TY - GEN
T1 - The Influence of Code.org on Computational Thinking and Learning Attitude in Block-Based Programming Education
AU - Choi, Wan Chong
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/11/21
Y1 - 2022/11/21
N2 - In recent years, the elementary schools in Macao have increasingly offered programming curriculum. Programming curriculum emphasizes computational thinking, which is the capacity to analyze, design algorithms, and find solutions to programming problems. However, it is not easy to develop students' computational thinking abilities. In addition, students' poor learning attitudes are connected to difficulties in learning programming. Therefore, it is crucial for educators to investigate how to improve students' computational thinking and learning attitudes. This study applied a quasi-experimental research method to a single group and used a pretest-posttest method to measure the influence of using Code.org on computational thinking and learning attitudes. The participants were 20 third-grade students in an elementary school in Macao. The teaching duration is carried out for three weeks, six lessons per week, a total of eighteen lessons, and 40 minutes per lesson. The Programming Computational Thinking Scale (PCTS) and the Attitude Scale of Computer Programming Learning (ASCOPL) were used to evaluate the implementation's effect. After analyzing the questionnaire scores and students' achievements on the Code.org website, it was found that after receiving the Code.org instruction, students were able to complete most of the stage of the Course B curriculum in Code.org, and their computational thinking and learning attitudes have improved significantly.
AB - In recent years, the elementary schools in Macao have increasingly offered programming curriculum. Programming curriculum emphasizes computational thinking, which is the capacity to analyze, design algorithms, and find solutions to programming problems. However, it is not easy to develop students' computational thinking abilities. In addition, students' poor learning attitudes are connected to difficulties in learning programming. Therefore, it is crucial for educators to investigate how to improve students' computational thinking and learning attitudes. This study applied a quasi-experimental research method to a single group and used a pretest-posttest method to measure the influence of using Code.org on computational thinking and learning attitudes. The participants were 20 third-grade students in an elementary school in Macao. The teaching duration is carried out for three weeks, six lessons per week, a total of eighteen lessons, and 40 minutes per lesson. The Programming Computational Thinking Scale (PCTS) and the Attitude Scale of Computer Programming Learning (ASCOPL) were used to evaluate the implementation's effect. After analyzing the questionnaire scores and students' achievements on the Code.org website, it was found that after receiving the Code.org instruction, students were able to complete most of the stage of the Course B curriculum in Code.org, and their computational thinking and learning attitudes have improved significantly.
KW - Block-based programming
KW - Computational thinking
KW - Learning attitude
KW - Programming education
UR - http://www.scopus.com/inward/record.url?scp=85166011658&partnerID=8YFLogxK
U2 - 10.1145/3578837.3578871
DO - 10.1145/3578837.3578871
M3 - Conference contribution
AN - SCOPUS:85166011658
T3 - ACM International Conference Proceeding Series
SP - 235
EP - 241
BT - Proceedings of the 2022 6th International Conference on Education and E-Learning, ICEEL 2022
PB - Association for Computing Machinery
T2 - 6th International Conference on Education and E-Learning, ICEEL 2022
Y2 - 21 November 2022 through 23 November 2022
ER -