{"title":"探索学生解决数学问题的计算思维:个案研究","authors":"N. Hansen, Said Hadjerrouit","doi":"10.33965/celda2021_202108l031","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to investigate students’ engagement in computational thinking (CT) and programming with MATLAB when solving a mathematical task in a programming course at the undergraduate level. The data collection method is participant observation of three groups of three students presented with a mathematical task to solve. The study uses a deductive-inductive analysis strategy based on the interplay between the theoretical framework and the empirical data. The results reveal that engaging students in CT for mathematical problem-solving is challenging for many reasons: Lack of mathematical thinking (MT), insufficient experience with CT, and more importantly lack of deeper connection between CT and MT. Conclusions are drawn from the results to promote mathematical problem-solving by means of CT and MT at the undergraduate level. of three groups, each consisting of three students with varying knowledge in mathematics. The students were presented with a mathematical task to solve, while responding to questions in dialogue with the teacher on the solving process, by means of CT, MT, and programming activities. Open-ended questions were also used to gain a deeper understanding of the process. abstract, generalize","PeriodicalId":413698,"journal":{"name":"18th International Conference Cognition and Exploratory Learning in Digital Age 2021","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"EXPLORING STUDENTS' COMPUTATIONAL THINKING FOR MATHEMATICAL PROBLEM-SOLVING: A CASE STUDY\",\"authors\":\"N. Hansen, Said Hadjerrouit\",\"doi\":\"10.33965/celda2021_202108l031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this paper is to investigate students’ engagement in computational thinking (CT) and programming with MATLAB when solving a mathematical task in a programming course at the undergraduate level. The data collection method is participant observation of three groups of three students presented with a mathematical task to solve. The study uses a deductive-inductive analysis strategy based on the interplay between the theoretical framework and the empirical data. The results reveal that engaging students in CT for mathematical problem-solving is challenging for many reasons: Lack of mathematical thinking (MT), insufficient experience with CT, and more importantly lack of deeper connection between CT and MT. Conclusions are drawn from the results to promote mathematical problem-solving by means of CT and MT at the undergraduate level. of three groups, each consisting of three students with varying knowledge in mathematics. The students were presented with a mathematical task to solve, while responding to questions in dialogue with the teacher on the solving process, by means of CT, MT, and programming activities. Open-ended questions were also used to gain a deeper understanding of the process. abstract, generalize\",\"PeriodicalId\":413698,\"journal\":{\"name\":\"18th International Conference Cognition and Exploratory Learning in Digital Age 2021\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th International Conference Cognition and Exploratory Learning in Digital Age 2021\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33965/celda2021_202108l031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference Cognition and Exploratory Learning in Digital Age 2021","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33965/celda2021_202108l031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EXPLORING STUDENTS' COMPUTATIONAL THINKING FOR MATHEMATICAL PROBLEM-SOLVING: A CASE STUDY
The purpose of this paper is to investigate students’ engagement in computational thinking (CT) and programming with MATLAB when solving a mathematical task in a programming course at the undergraduate level. The data collection method is participant observation of three groups of three students presented with a mathematical task to solve. The study uses a deductive-inductive analysis strategy based on the interplay between the theoretical framework and the empirical data. The results reveal that engaging students in CT for mathematical problem-solving is challenging for many reasons: Lack of mathematical thinking (MT), insufficient experience with CT, and more importantly lack of deeper connection between CT and MT. Conclusions are drawn from the results to promote mathematical problem-solving by means of CT and MT at the undergraduate level. of three groups, each consisting of three students with varying knowledge in mathematics. The students were presented with a mathematical task to solve, while responding to questions in dialogue with the teacher on the solving process, by means of CT, MT, and programming activities. Open-ended questions were also used to gain a deeper understanding of the process. abstract, generalize