Skip to main content
SpringerLink
Log in
Book cover

International Conference on Artificial Intelligence in Education

AIED 2019: Artificial Intelligence in Education pp 94–99Cite as

Towards Adaptive Worked-Out Examples in an Intelligent Tutoring System

  • Conference paper
  • First Online:

  • 3087 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

Abstract

Worked-out examples (WOEs) have been shown to be effective for learning, but they need to be adapted to student characteristics. We experimented with three versions of our Intelligent Tutoring System for Computer Science, one that does not include WOEs, and two that differ as concerns WOE length and content. We found that shorter WOEs are more effective for advanced students, whereas novice students learned the same, no matter the presence or length of the WOE.

This is a preview of subscription content, 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   69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   89.99
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

Learn about institutional subscriptions

References

  1. Chen, X., Mitrovic, A., Matthews, M.: Learning from worked examples, erroneous examples and problem solving: towards adaptive selection of learning activities. IEEE Transact. Learn. Technol. (2019). https://doi.org/10.1109/TLT.2019.2896080

  2. Di Eugenio, B., Chen, L., Green, N., Fossati, D., AlZoubi, O.: Worked out examples in computer science tutoring. In: 16th International Conference on Artificial Intelligence in Education. Memphis, TN, short paper, July 2013

    Google Scholar 

  3. Fossati, D., Di Eugenio, B., Ohlsson, S., Brown, C., Chen, L.: Data driven automatic feedback generation in the iList intelligent tutoring system. Technol. Instr. Cogn. Learn. (TICL) Spec. Issue Role Data Instr. Processes 10(1), 5–26 (2015)

    Google Scholar 

  4. Green, N.: Example Based Pedagogical Strategies in a Computer Science Intelligent Tutoring System. Ph.D. thesis, University of Illinois at Chicago (2017)

    Google Scholar 

  5. Green, N., Di Eugenio, B., Harsley, R., Fossati, D., AlZoubi, O.: Behavior and learning of students using worked-out examples in a tutoring system. In: Micarelli, A., Stamper, J., Panourgia, K. (eds.) ITS 2016. LNCS, vol. 9684, pp. 389–395. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39583-8_46

    Chapter  Google Scholar 

  6. Green, N., Di Eugenio, B., Harsley, R., Fossati, D., AlZoubi, O., Alizadeh, M.: Student behavior with worked-out examples in a computer science intelligent tutoring system. In: International Conference on Educational Technologies. Florianopolis, Santa Catarina, Brazil, November 2015

    Google Scholar 

  7. Liu, Z., Mostafavi, B., Barnes, T.: Combining worked examples and problem solving in a data-driven logic tutor. In: Micarelli, A., Stamper, J., Panourgia, K. (eds.) ITS 2016. LNCS, vol. 9684, pp. 347–353. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39583-8_40

    Chapter  Google Scholar 

  8. McLaren, B.M., van Gog, T., Ganoe, C., Karabinos, M., Yaron, D.: The efficiency of worked examples compared to erroneous examples, tutored problem solving, and problem solving in computer-based learning environments. Comput. Hum. Behav. 55, 87–99 (2016)

    Article  Google Scholar 

  9. McLaren, B.M., Lim, S.-J., Koedinger, K.R.: When is assistance helpful to learning? Results in combining worked examples and intelligent tutoring. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 677–680. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69132-7_75

    Chapter  Google Scholar 

  10. Mostafavi, B., Zhou, G., Lynch, C., Chi, M., Barnes, T.: Data-driven worked examples improve retention and completion in a logic tutor. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M.F. (eds.) AIED 2015. LNCS (LNAI), vol. 9112, pp. 726–729. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19773-9_102

    Chapter  Google Scholar 

  11. Renkl, A.: The worked-out-example principle in multimedia learning. The Cambridge Handbook of Multimedia Learning, pp. 229–245 (2005)

    Google Scholar 

  12. Sweller, J., Cooper, G.A.: The use of worked examples as a substitute for problem solving in learning algebra. Cogn. Instr. 2(1), 59–89 (1985)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Illinois at Chicago, Chicago, IL, 60607, USA

    Nicholas Green & Barbara Di Eugenio

  2. Emory University, Atlanta, GA, 30322, USA

    Davide Fossati

Authors
  1. Nicholas Green
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Barbara Di Eugenio
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Davide Fossati
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Barbara Di Eugenio .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, Sao Paulo, Brazil

    Seiji Isotani

  2. University of Malaga, Málaga, Spain

    Eva Millán

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Amy Ogan

  4. DePaul University, Chicago, IL, USA

    Peter Hastings

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  6. University College London, London, UK

    Rose Luckin

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Green, N., Di Eugenio, B., Fossati, D. (2019). Towards Adaptive Worked-Out Examples in an Intelligent Tutoring System. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-23207-8_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation