• DocumentCode
    2870144
  • Title

    Applying Observational Learning in the Cloud Education System of Art Education in an Elementary School

  • Author

    Liao, Wen-Wei ; Ho, Rong-Guey

  • Author_Institution
    Grad. Inst. of Inf. & Comput. Educ., Nat. Taiwan Normal Univ., Taipei, Taiwan
  • fYear
    2011
  • fDate
    6-8 July 2011
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    This study tried to apply observational learning of social learning theory in the curriculum of art education in an elementary school. Art creation skills are complicated and difficult to memorize, and thus this study expected to utilize computer to assist in the instruction. In order to solve the problems such as long creation process, massive information, complicated computing, and the difficulty to learn from others\´ works, this study developed a cloud education system to assist instruction. This course was taught on two groups by two teachers. The group using the cloud education system was the on-line observational learning group, and the other group was the general observational learning group. For students\´ evaluation, this study used "Measurement of Children\´s Painting Expression Ability" to be the evaluation instrument, higher score represents stronger painting performance ability, and vice versa. 61 pieces of work collected by the researcher were analyzed and scored by two teachers, and a statistical analysis was conducted based on the results. Image expression ability, color expression ability, space expression ability, and aesthetic expression ability were all significantly different between the two groups, that is, the scores of the on-line observational learning group were better than those of the general observational group. But there was no significant difference in completeness expression ability, showing that these two groups were equal in this ability. Besides, after the instruction was finished, this study used a questionnaire to survey students and conducted a teacher interview on their satisfaction with the system. The results showed that students were highly satisfied with the functions of high-speed computing, repeated play, fine work quotation, work observation and learning of this system, and teachers had a high evaluation about using this system to teach.
  • Keywords
    art; behavioural sciences computing; cloud computing; educational computing; social aspects of automation; aesthetic expression ability; art education; children painting expression ability measurement; cloud education system; color expression ability; complicated computing; creation process; elementary school; image expression ability; massive information; online observational learning group; social learning theory; space expression ability; statistical analysis; Art; Cloud computing; Educational institutions; Image color analysis; Painting; art education; cloud education; observational learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on
  • Conference_Location
    Athens, GA
  • ISSN
    2161-3761
  • Print_ISBN
    978-1-61284-209-7
  • Electronic_ISBN
    2161-3761
  • Type

    conf

  • DOI
    10.1109/ICALT.2011.45
  • Filename
    5992284