Integrating Classes from Different Schools Using Intelligent Teacher Support Systems

  • Roberto ArayaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 722)


We present a teacher support system to enable inter-class integration with Cross-Border Public Classes. These are lessons where students from classes in two different countries participate in the same lesson synchronously, while tens or hundreds of other teachers actively observe and record their observations. Later, a panel analyzes the lesson and the teacher reviews the observations. The system presented is a cloud-based teacher support system that allows the teacher to ask open-ended questions, with peer review between students. It also summarizes the students’ answers using automatically generated concept maps, as well as recording and analyzing the teacher’s discourse. Furthermore, the system also receives annotations from the observers. We describe our experience of using this system with Cross-Border Public Classes while teaching a lesson in STEM focusing on energy. The lesson involved two eighth-grade classes from two different countries. We found that Cross-Border Public Classes are an innovative alternative made possible by an Intelligent Teacher Support System.


Intelligent systems Teacher support Concept maps Across-Class integration 



Funding from PIA-CONICYT Basal Funds for Centers of Excellence Project FB0003 is gratefully acknowledged, as is the Fondef D15I10017 grant from CONICYT.


  1. 1.
    Cooke, N., Hilton, M.: Enhancing the Effectiveness of Team Science. National Research Council. National Academies (2015)Google Scholar
  2. 2.
    Araya, R., Aguirre, C., Bahamondez, M., Calfucura, P., Jaure, P.: Social facilitation due to online inter-classrooms tournaments. LNCS, vol. 9891, pp. 16–29 (2016)Google Scholar
  3. 3.
    Eddy, C., Araya, R.: Challenges of cross border lesson study for STEM education on the APEC project. J. Educ. Khon Kaen Univ. 39(4), 40–51 (2016)Google Scholar
  4. 4.
    Reynolds, A., Araya, R.: Building Multimedia Performance Support Systems. McGraw Hill, New York (1995)Google Scholar
  5. 5.
    Wieman, C.: Improving How Universities Teach Science. Harvard, Massachusetts (2017)CrossRefGoogle Scholar
  6. 6.
    Caballero, D., Araya, R., Kronholm, H., Viiri, J., Mansikkaniemi, A., Lehesvuori, S., Virtanen, T., Kurimo, M.: ASR in classroom today: automatic visualization of conceptual network in science classrooms. LNCS, vol. 10474, pp. 541–544 (2017)Google Scholar
  7. 7.
    Araya, R., Plana, F., Dartnell, P., Soto-Andrade, J., Luci, G., Salinas, E., Araya, M.: Estimation of teacher practices based on text transcripts of teacher speech using a support vector machine algorithm. Br. J. Educ. Technol. 43(6), 837–846 (2012)CrossRefGoogle Scholar
  8. 8.
    Araya, R., Aljovin, E.: The effect of teacher questions on elementary school students’ written responses on an online STEM platform. In: Andre T. (ed.) Advances in Human Factors in Training, Education, and Learning Sciences, vol. 596, pp. 372–382. Springer, Cham (2017)Google Scholar
  9. 9.
    Lehesvuori, S., Viiri, J., Rasku-Puttonen, H., Moate, J., Helaakoski, J.: Visualizing communication structures in science classrooms: tracing cumulativity in teacher-led whole class discussions. J. Res. Sci. Teach. 50(8), 912–939 (2013)CrossRefGoogle Scholar
  10. 10.
    Sloman, S., Fernbach, P.: The Knowledge Illusion. Why we Never Think Alone. Riverhead Books, New York (2017)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Centro de Investigación Avanzada en EducaciónUniversidad de ChileSantiagoChile

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