Wednesday, April 8
2:15-2:30 PM
Room 3 -

Building Computational Thinking Through Teachable Machine

Live / Synchronous ID: 56608
  1. aaa
    Haoyue Zhang
    University of Houston
  2. Sara McNeil
    University of Houston
  3. aaa
    Susie Gronseth
    University of Houston
  4. Bulent Dogan
    University of Houston
  5. Erwin Handoko
    University of Houston
  6. Lydia Ugwu
    University of Houston

Abstract: This paper describes a professional development plan on teaching pre-service teachers the concept of computational thinking through experiential learning model. Computational thinking refers to the thought process in understanding problems, representing data, and formulating solutions in the ways of computer scientists (Barr, Harrison, & Conery, 2011). It is an essential skill for everyone in the digital age as we are unavoidably dealing with computers and algorithms, let alone for teachers. Teaching with technology will be a burden if the teachers do not know how to express problems and their solutions in ways that a computer could execute. Pre-service teachers need to be instructed on the use of computational thinking. However, few teacher-education programs focus on teaching pre-service teachers the concept of computational thinking and relevant instructional strategies (Yadav, Stephenson, & Hong, 2017).

Presider: Gerald Ardito, Manhattanviille College School of Education


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