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Semi-Automatic Generation of Quizzes
 and Learning Artifacts from Linked Data
                       (position paper)

Guillermo Álvaro Rey (playence)
Irene Celino (CEFRIEL)
PanosAlexopoulos (iSOCO)
                                               Lyon, 17th April 2012
DanicaDamljanovic (University of Sheffield)   LiLe2012– WWW Conf
Mariana Damova (Ontotext)
Ning Li (Open University)
VladanDevedzic (UniversityofBelgrade)
Intro & Motivation

  • Quiz-based Technology-Enhanced Learning
     • Powerful for both learning and assessment
     • But also time-consuming, expensive

  • Plenty of Linked Open Data available
     • Exploitable in online courseware
     • Suitable for new learning and assessment materials

  • Linked Data limitations (addressed by the approach):
     1. Re-use and Adoption
         • User-friendly layer of learning and assessment artifacts on top
     2. Data Quality
         • Through Games With A Purpose approach

                                                                             2
LDMQ – Linked Data + Quizzes


 Linked Data Movie Quiz

 Cinema questions by
    SPARQLing the Linked
    Movie DataBase



 Ack: @jorgelamb + @numeroteca


http://lamboratory.com/hacks/ldmq/
http://lamboratory.com/2010/08/25/a-linked-data-movie-quiz-the-answers-
   are-out-there-and-so-are-the-questions/
                                                                          3
LDMQ – some examples


                2
                queriesan
                d4 types
                of
                questions
                …




                            4
LDMQLimitations & Beyond
• Questions generated in an ad hoc manner (predefinedSPARQL queries + some JS)
    Templates tooling supporting experts
• Over a single endpoint
    Use several datasets
• No persistence of the questions
    Expose Quizzes as new dataset(s)
• Not leveraging user interactions
   Analyse mistakes and let them “flag”




             https://github.com/lamboratory/Linked-Data-Movie-Quiz               5
Other Linked Data + Quiz approaches

M. Foulonneau. Generating Educational Assessment Items from Linked Open Data: The Case
   of DBpedia. (LiLe2011)




C. Bratsas, D.E. Chrysou, E. Eftychiadou, D. Kontokostas, P. Bamidis and I. Antoniou. Semantic
    Web Game Based Learning: An I18n approach with Greek DBpedia. (LiLe2012)




J. Waitelonis, N. Ludwig, M. Knuth and H. Sack. WhoKnows? - Evaluating
    Linked Data Heuristics with a Quiz that Cleans Up DBpedia.


J. Hees, T. Roth-Berghofer, R. Biedert, B. Adrian and A. Dengel. Better-
    Relations: Detailed Evaluation of a Game to Rate Linked Data Triples.

                                                                                                 6
NL Facts, Q&A, Quizzes


From data, e.g.:
dbp:Napoleondbpr:placeOfDeathdbp:Saint_Helena

    1) Natural Language Facts
       “Napoleon died in Saint Helena”
    2) Question and Answer system
       “Where did Napoleon die?” “Napoleon died in Saint Helena”
    3) Quizzes
       “Q: Where did Napoleon die?
           a) Ajaccio b) Paris c) Saint Helena d) Waterloo”
       Even…
       Improve “Who died in Saint Helena?” by
       … [dbp:Napoleondcterms:subjectcategory:French_emperors]
        “Which French emperor died in Saint Helena?”
                                                                    7
Our Approach

                          Ontologies                           Natural Language Facts
                          Linked Data
  Knowledge
  Generation

                                     Question templates
                                      and specifications                                       Human
   Question
    Shaping                                                                                   creativity

                                                           ?
                          Question            ....               Quizzes
               Q____?    Answering
               A____!

