{"title":"支撑代码编写的帕森斯问题:对性能和解决问题效率的影响","authors":"Xinying Hou, B. Ericson, Xu Wang","doi":"10.1145/3587103.3594182","DOIUrl":null,"url":null,"abstract":"Novice programmers struggle with writing code from scratch. One possible way to help them is by using an equivalent Parsons problem on demand, where learners place mixed-up code blocks in the correct order. In a classroom study with 89 undergraduate students, we examined how using a Parsons problem as scaffolding impacts performance and problem-solving efficiency. Results showed that students in the Parsons as Help group achieved significantly higher practice performance and problem-solving efficiency than students who wrote code without help, while achieving the same level of posttest scores. These results improve the understanding of Parsons problems and contribute to the design of future coding practices.","PeriodicalId":366365,"journal":{"name":"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Parsons Problems to Scaffold Code Writing: Impact on Performance and Problem-Solving Efficiency\",\"authors\":\"Xinying Hou, B. Ericson, Xu Wang\",\"doi\":\"10.1145/3587103.3594182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Novice programmers struggle with writing code from scratch. One possible way to help them is by using an equivalent Parsons problem on demand, where learners place mixed-up code blocks in the correct order. In a classroom study with 89 undergraduate students, we examined how using a Parsons problem as scaffolding impacts performance and problem-solving efficiency. Results showed that students in the Parsons as Help group achieved significantly higher practice performance and problem-solving efficiency than students who wrote code without help, while achieving the same level of posttest scores. These results improve the understanding of Parsons problems and contribute to the design of future coding practices.\",\"PeriodicalId\":366365,\"journal\":{\"name\":\"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3587103.3594182\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3587103.3594182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parsons Problems to Scaffold Code Writing: Impact on Performance and Problem-Solving Efficiency
Novice programmers struggle with writing code from scratch. One possible way to help them is by using an equivalent Parsons problem on demand, where learners place mixed-up code blocks in the correct order. In a classroom study with 89 undergraduate students, we examined how using a Parsons problem as scaffolding impacts performance and problem-solving efficiency. Results showed that students in the Parsons as Help group achieved significantly higher practice performance and problem-solving efficiency than students who wrote code without help, while achieving the same level of posttest scores. These results improve the understanding of Parsons problems and contribute to the design of future coding practices.