Starting from the characteristics of big data,the cognition and thinking of contemporary college students have shown new features.Therefore,it is necessary to use the technical means of big data to formulate thinking ...Starting from the characteristics of big data,the cognition and thinking of contemporary college students have shown new features.Therefore,it is necessary to use the technical means of big data to formulate thinking under big data,combined with critical thinking.By doing so,students can finally nurture a correct attitude and better morality and even complete the fundamental task of higher education.展开更多
With rapidly increasing massive data,mankind is entering a new era of big data.This brings new opportunities and challenges to modern society,and big data techniques also play an important role in advancing techniques...With rapidly increasing massive data,mankind is entering a new era of big data.This brings new opportunities and challenges to modern society,and big data techniques also play an important role in advancing techniques of computer science(CS)and software engineering(SE).To keep pace with developments in technology,more and more university universities are incorporating big data into their curriculum courses.However,it is distinguished from traditional CS/SE courses and big data courses.This paper attempts to think deeply about the course construction of introduction to big data from the cultivation of data thinking,and further explore the implementation result and existing problems of the course,so as to better carry out the teaching of big data course.展开更多
Due to the recent explosion of big data, our society has been rapidly going through digital transformation and entering a new world with numerous eye-opening developments. These new trends impact the society and futur...Due to the recent explosion of big data, our society has been rapidly going through digital transformation and entering a new world with numerous eye-opening developments. These new trends impact the society and future jobs, and thus student careers. At the heart of this digital transformation is data science, the discipline that makes sense of big data. With many rapidly emerging digital challenges ahead of us, this article discusses perspectives on iSchools＇ opportunities and suggestions in data science education. We argue that iSchools should empower their students with ＂information computing＂ disciplines, which we define as the ability to solve problems and create values, information, and knowledge using tools in application domains. As specific approaches to enforcing information computing disciplines in data science education, we suggest the three foci of user-based, tool-based, and application- based. These three loci will serve to differentiate the data science education of iSchools from that of computer science or business schools. We present a layered Data Science Education Framework （DSEF） with building blocks that include the three pillars of data science （people, technology, and data）, computational thinking, data-driven paradigms, and data science lifecycles. Data science courses built on the top of this framework should thus be executed with user-based, tool-based, and application-based approaches. This framework will help our students think about data science problems from the big picture perspective and foster appropriate problem-solving skills in conjunction with broad perspectives of data science lifecycles. We hope the DSEF discussed in this article will help fellow iSchools in their design of new data science curricula.展开更多
Computer science concept and ability is crucial to modern information technology.As a basic computer science education,computational thinking has become one of the first courses for college students and the foundation...Computer science concept and ability is crucial to modern information technology.As a basic computer science education,computational thinking has become one of the first courses for college students and the foundation for training for non-computer professionals.Computational thinking is a way of thinking that students in all majors should master.In the process of teaching,students learn to use computational thinking to solve professional and technical problems and make good use of computer’s powerful tools.It is one of the major themes of recent teaching research.We set course objectives from issues-driven and correspond each class to the module objectives,so that the focus of course content is clear.The learning clues for the students are clear,which is conducive to the cultivation and improvement of computational thinking.展开更多
基金This paper is the fruit of the key project backed by the 2019 Educational Reform Project of Institution of Higher Education of Shanxi Province(Ideological and Political Theory Course)-A Study on Educational Reform of Ideological and Political Theory Courses in the Big Data Era(Project Number:2019JGSZ003).
文摘Starting from the characteristics of big data,the cognition and thinking of contemporary college students have shown new features.Therefore,it is necessary to use the technical means of big data to formulate thinking under big data,combined with critical thinking.By doing so,students can finally nurture a correct attitude and better morality and even complete the fundamental task of higher education.
基金supported by the Fundamental Research Funds for the Central Universities(Grant No.2021RC235).
文摘With rapidly increasing massive data,mankind is entering a new era of big data.This brings new opportunities and challenges to modern society,and big data techniques also play an important role in advancing techniques of computer science(CS)and software engineering(SE).To keep pace with developments in technology,more and more university universities are incorporating big data into their curriculum courses.However,it is distinguished from traditional CS/SE courses and big data courses.This paper attempts to think deeply about the course construction of introduction to big data from the cultivation of data thinking,and further explore the implementation result and existing problems of the course,so as to better carry out the teaching of big data course.
文摘Due to the recent explosion of big data, our society has been rapidly going through digital transformation and entering a new world with numerous eye-opening developments. These new trends impact the society and future jobs, and thus student careers. At the heart of this digital transformation is data science, the discipline that makes sense of big data. With many rapidly emerging digital challenges ahead of us, this article discusses perspectives on iSchools＇ opportunities and suggestions in data science education. We argue that iSchools should empower their students with ＂information computing＂ disciplines, which we define as the ability to solve problems and create values, information, and knowledge using tools in application domains. As specific approaches to enforcing information computing disciplines in data science education, we suggest the three foci of user-based, tool-based, and application- based. These three loci will serve to differentiate the data science education of iSchools from that of computer science or business schools. We present a layered Data Science Education Framework （DSEF） with building blocks that include the three pillars of data science （people, technology, and data）, computational thinking, data-driven paradigms, and data science lifecycles. Data science courses built on the top of this framework should thus be executed with user-based, tool-based, and application-based approaches. This framework will help our students think about data science problems from the big picture perspective and foster appropriate problem-solving skills in conjunction with broad perspectives of data science lifecycles. We hope the DSEF discussed in this article will help fellow iSchools in their design of new data science curricula.
基金supported in part by the Production,Teaching and Research Project of the Ministry of Education in 2022.
文摘Computer science concept and ability is crucial to modern information technology.As a basic computer science education,computational thinking has become one of the first courses for college students and the foundation for training for non-computer professionals.Computational thinking is a way of thinking that students in all majors should master.In the process of teaching,students learn to use computational thinking to solve professional and technical problems and make good use of computer’s powerful tools.It is one of the major themes of recent teaching research.We set course objectives from issues-driven and correspond each class to the module objectives,so that the focus of course content is clear.The learning clues for the students are clear,which is conducive to the cultivation and improvement of computational thinking.
