31228.202030httpsucumberlands.docx
5252020 Rubric Detail – 31228.202030httpsucumberlands.docx5252020 Rubric Detail – 31228.202030httpsucumberlands.docx
5252020 Rubric Detail – 31228.202030httpsucumberlands.docx
 
Helping Students to Learn Matehmatics Beyond LMS
Helping Students to Learn Matehmatics Beyond LMSHelping Students to Learn Matehmatics Beyond LMS
Helping Students to Learn Matehmatics Beyond LMS
 
Nbe rtopicsandrecomvlecture1
Nbe rtopicsandrecomvlecture1Nbe rtopicsandrecomvlecture1
Nbe rtopicsandrecomvlecture1
 
ISWC2023-McGuinnessTWC16x9FinalShort.pdf
ISWC2023-McGuinnessTWC16x9FinalShort.pdfISWC2023-McGuinnessTWC16x9FinalShort.pdf
ISWC2023-McGuinnessTWC16x9FinalShort.pdf
 
Jisc RSC Eastern Technical Managers forum Feb 2013 'Jisc CETIS, Wilbert Kraan'
Jisc RSC Eastern Technical Managers forum Feb 2013 'Jisc CETIS, Wilbert Kraan'Jisc RSC Eastern Technical Managers forum Feb 2013 'Jisc CETIS, Wilbert Kraan'
Jisc RSC Eastern Technical Managers forum Feb 2013 'Jisc CETIS, Wilbert Kraan'
 
Challenges for PLE research and development
Challenges for PLE research and developmentChallenges for PLE research and development
Challenges for PLE research and development
 
Social Tags and Linked Data for Ontology Development: A Case Study in the Fin...
Social Tags and Linked Data for Ontology Development: A Case Study in the Fin...Social Tags and Linked Data for Ontology Development: A Case Study in the Fin...
Social Tags and Linked Data for Ontology Development: A Case Study in the Fin...
 

Plus de chessmu

Le Web de données - nouvelles pratiques de publication et nouveaux services?
Le Web de données - nouvelles pratiques de publication et nouveaux services? Le Web de données - nouvelles pratiques de publication et nouveaux services?
Le Web de données - nouvelles pratiques de publication et nouveaux services?
chessmu
 
Mtsr foulonneau-14102011
Mtsr foulonneau-14102011Mtsr foulonneau-14102011
Mtsr foulonneau-14102011
chessmu
 
Modélisation, environnements sémantiques et Web de données
Modélisation, environnements sémantiques et Web de donnéesModélisation, environnements sémantiques et Web de données
Modélisation, environnements sémantiques et Web de données
chessmu
 
Tentative de conclusion Journées Fredoc 2009 OAI-PMH
Tentative de conclusion Journées Fredoc 2009 OAI-PMHTentative de conclusion Journées Fredoc 2009 OAI-PMH
Tentative de conclusion Journées Fredoc 2009 OAI-PMH
chessmu
 

Plus de chessmu (14)

Le Web de données - nouvelles pratiques de publication et nouveaux services?
Le Web de données - nouvelles pratiques de publication et nouveaux services? Le Web de données - nouvelles pratiques de publication et nouveaux services?
Le Web de données - nouvelles pratiques de publication et nouveaux services?
 
Smart semantic content for the Future Internet
Smart semantic content for the Future InternetSmart semantic content for the Future Internet
Smart semantic content for the Future Internet
 
Mtsr foulonneau-14102011
Mtsr foulonneau-14102011Mtsr foulonneau-14102011
Mtsr foulonneau-14102011
 
Modélisation, environnements sémantiques et Web de données
Modélisation, environnements sémantiques et Web de donnéesModélisation, environnements sémantiques et Web de données
Modélisation, environnements sémantiques et Web de données
 
Modélisation, environnements sémantiques et Web de données
Modélisation, environnements sémantiques et Web de donnéesModélisation, environnements sémantiques et Web de données
Modélisation, environnements sémantiques et Web de données
 
Tentative de conclusion Journées Fredoc 2009 OAI-PMH
Tentative de conclusion Journées Fredoc 2009 OAI-PMHTentative de conclusion Journées Fredoc 2009 OAI-PMH
Tentative de conclusion Journées Fredoc 2009 OAI-PMH
 
Open Archives Initiative Protocol for Metadata Harvesting
Open Archives Initiative Protocol for Metadata HarvestingOpen Archives Initiative Protocol for Metadata Harvesting
Open Archives Initiative Protocol for Metadata Harvesting
 
Dublin Core et partage de métadonnées - Faire interagir les objets numériques
Dublin Core et partage de métadonnées - Faire interagir les objets numériquesDublin Core et partage de métadonnées - Faire interagir les objets numériques
Dublin Core et partage de métadonnées - Faire interagir les objets numériques
 
Dublin Core Metadata Initiative - Exemples d'applications
Dublin Core Metadata Initiative - Exemples d'applications Dublin Core Metadata Initiative - Exemples d'applications
Dublin Core Metadata Initiative - Exemples d'applications
 
Infrastructures de recherche - Meta-Portails
Infrastructures de recherche - Meta-PortailsInfrastructures de recherche - Meta-Portails
Infrastructures de recherche - Meta-Portails
 
Archives ouvertes - Perspectives Europeennes
Archives ouvertes - Perspectives EuropeennesArchives ouvertes - Perspectives Europeennes
Archives ouvertes - Perspectives Europeennes
 
Virtual Collections for researchers
Virtual Collections for researchersVirtual Collections for researchers
Virtual Collections for researchers
 
Dublin Core Collection Application Profile - task group
Dublin Core Collection Application Profile - task groupDublin Core Collection Application Profile - task group
Dublin Core Collection Application Profile - task group
 
Stratégie de partage des ressources
Stratégie de partage des ressources  Stratégie de partage des ressources
Stratégie de partage des ressources
 

Dernier

1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
QucHHunhnh
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
kauryashika82
 

Dernier (20)

1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..Sports & Fitness Value Added Course FY..
Sports & Fitness Value Added Course FY..
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 

Generating educational assessment items from Linked Open Data

  • 1. Generating educational assessment items from Linked Open Data The case of DBpedia Muriel Foulonneau [email_address]
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. The QTI item generation process 27/05/11 Presentation Tudor
  • 11.
  • 12. Get the knowledge from LoD 27/05/11 ESWC 2011 SPARQL query to generate capitals in Europe Never possible to generate an item from a single triple because of constraint to find appropriate labels Label SELECT ?country ?capital WHERE { ?c <http://dbpedia.org/property/commonName> ?country . ?c <http://dbpedia.org/property/capital> ?capital } LIMIT 30
  • 13.
  • 14. Item data dictionary 27/05/11 ESWC 2011
  • 15. Generation of the QTI-XML item 27/05/11 ESWC 2011
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.