Educational Question Answering Motivated by Question-Specific Concept Maps

  • Thushari AtapattuEmail author
  • Katrina Falkner
  • Nickolas Falkner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9112)


Question answering (QA) is the automated process of answering general questions submitted by humans in natural language. QA has previously been explored within the educational context to facilitate learning, however the majority of works have focused on text-based answering. As an alternative, this paper proposes an approach to return answers as a concept map, which further encourages meaningful learning and knowledge organisation. Additionally, this paper investigates whether adapting the returned concept map to the specific question context provides further learning benefit. A randomised experiment was conducted with a sample of 59 Computer Science undergraduates, obtaining statistically significant results on learning gain when students are provided with the question-specific concept maps. Further, time spent on studying the concept maps were positively correlated with the learning gain.


Concept mapping Educational question answering NLP 


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  1. 1.
    Katz, B. Annotating the world wide web using natural language. In: Fifth RIAO Conference on Computer Assisted Information Searching on the Internet (1997)Google Scholar
  2. 2.
    Gurevych, I., et al., Educational question answering based on social media content. In: Proceedings of the 2009 conference on Artificial Intelligence in Education, p. 133-140 (2009)Google Scholar
  3. 3.
    Novak, J.D., Canas, A.J.: The Theory underlying Concept maps and How to construct and use them. Florida Institute for Human and Machine Cognition (2006)Google Scholar
  4. 4.
    Dali, L., et al.: Question answering based on semantic graphs. In: Language and Technology Conference, Poznan (2009)Google Scholar
  5. 5.
    Bloom, B., et al., Taxonomy of educational objectives: the classification of educational goals. In: Handbook I: Cognitive Domain, New York, Toronto (1956)Google Scholar
  6. 6.
    Atapattu, T., Falkner, K. Falkner, N.: Acquistion of triples of knowledge from lecture notes: a natural langauge processing approach. In: 7th International Conference on Educational Data Mining, London (2014)Google Scholar
  7. 7.
    Atapattu, T., Falkner, K., Falkner, N.: Evaluation of Concept Importance in Concept Maps Mined from Lecture Notes: Computer vs Human. In 6th International Conference on Computer Supported Education, Barcelona (2014)Google Scholar
  8. 8.
    Graesser, A., Gordon, S., Brainerd, L.: QUEST: A model of question answering. Computers & Mathematics with Applications 23(6–9), 733–745 (1992)zbMATHCrossRefGoogle Scholar
  9. 9.
    Kolomiyets, O., Moens, M.: A survey on question answering technology from an information retrieval perspective. Information Sciences 181(24) (2011)Google Scholar
  10. 10.
    Manning, C., et al.: The stanford CoreNLP natural language processing toolkit. In: 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, Baltimore (2014)Google Scholar
  11. 11.
    Miller, G.A., et al.: Introduction to WordNet: An On-line Lexical Database. International Journal of Lexicography 3(4), 235–244 (1990)CrossRefGoogle Scholar
  12. 12.
    Canas, A.J., et al.: CmapTools: a knowledge modeling and sharing environment. In: First International Conference on Concept Mapping, Pamplona (2004)Google Scholar
  13. 13.
    Gallagher, B.: Matching structure and semantics: A survey on graph-based pattern matching. AAAI FS 6, 45–53 (2006)Google Scholar
  14. 14.
    Kenny, D.A.: Statistics for the Social and Behavioural Sciences (1987)Google Scholar
  15. 15.
    O’Donnell, A.M., et al.: Knowledge Maps as Scaffolds for Cognitive Processing. Educational Psychology Review 14(1), 71–86 (2002)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Thushari Atapattu
    • 1
    Email author
  • Katrina Falkner
    • 1
  • Nickolas Falkner
    • 1
  1. 1.School of Computer ScienceUniversity of AdelaideAdelaideAustralia

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