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EasySketch: A Sketch-based Educational Interface to Support Children’s Self-regulation and School Readiness

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The Impact of Pen and Touch Technology on Education

Abstract

Fine motor skills and executive attentions play a critical role in determining children’s self-regulation. Self-regulation contributes to children’s school readiness. Fine motor skills and executive attentions can be taught through sketching and writing activities. The growing ubiquity of touch-enabled computing devices can enhance children’s sketching ability via sketch-based playful educational applications. From the applications, children can draw sketches and potentially develop their fine motor skills. Unfortunately, those applications do not analyze the maturity of children’s fine motor skills in order to help parents and teachers understand the strengths and weaknesses of a child’s drawing ability. If an intelligent user interface can determine children’s fine motor skills automatically, teachers and parents can assess children’s fine motor skill ability and help children to improve via practicing drawings with touch-enabled devices or pencil and paper. The improvements can also extend to the children’s self-regulation ability and thus their school readiness. In this paper, we present our sketch-based educational application EasySketch. The application teaches children how to draw digits and characters, classifies the sketcher’s level of fine motor skill automatically, and returns feedback corresponding to that result.

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References

  1. BinaryLabs. (2013). Dexteria jr.—Fine[AQ1] motor skill development for toddlers & preschoolers. https://itunes.apple.com/us/app/dexteria-jr.-fine-motor-skill/id624918435?mt=8.

  2. Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64, 135–168.

    Article  Google Scholar 

  3. Druin, A., Bederson, B., Boltman, A., Miura, A., Knotts-Callahan, D., & Platt, M. (2008). Children as our[AQ2] technology design partners. The Design of Children’s Technology: How we design and why?, pp. 51–72.

    Google Scholar 

  4. Fisher-Price. (2013). Create & learn. https://itunes.apple.com/us/app/create-learn/id587398201?mt=8.

  5. Fonseca, M. J., Pimentel, C., & Jorge, J. A. (2002). Cali: An online scribble recognizer for calligraphic interfaces. Sketch Understanding, Papers from the 2002 AAAI Spring Symposium, pp. 51–58.

    Google Scholar 

  6. Hanna, L., Risden, K., & Alexander, K. (1997). Guidelines for usability testing with children. Interactions, 4(5), 9–14.

    Article  Google Scholar 

  7. Henniger, M. (2010). The importance of motor skills. http://www.education.com/reference/article/importance-motor-skills.

  8. Hse, H., & Newton, A. R. (2004). Sketched symbol recognition using zernike moments. Proceedings of the pattern recognition, 17th International Conference on (ICPR'04) volume 1-volume 01, ICPR '04, IEEE Computer Society, Washington, DC, USA, pp. 367–370.

    Google Scholar 

  9. Kim, H. (2012). Analysis of children’s sketches to improve recognition accuracy in sketch-based applications. Thesis, Texas A&M University.

    Google Scholar 

  10. Kim, H., Taele, P., Valentine, S., McTigue, E., & Hammond, T. (2013). Kimchi: A sketch-based developmental skill classifier to enhance pen-driven educational interfaces for children. Proceeding SBIM \'13 proceedings of the international symposium on sketch-based interfaces and modeling, pp. 33–42.

    Google Scholar 

  11. Kochanska, G., Murray, K., & Coy, K. (2013). Inhibitory control as a contributor to con- science in childhood: From toddler to early school age. Child Development, 68, 263–277.

    Article  Google Scholar 

  12. Liew, J., Chen, Q., & Hughes, J. (2010). Child effortful control, teacher–student relationships, and achievement in academically at-risk children: Additive and interactive effects. Early Childhood Research Quarterly, 25, 51–64.

    Article  Google Scholar 

  13. Liew, J., Johnson, A., Smith, T., & Thoemmes, F. (2011). Parental expressivity, child physiological and behavioral regulation, and[AQ3] child adjustment: Testing a threepath mediation model. Early Education & Development, 549–573.

    Google Scholar 

  14. Liew, J., Johnson, A., Smith, T., & Thoemmes, F. (2012). Effortful control, executive functions, and education: Bringing self-regulatory and social-emotional competencies to the table. Child Development Perspectives, 6, 105–111.

    Article  Google Scholar 

  15. Long, A. C., Jr., Landay, J. A., Rowe, L. A., & Michiels, J. (2000). Visual similarity of pen gestures. Proceedings of the SIGCHI conference on human factors in computing systems, CHI '00, ACM, New York, NY, USA, pp. 360–367.

    Google Scholar 

  16. Murray, K., & Kochanska, G. (2002). Effortful control: Factor structure and relation to externalizing and internalizing behaviors. Journal of Abnormal Child Psychology, 503–514.

    Google Scholar 

  17. Paulson, B., Eoff, B., Wolin, A., Johnston, J., & Hammond, T. (2008). Sketch-based educational games: Drawing kids away from traditional interfaces. Proceedings of the 7th international conference on interaction design and children, ACM, pp. 133–136.

    Google Scholar 

  18. Paulson, B., Rajan, P., Davalos, P., Osuna, R., & Hammond, T. (2008). What!?! no rubine features?: Using geometric-based features to produce normalized confidence values for sketch recognition. VL/HCC workshop: Sketch tools for diagramming Herrsching am Ammersee, pp. 56–63.

    Google Scholar 

  19. Rubine, D. (1991). Specifying gestures by example. Proceeding of the 18th annual conference on Computer graphics and interactive techniques, SIGGRAPH 91, pp. 329–337.

    Google Scholar 

  20. Valentine, S., Field, M., Smith, A., & Hammond, T. (2011). A shape comparison technique for use in sketch-based tutoring systems. 2011 intelligent user interfaces workshop on sketch recognition.

    Google Scholar 

  21. Valentine, S., Vides, F., Lucchese, G., Turner, D., Kim, H., Li, W., Linsey, J., & Hammond, T. (2012). Mechanix: A sketch-based tutoring system for statics courses. The twenty-fourth conference on innovative applications of artificial intelligence.

    Google Scholar 

  22. Vides, F., Taele, P., Kim, H., Ho, J., & Hammond, T. (2012). Intelligent feedback for kids using sketch recognition. ACM SIGCHI 2012 Conference on human factors in computing systems workshop on educational interfaces, software, and technology. ACM.

    Google Scholar 

  23. Woolfolk, A. (2010). Educational psychology: Modular Active Learning Edition, (11th Edition) Prentice Hall.

    Google Scholar 

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Acknowledgements

We thank all our study participants for their time and input. We thank Dr. Jeff Liew, Dr. Erin McTigue,and the members of the Sketch Recognition Lab for their insight. We thank NSF for funding in part through the REU program as well as inspiration from EEC 1129525 and EXP 1441331."

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Correspondence to Hong-hoe Kim .

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Kim, Hh., Valentine, S., Taele, P., Hammond, T. (2015). EasySketch: A Sketch-based Educational Interface to Support Children’s Self-regulation and School Readiness. In: Hammond, T., Valentine, S., Adler, A., Payton, M. (eds) The Impact of Pen and Touch Technology on Education. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-15594-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-15594-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15593-7

  • Online ISBN: 978-3-319-15594-4

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