{"title":"A preliminary study on interdisciplinary programming learning based on cloud computing low-code development platform","authors":"Chung-Hsiang Wang, Ko-Chiu Wu","doi":"10.1109/ICCA56443.2022.10039663","DOIUrl":null,"url":null,"abstract":"The application of “programming education” has become one of the future technological trends, and students with design backgrounds should also grasp this important development. In this study, the “AgilePoint NX” program course was established, and computational thinking was introduced into the course to guide students, through the image flow and low-code learning process, to carry out structured thinking and question speculation, and complete task exercises. This aims to teach design students to learn programming and computational thinking through a cloud-based low-code development platform with image processes and interdisciplinary learning processes. We conduct a comprehensive analysis and evaluate the learning effect through classroom learning observation, simple questionnaire survey, imagination scale, and other methods. Finally, the study found that in interdisciplinary programming learning, different factors lead to low learning effects of programming courses for design background students, resulting in different degrees of learning pain points and learning experiences. The power of imagination test is a tentative exploration of this research, but for the low-code development platform with fewer measurement data and biased towards procedural thinking, only predictive exploration has no significant data to show the specific impact on the programming learning process, only As a reference for interdisciplinary study.","PeriodicalId":153139,"journal":{"name":"2022 International Conference on Computer and Applications (ICCA)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer and Applications (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA56443.2022.10039663","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
The application of “programming education” has become one of the future technological trends, and students with design backgrounds should also grasp this important development. In this study, the “AgilePoint NX” program course was established, and computational thinking was introduced into the course to guide students, through the image flow and low-code learning process, to carry out structured thinking and question speculation, and complete task exercises. This aims to teach design students to learn programming and computational thinking through a cloud-based low-code development platform with image processes and interdisciplinary learning processes. We conduct a comprehensive analysis and evaluate the learning effect through classroom learning observation, simple questionnaire survey, imagination scale, and other methods. Finally, the study found that in interdisciplinary programming learning, different factors lead to low learning effects of programming courses for design background students, resulting in different degrees of learning pain points and learning experiences. The power of imagination test is a tentative exploration of this research, but for the low-code development platform with fewer measurement data and biased towards procedural thinking, only predictive exploration has no significant data to show the specific impact on the programming learning process, only As a reference for interdisciplinary study.