{"title":"Research on Teaching Effectiveness of Computational Thinking Based on Service Learning","authors":"Bing-Hong Chen, Tsui-Feng Huang, Sheng-Chieh Chou","doi":"10.1109/taai54685.2021.00037","DOIUrl":null,"url":null,"abstract":"Computational thinking has been widely regarded as an important ability to adapt to the future. College students use the knowledge they have learned to help elementary students in the community learn computational thinking, thereby enhancing the motivation and achievement of the course. Use Scratch software tools to support the learning of computational thinking. In addition to cultivating students’ basic knowledge and abilities, it also assists the lack of learning resources in community elementary schools through practical actions of service learning, so that students can focus their learning on task-base purposes. Comprehensive research and analysis are conducted based on the evaluation of the students' completed works, the learning satisfaction scale, and the data of the key indicators of self-evaluation of computational thinking, plus the questionnaire survey of the primary school students receiving assistance. The results show that: it helps to stimulate students' desire to learn, thereby significantly improving academic performance and learning motivation. At the same time, it makes students have self-confidence and a sense of accomplishment, and makes learners aware of the inadequacy of self-learning, and promotes their willingness to learn from passive to active.","PeriodicalId":343821,"journal":{"name":"2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/taai54685.2021.00037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Computational thinking has been widely regarded as an important ability to adapt to the future. College students use the knowledge they have learned to help elementary students in the community learn computational thinking, thereby enhancing the motivation and achievement of the course. Use Scratch software tools to support the learning of computational thinking. In addition to cultivating students’ basic knowledge and abilities, it also assists the lack of learning resources in community elementary schools through practical actions of service learning, so that students can focus their learning on task-base purposes. Comprehensive research and analysis are conducted based on the evaluation of the students' completed works, the learning satisfaction scale, and the data of the key indicators of self-evaluation of computational thinking, plus the questionnaire survey of the primary school students receiving assistance. The results show that: it helps to stimulate students' desire to learn, thereby significantly improving academic performance and learning motivation. At the same time, it makes students have self-confidence and a sense of accomplishment, and makes learners aware of the inadequacy of self-learning, and promotes their willingness to learn from passive to active.