Skip to main content
SpringerLink
Log in

Automatic Extraction of Prerequisites Among Learning Objects Using Wikipedia-Based Content Analysis

  • Conference paper
  • First Online:
Intelligent Tutoring Systems (ITS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9684))

Included in the following conference series:

Abstract

Identifying the pre-requisite relationships among learning objects is a crucial step for faculty and instructional designers when they try to adapt them for delivery in their general education distance courses. We propose a general-purpose content-based approach for facilitating this step by means of semantic analysis techniques: the learning objects are associated to WikiPedia pages (topics), and their dependency is obtained using the classification of those topics supported by Wikipedia Miner.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Biancalana, C., Gasparetti, F., Micarelli, A., Sansonetti, G.: Social semantic query expansion. ACM Trans. Intell. Syst. Technol. 4(4), 60:1–60:43 (2013)

    Article  Google Scholar 

  2. Gasparetti, F., Limongelli, C., Sciarrone, F.: Exploiting wikipedia for discovering prerequisite relationships among learning objects. In: 2015 International Conference on Information Technology Based Higher Education and Training (ITHET), pp. 1–6, June 2015

    Google Scholar 

  3. Gasparetti, F., Micarelli, A., Sciarrone, F.: A web-based training system for business letter writing. Knowl. Based Syst. 22(4), 287–291 (2009)

    Article  Google Scholar 

  4. Gasparetti, F., Limongelli, C., Sciarrone, F.: A content-based approach for supporting teachers in discovering dependency relationships between instructional units in distance learning environments. In: Stephanidis, C. (ed.) HCII 2015 Posters. CCIS, vol. 529, pp. 241–246. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  5. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: an update. SIGKDD Explor. Newsl. 11(1), 10–18 (2009)

    Article  Google Scholar 

  6. Kohlschütter, C., Fankhauser, P., Nejdl, W.: Boilerplate detection using shallow text features. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining, WSDM 2010, pp. 441–450. ACM, New York (2010)

    Google Scholar 

  7. Leon, F., Aignatoaiei, B., Zaharia, M.: Performance analysis of algorithms for protein structure classification. In: 20th International Workshop on Database and Expert Systems Application, DEXA 2009, pp. 203–207, August 2009

    Google Scholar 

  8. Limongelli, C., Gasparetti, F., Sciarrone, F.: Wiki course builder: a system for retrieving and sequencing didactic materials from wikipedia. In: 2015 International Conference on Information Technology Based Higher Education and Training (ITHET), pp. 1–6, June 2015

    Google Scholar 

  9. Limongelli, C., Lombardi, M., Marani, A., Sciarrone, F., Temperini, M.: Concept maps similarity measures for educational applications. In: Micarelli, A., Stamper, J., Panourgia, K. (eds.) ITS 2016. LNCS, vol. 9684, pp. 361–367. Springer, Heidelberg (2016)

    Google Scholar 

  10. Micarelli, A., Gasparetti, F.: Adaptive focused crawling. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 231–262. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  11. Milne, D., Witten, I.H.: An open-source toolkit for mining wikipedia. Artif. Intell. 194, 222–239 (2013)

    Article  MathSciNet  Google Scholar 

  12. Scheines, R., Silver, E., Goldin, I.: Discovering prerequisite relationships among knowledge components. In: Stamper, J., Pardos, Z., Mavrikis, M., McLaren, B. (eds.) Proceedings of the 7th International Conference on Educational Data Mining, pp. 355–356. ELRA, May 2014

    Google Scholar 

  13. Vuong, A., Nixon, T., Towle, B.: A method for finding prerequisites within a curriculum. In: Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C., J. Stamper, J. (eds.) The 4th International Conference on Educational Data Mining (EDM 2011), pp. 211–216 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Engineering Department, Roma Tre University, Via della Vasca Navale, 79, 00146, Roma, Italy

    Carlo De Medio, Fabio Gasparetti, Carla Limongelli & Filippo  Sciarrone

  2. Department of Computer, Control and Management Engineering, Sapienza University, Via Ariosto, 25, 00184, Roma, Italy

    Carlo De Medio, Filippo  Sciarrone & Marco Temperini

Authors
  1. Carlo De Medio
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fabio Gasparetti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Carla Limongelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Filippo  Sciarrone
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Marco Temperini
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fabio Gasparetti .

Editor information

Editors and Affiliations

  1. Roma Tre University , Rome, Italy

    Alessandro Micarelli

  2. Carnegie Mellon University , Pittsburgh, Pennsylvania, USA

    John Stamper

  3. Neoanalysis Ltd , Athens, Greece

    Kitty Panourgia

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

De Medio, C., Gasparetti, F., Limongelli, C., Sciarrone, F., Temperini, M. (2016). Automatic Extraction of Prerequisites Among Learning Objects Using Wikipedia-Based Content Analysis. In: Micarelli, A., Stamper, J., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science(), vol 9684. Springer, Cham. https://doi.org/10.1007/978-3-319-39583-8_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39583-8_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39582-1

  • Online ISBN: 978-3-319-39583-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation