Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System

  • Nick Green
  • Barbara Di Eugenio
  • Rachel Harsley
  • Davide Fossati
  • Omar AlZoubi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9684)


Worked-out examples have been shown to increase learning gains over problem solving alone. These increases are even greater in novices and those who are learning algorithmic topics, such as those in Computer Science. We have integrated this strategy into our Intelligent Tutoring System and evaluated it on undergraduate students learning the linked list data structure. Although promising, we have identified behavioral differences between high and low gainers - spending less time on an example, and prematurely quitting them led to greater learning.


Intelligent Tutoring Systems Worked-out examples 



This publication was made possible by NPRP grant 5-939-1-155 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.


  1. 1.
    Di Eugenio, B., Chen, L., Green, N., Fossati, D., AlZoubi, O.: Worked out examples in computer science tutoring. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS, vol. 7926, pp. 852–855. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  2. 2.
    Di Eugenio, B., Green, N., AlZoubi, O., Alizadeh, M., Harsley, R., Fossati, D.: Worked-out example in a computer science intelligent tutoring system. In: 16th Annual Conference on Information Technology Education. Chicago, IL., October 2015Google Scholar
  3. 3.
    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 2015Google Scholar
  4. 4.
    Jeffries, S., Everatt, J.: Working memory: its role in dyslexia and other specific learning difficulties. Dyslexia 10(3), 196–214 (2004)CrossRefGoogle Scholar
  5. 5.
    Kalyuga, S., Ayres, P., Chandler, P., Sweller, J.: The expertise reversal effect. Educ. Psychol. 38(1), 23–31 (2003)CrossRefGoogle Scholar
  6. 6.
    McLaren, B.M., van Gog, T., Ganoe, C., Yaron, D., Karabinos, M.: Worked examples are more efficient for learning than high-assistance instructional software. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M.F. (eds.) AIED 2015. LNCS, vol. 9112, pp. 710–713. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  7. 7.
    Miller, G.: The magical number seven, plus or minus two. Psychol. Rev. 63, 81–97 (1956)CrossRefGoogle Scholar
  8. 8.
    Sweller, J., Cooper, G.A.: The use of worked examples as a substitute for problem solving in learning algebra. Cogn. Instruction 2(1), 59–89 (1985)CrossRefGoogle Scholar
  9. 9.
    Van Gerven, P.W.M., Paas, F., Van Merrinboer, J.J.G., Schmidt, H.G.: Cognitive load theory and aging: effects of worked examples on training effciency. Learn. Instruction 12(1), 87–105 (2002)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Nick Green
    • 1
  • Barbara Di Eugenio
    • 1
  • Rachel Harsley
    • 1
  • Davide Fossati
    • 2
  • Omar AlZoubi
    • 3
  1. 1.Computer ScienceUniversity of Illinois at ChicagoChicagoUSA
  2. 2.Computer ScienceEmory UniversityAtlantaUSA
  3. 3.Computer ScienceCarnegie Mellon University in QatarDohaQatar

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