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Ontology Development for Competence Assessment in Virtual Communities of Practice

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Artificial Intelligence in Education (AIED 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10948))

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Abstract

This paper presents an ontological model for defining competency paths in STEM education, designed for the implementation of an adaptive system integrated in virtual communities. The model is applied for clustering materials for automatic assessment and the results are discussed.

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References

  1. Ellerani, F., Parricchi, M.: Ambienti per lo sviluppo professionale degli insegnanti. Web 2.0, gruppo, comunità di apprendimento (2010)

    Google Scholar 

  2. Demartini, C., Marchisio, M., Pardini, C.: PP&S100 - una comunità di comunità di collaborative learning attraverso le nuove tecnologie. Atti Didamatica Pisa 2013, pp. 989–998 (2013)

    Google Scholar 

  3. Barana, A., Fioravera, M., Marchisio, M.: Developing problem solving competences through the resolution of contextualized problems with an Advanced Computing Environment. In: Proceedings of the 3rd International Conference on Higher Education Advances (HEAd 2017), Valencia, pp. 1015–1023 (2017)

    Google Scholar 

  4. Brancaccio, A., Esposito, M., Marchisio, M., Pardini, C.: L’efficacia dell’apprendimento in rete degli immigrati digitali. L’esperienza SMART per le discipline scientifiche. Mondo Digitale 15, 803–821 (2016). ISSN 1720-898X

    Google Scholar 

  5. Brancaccio, A., Marchisio, M., Meneghini, C., Pardini, C.: Matematica e scienze più smart per l’insegnamento e l’apprendimento. Mondo Digitale XIV(58), 1–8 (2015)

    Google Scholar 

  6. Barana, A., Marchisio, M.: Ten good reasons to adopt an automated formative assessment model for learning and teaching Mathematics and scientific disciplines. Procedia: Soc. Behav. Sci. 228, 608–613 (2016). https://doi.org/10.2016/j.sbspro.2016.07.093

    Article  Google Scholar 

  7. Nevzorova, O.A., Zhiltsov, N., Kirillovich, A., Lipachev, E.: OntoMathPRO Ontology: a linked data hub for mathematics. In: Klinov, P., Mouromtsev, D. (eds.) KESW 2014. CCIS, vol. 468, pp. 105–119. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11716-4_9

    Chapter  MATH  Google Scholar 

  8. Anderson, L.W., Krathwohl, D.R., et al.: A Taxonomy for Learning, Teaching, and Assessing. A Revision of Bloom’s Taxonomy of Educational Objectives. Addison Wesley Longman, New York (2001)

    Google Scholar 

  9. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: machine learning in python. JMLR 12, 2825–2830 (2011)

    MathSciNet  MATH  Google Scholar 

  10. Rosenberg, A., Hirschberg, J.: V-measure: a conditional entropy-based external cluster evaluation measure. In: Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp. 410–420 (2007)

    Google Scholar 

  11. Řehůřek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: Proceedings of LREC 2010 Workshop New Challenges for NLP Frameworks, pp. 46–50. University of Malta, Valletta (2010)

    Google Scholar 

  12. Bird, S., Edward, L., Ewan, K.: Natural Language Processing with Python. O’Reilly Media Inc., Sebastopol (2009)

    MATH  Google Scholar 

  13. Jones, E., Oliphant, E., Peterson, P., et al.: SciPy: Open Source Scientific Tools for Python (2001). http://www.scipy.org/. Accessed 29 Jan 2018

  14. Barana, A., Marchisio, M., Rabellino, S.: Automated assessment in mathematics. In: IEEE 39th Annual Computer Software and Applications Conference (COMPSAC), pp. 670–671 (2015). https://doi.org/10.1109/compsac.2015.105

  15. Brancaccio, A., Demartini, C., Marchisio, M., Palumbo, C., Pardini, C., Patrucco, A., Zich, R.: Problem posing and solving: strategic Italian key action to enhance teaching and learning of mathematics and informatics in high school. In: IEEE 39th Annual Computer Software and Applications Conference (COMPSAC), pp. 845–850 (2015). https://doi.org/10.1109/compsac.2015.126

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Author information

Authors and Affiliations

  1. Department of Mathematics, University of Turin, Turin, TO, Italy

    Alice Barana, Michele Fioravera & Marina Marchisio

  2. Department of Computer Science, University of Turin, Turin, TO, Italy

    Luigi Di Caro & Sergio Rabellino

Authors
  1. Alice Barana
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  2. Luigi Di Caro
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  3. Michele Fioravera
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  4. Marina Marchisio
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  5. Sergio Rabellino
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Corresponding authors

Correspondence to Alice Barana , Luigi Di Caro , Michele Fioravera , Marina Marchisio or Sergio Rabellino .

Editor information

Editors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Carolyn Penstein Rosé

  2. University of Technology, Sydney, NSW, Australia

    Roberto Martínez-Maldonado

  3. University of Duisburg-Essen , Duisburg, Germany

    H. Ulrich Hoppe

  4. UCL Institute of Education, London, UK

    Rose Luckin

  5. UCL Institute of Education, London, UK

    Manolis Mavrikis

  6. UCL Institute of Education, London, UK

    Kaska Porayska-Pomsta

  7. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  8. University of Sussex, Brighton, UK

    Benedict du Boulay

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Barana, A., Di Caro, L., Fioravera, M., Marchisio, M., Rabellino, S. (2018). Ontology Development for Competence Assessment in Virtual Communities of Practice. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10948. Springer, Cham. https://doi.org/10.1007/978-3-319-93846-2_18

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  • DOI: https://doi.org/10.1007/978-3-319-93846-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93845-5

  • Online ISBN: 978-3-319-93846-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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