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  • 标题:Fostering Computational Thinking Skills: A Didactic Proposal for Elementary School Grades
  • 本地全文:下载
  • 作者:Ricardo Silva ; Benjamim Fonseca ; Cecília Costa
  • 期刊名称:Education Sciences
  • 电子版ISSN:2227-7102
  • 出版年度:2021
  • 卷号:11
  • 期号:9
  • 页码:518
  • DOI:10.3390/educsci11090518
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:There is a growing presence of technology in the daily lives of elementary school students, with a recent exponential rise due to the constraints of remote teaching during the COVID-19 pandemic. It is important to understand how the education system can contribute to helping students develop the required skills for technological careers, without neglecting its obligation to create conditions that allow them to acquire transversal skills and to enable them to exercise full citizenship. The integration of Educational Robotics and block programming activities in collaborative learning environments promotes the development of computational thinking and other ICT skills, as well as critical thinking, social skills, and problem solving. This paper presents a theoretical proposal of a didactic sequence for the introduction to educational robotics and programming with Scratch Jr. It is composed of three learning scenarios, designed for elementary school teaching. Its main goal is to create conditions that favour the development of computational thinking in a collaborative learning environment. With increasing complexity and degree of difficulty, all the tasks root from a common problem: How can we create an algorithm that programs the robot/sprite to reach a predetermined position?
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