{"title":"在 CS 基础教育中培养未来的计算思维:印度一所通识教育大学的案例研究","authors":"Balaji Kalluri;Prajish Prasad;Prakrati Sharma;Divyaansh Chippa","doi":"10.1109/TE.2024.3394060","DOIUrl":null,"url":null,"abstract":"Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking into the design of a first-year undergraduate programming course. The study describes a creative blended pedagogy that embeds the proposed model into the course plan.Background: The emergence of artificial intelligent systems such as large language models from a knowledge provider perspective, coupled with a gradual change in post-pandemic outlook of education challenge the relevance and raises concerns about the future of education. The 21st-century human CT requirements, viz., learning to code (skill) and thinking computationally (competency), will be inadequate in the future. Moreover, there is substantial evidence which shows that most introductory programming courses fail to integrate critical elements like ethics and responsibility as part of the course.Intended Outcomes: The authors anticipate experiential learning models such as this has immense potential to future-proof CS education, as well as make future software engineers responsible citizens.Application Design: The proposed model blends six types of thinking into the design and activities of the course. The underlying theoretical basis of these activities revolve around three key principles: 1) experiential learning; 2) self-reflection; and 3) peer learning.Findings: This case study from a liberal educational institution in India qualitatively shows evidence of students developing six critical elements of thinking that shapes their future CT ability.","PeriodicalId":55011,"journal":{"name":"IEEE Transactions on Education","volume":"67 6","pages":"944-953"},"PeriodicalIF":2.1000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing Future Computational Thinking in Foundational CS Education: A Case Study From a Liberal Education University in India\",\"authors\":\"Balaji Kalluri;Prajish Prasad;Prakrati Sharma;Divyaansh Chippa\",\"doi\":\"10.1109/TE.2024.3394060\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking into the design of a first-year undergraduate programming course. The study describes a creative blended pedagogy that embeds the proposed model into the course plan.Background: The emergence of artificial intelligent systems such as large language models from a knowledge provider perspective, coupled with a gradual change in post-pandemic outlook of education challenge the relevance and raises concerns about the future of education. The 21st-century human CT requirements, viz., learning to code (skill) and thinking computationally (competency), will be inadequate in the future. Moreover, there is substantial evidence which shows that most introductory programming courses fail to integrate critical elements like ethics and responsibility as part of the course.Intended Outcomes: The authors anticipate experiential learning models such as this has immense potential to future-proof CS education, as well as make future software engineers responsible citizens.Application Design: The proposed model blends six types of thinking into the design and activities of the course. The underlying theoretical basis of these activities revolve around three key principles: 1) experiential learning; 2) self-reflection; and 3) peer learning.Findings: This case study from a liberal educational institution in India qualitatively shows evidence of students developing six critical elements of thinking that shapes their future CT ability.\",\"PeriodicalId\":55011,\"journal\":{\"name\":\"IEEE Transactions on Education\",\"volume\":\"67 6\",\"pages\":\"944-953\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Education\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10530940/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Education","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10530940/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
Developing Future Computational Thinking in Foundational CS Education: A Case Study From a Liberal Education University in India
Contribution: This article proposes a new theoretical model with a goal to develop future human computational thinking (CT) in foundational computer science (CS) education. The model blends six critical types of thinking, i.e., logical thinking, systems thinking, sustainable thinking, strategic thinking, creative thinking, and responsible thinking into the design of a first-year undergraduate programming course. The study describes a creative blended pedagogy that embeds the proposed model into the course plan.Background: The emergence of artificial intelligent systems such as large language models from a knowledge provider perspective, coupled with a gradual change in post-pandemic outlook of education challenge the relevance and raises concerns about the future of education. The 21st-century human CT requirements, viz., learning to code (skill) and thinking computationally (competency), will be inadequate in the future. Moreover, there is substantial evidence which shows that most introductory programming courses fail to integrate critical elements like ethics and responsibility as part of the course.Intended Outcomes: The authors anticipate experiential learning models such as this has immense potential to future-proof CS education, as well as make future software engineers responsible citizens.Application Design: The proposed model blends six types of thinking into the design and activities of the course. The underlying theoretical basis of these activities revolve around three key principles: 1) experiential learning; 2) self-reflection; and 3) peer learning.Findings: This case study from a liberal educational institution in India qualitatively shows evidence of students developing six critical elements of thinking that shapes their future CT ability.
期刊介绍:
The IEEE Transactions on Education (ToE) publishes significant and original scholarly contributions to education in electrical and electronics engineering, computer engineering, computer science, and other fields within the scope of interest of IEEE. Contributions must address discovery, integration, and/or application of knowledge in education in these fields. Articles must support contributions and assertions with compelling evidence and provide explicit, transparent descriptions of the processes through which the evidence is collected, analyzed, and interpreted. While characteristics of compelling evidence cannot be described to address every conceivable situation, generally assessment of the work being reported must go beyond student self-report and attitudinal data.