   Question                               Questionnaires                     Learning games
   Creation




                        Human engagement and participation

                                                                                                           8
Thanks!

  guillermo.alvaro@playence.com
           @guillelamb


                         “Napoleon sur son lit de mort” by Horace Vernet (1826)
http://commons.wikimedia.org/wiki/File:Napoleon_sur_son_lit_de_mort_Horace_Vernet_1826.jpg

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Semi-Automatic Generation of Quizzes and Learning Artifacts from Linked Data

  • 1. Semi-Automatic Generation of Quizzes and Learning Artifacts from Linked Data (position paper) Guillermo Álvaro Rey (playence) Irene Celino (CEFRIEL) PanosAlexopoulos (iSOCO) Lyon, 17th April 2012 DanicaDamljanovic (University of Sheffield) LiLe2012– WWW Conf Mariana Damova (Ontotext) Ning Li (Open University) VladanDevedzic (UniversityofBelgrade)
  • 2. Intro & Motivation • Quiz-based Technology-Enhanced Learning • Powerful for both learning and assessment • But also time-consuming, expensive • Plenty of Linked Open Data available • Exploitable in online courseware • Suitable for new learning and assessment materials • Linked Data limitations (addressed by the approach): 1. Re-use and Adoption • User-friendly layer of learning and assessment artifacts on top 2. Data Quality • Through Games With A Purpose approach 2
  • 3. LDMQ – Linked Data + Quizzes Linked Data Movie Quiz Cinema questions by SPARQLing the Linked Movie DataBase Ack: @jorgelamb + @numeroteca http://lamboratory.com/hacks/ldmq/ http://lamboratory.com/2010/08/25/a-linked-data-movie-quiz-the-answers- are-out-there-and-so-are-the-questions/ 3
  • 4. LDMQ – some examples 2 queriesan d4 types of questions … 4
  • 5. LDMQLimitations & Beyond • Questions generated in an ad hoc manner (predefinedSPARQL queries + some JS)  Templates tooling supporting experts • Over a single endpoint  Use several datasets • No persistence of the questions  Expose Quizzes as new dataset(s) • Not leveraging user interactions Analyse mistakes and let them “flag” https://github.com/lamboratory/Linked-Data-Movie-Quiz 5
  • 6. Other Linked Data + Quiz approaches M. Foulonneau. Generating Educational Assessment Items from Linked Open Data: The Case of DBpedia. (LiLe2011) C. Bratsas, D.E. Chrysou, E. Eftychiadou, D. Kontokostas, P. Bamidis and I. Antoniou. Semantic Web Game Based Learning: An I18n approach with Greek DBpedia. (LiLe2012) J. Waitelonis, N. Ludwig, M. Knuth and H. Sack. WhoKnows? - Evaluating Linked Data Heuristics with a Quiz that Cleans Up DBpedia. J. Hees, T. Roth-Berghofer, R. Biedert, B. Adrian and A. Dengel. Better- Relations: Detailed Evaluation of a Game to Rate Linked Data Triples. 6
  • 7. NL Facts, Q&A, Quizzes From data, e.g.: dbp:Napoleondbpr:placeOfDeathdbp:Saint_Helena 1) Natural Language Facts “Napoleon died in Saint Helena” 2) Question and Answer system “Where did Napoleon die?” “Napoleon died in Saint Helena” 3) Quizzes “Q: Where did Napoleon die? a) Ajaccio b) Paris c) Saint Helena d) Waterloo” Even… Improve “Who died in Saint Helena?” by … [dbp:Napoleondcterms:subjectcategory:French_emperors]  “Which French emperor died in Saint Helena?” 7
  • 8. Our Approach Ontologies Natural Language Facts Linked Data Knowledge Generation Question templates and specifications Human Question Shaping creativity ? Question .... Quizzes Q____? Answering A____! Question Questionnaires Learning games Creation Human engagement and participation 8
  • 9. Thanks! guillermo.alvaro@playence.com @guillelamb “Napoleon sur son lit de mort” by Horace Vernet (1826) http://commons.wikimedia.org/wiki/File:Napoleon_sur_son_lit_de_mort_Horace_Vernet_1826.jpg