Mining Interaction Patterns of Children with and without Communication Disorders in the use of Tablets Apps

  1. Francisco Ortin 1
  2. Juan Ramón Pérez-Pérez 1
  3. David Cabielles-Hernández 1
  4. Miguel Sánchez-Santillán 1
  5. MPuerto Paule-Ruiz 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Konferenzberichte:
Central European Conference on Information and Intelligent Systems: proceedings
  1. Neven Vrček (ed. lit.)
  2. Lourdes Guàrdia (ed. lit.)
  3. Petra Grd (ed. lit.)

Verlag: Faculty of Organization and Informatics, University of Zagreb

ISSN: 1847-2001 1848-2295

Datum der Publikation: 2022

Seiten: 223-240

Kongress: Central European Conference on Information and Intelligent Systems (CECIIS), 33rd International Conference, September 21st - 23rd, 2022, Dubrovnik, Croatia

Art: Konferenz-Beitrag

Zusammenfassung

A communication disorder (CD) is an impairment in the ability to receive, send, process, and comprehend concepts or verbal, nonverbal, and graphic symbol systems. Different research works pursue the early detection of communication disorders, because its treatment at early ages shows significant benefits. In a previous study, we developed two applications for tablet devices that help children in the process of learning the sounds and writing of letters and words. Using the Montessori educational method, our applications showed important benefits, for both children with and without communication disorders, in the learning process of letters, words, and their corresponding sounds. In this article, we use the interaction information produced by our applications in the learning sessions. The purpose of our research is to see if there exist particular interaction patterns of children with and without communication disorders, for the two given applications. We use different data mining techniques and algorithms to process the interaction data generated by 353 children through at least nine sessions. There exist statistically significant differences in 7 of the 36 interaction variables measured. For some sessions of both applications, children with CD made more mistakes than those without CD. The only significant interaction pattern retrieved from the data is that the children with the 12% lowest number of taps over letters (3 taps at most) have CD, fulfilled by 28.1% of the children with CD that used one of our applications. This group of children might be representing children with receptive language disorders.

Informationen zur Finanzierung

This work has been partially funded by the Department of Science, Innovation and Universities: project RTI2018- 099235-B-I00. We have also received funds from the Principality of Asturias, through its Science, Technology and Innovation Plan (FC-GRUPINIDI/2018/000199) and University of Oviedo (GR2011-0040). We thank the teachers and caregivers of the educational institutions for their support.

Geldgeber

Bibliographische Referenzen

  • Berkhin, P. (2006). A Survey of Clustering Data Mining Techniques, In Grouping Multidimensional Data, Springer, Berlin, 25–71.
  • Bondy, A.S., & Frost, L.A. (1998). The picture exchange communication system. Seminars in Speech and Language, 19(4), 373–389.
  • Cabielles, D. (2021). Mobile device interaction and intervention for users with autism spectrum disorder and communication disorder. PhD thesis, Computer Science Department, University of Oviedo.
  • Cohen, W. W. (1995). Fast Effective Rule Induction. Machine Learning, In Proceedings of the 12th International Conference on Machine Learning, ICML’95, 115–123.
  • Collins, J. W. (2011). The greenwood dictionary of education. Greenwood, ISBN 978-0-313-37930-7.
  • Di Fuccio, R., Siano, G., & De Marco, A. (2017). TriPOD: a prototypal system for the recognition of capacitive widget on touchscreen addressed for Montessori-like educational applications. In Recent Advances in Information Systems and Technologies, 2, 664–676.
  • Drigas, A., & Gkeka, E. G. (2017). ICTs and Montessori for Learning Disabilities. International Journal of Recent Contributions from Engineering, Science & IT, 5(3), 77–84.
  • Douglas, N, Brush, J., & Bourgeois, M. (2018). Person-Centered, Skilled Services Using a Montessori Approach for Persons with Dementia. Seminars in Speech and Language, 39(03), 223-230.
  • DSM-5. (2014). Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association Publishing, 5th edition.
  • Frutos, M., Bustos, I., Zapirain, B. G., & Zorrilla, A. M. (2011) Computer game to learn and enhance speech problems for children with autism. In 16th International Conference on Computer Games, CGAMES’11, 209–216.
  • Fürnkranz, J., & Widmer, W. (1994). Incremental Reduced Error Pruning. In Proceedings of the International Conference on Machine Learning, ICML’94.
  • Han, J., Kamber, M., & Pei, J. (2012). Data Mining: Concepts and Techniques. Oxford, England: Morgan Kaufmann.
  • Herman, A. M., & Abraham, K. G. (2000). Occupational Outlook Handbook. US Department of Labor, Bureau of Labor Statistics, bulletin 2520.
  • Jones, M. R. (2016). Implementing Technology in the Primary Montessori Classroom. MSc thesis, St. Catherine University.
  • Liu, F.T., Ting, K.M., & Zhou, Z.H. (2008) Isolation forest. In Eighth IEEE International Conference on Data Mining, ICDM’08, 413–422.
  • McKenzie, S., Spence, A., & Nicholas, M. (2018). Going on Safari: The Design and Development of an Early Years Literacy iPad Application to Support Letter-Sound Learning. Electronic Journal of e-Learning, 16(1), 16–29.
  • Montessori, M. (2021) The Montessori method. Mint editions.
  • Paul R. (2016). Language disorders from infancy through adolescence: assessment & intervention. Elsevier Health Sciences.
  • Pérez-Pérez, J. R., Cabielles-Hernández, D., SánchezSantillán, M., & Paule-Ruiz, M. P. (2021). Interaction of children with and without communication disorders using Montessori activities for the tablet. Personal and Ubiquitous Computing, 25, 495–507.
  • Pickering, J. (2017). Montessori for Children with Learning Differences. Montessori Life.
  • Ruben, R. J. (2000). Redefining the Survival of the Fittest: Communication Disorders in the 21st Century. The Laryngoscope, 110(2), 241–245.
  • Smith, J. (2012). iLit: Using iPads for Multi-sensory Literacy Development Intervention. In Abydos Teachers’ and Trainers’ Conference.
  • Toki, E. I., & Pange, J. (2006). A Comparative Study of Two Learning Methods: Collaborative Learning versus Nearest Neighbor Learning. In EProceedings of the 4th International Conference on Education and Information Systems, Technologies and Applications, EIST’06.
  • Toki, E. I., & Pange, J. (2010) E-learning activities for articulation in speech language therapy and learning for preschool children. Procedia Social and Behavioral Sciences, 2, 4274–4278.
  • Wetherby, A., & Prizant, B. (2002). Communication and Symbolic Behavior Scales Developmental Profile–First Normed Edition. Brookes Publishing Co.
  • Wetherby, A. M., Goldstein, H., Cleary, J., Allen, L., & Kublin, K. (2003). Early Identification of Children with Communication Disorders. Concurrent and Predictive Validity of the CSBS Developmental Profile. Infants & Young Children, 16(2), 161–174.