Bio: Dani Ben-Zvi is an academic researcher from University of Haifa. The author has contributed to research in topics: Statistics education & Exploratory data analysis. The author has an hindex of 27, co-authored 102 publications receiving 3498 citations. Previous affiliations of Dani Ben-Zvi include Weizmann Institute of Science & Open University.
Papers published on a yearly basis
01 Jan 2004
TL;DR: This chapter discusses the development of Instructional Design for Supporting the Development of Students' Statistical Reasoning and research on Statistical Literacy, Reasoning, and Thinking.
Abstract: Statistical Literacy, Reasoning, and Thinking: Goals, Definitions, and Challenges.- Towards an Understanding of Statistical Thinking.- Statistical Literacy.- A Comparison of Mathematical and Statistical Reasoning.- Models of Development in Statistical Reasoning.- Reasoning about Data Analysis.- Learning to Reason About Distribution.- Conceptualizing an Average as a Stable Feature of a Noisy Process.- Reasoning About Variation.- Reasoning about Covariation.- Students' Reasoning about the Normal Distribution.- Developing Reasoning about Samples.- Reasoning about Sampling Distribitions.- Primary Teachers' Statistical Reasoning about Data.- Secondary Teachers' Statistical Reasoning in Comparing Two Groups.- Principles of Instructional Design for Supporting the Development of Students' Statistical Reasoning.- Research on Statistical Literacy, Reasoning, and Thinking: Issues, Challenges, and Implications.
TL;DR: The authors provide an overview of current research on teaching and learning statistics, summarizing studies that have been conducted by researchers from different disciplines and focused on students at all levels, and suggest what can be learned from the results of each of these questions.
Abstract: Summary This paper provides an overview of current research on teaching and learning statistics, summarizing studies that have been conducted by researchers from different disciplines and focused on students at all levels. The review is organized by general research questions addressed, and suggests what can be learned from the results of each of these questions. The implications of the research are described in terms of eight principles for learning statistics from Garfield (1995) which are revisited in the light of results from current studies.
23 Sep 2008
TL;DR: This book discusses the role of Collaboration in Improving Statistics Education: In Learning, in Teaching, and in Research, and how to Reason about Statistical Inference.
Abstract: Foreword Roxy Peck Preface Joan Garfield and Dani Ben-Zvi Part I. The Foundations of Statistics Education Chapter 1 The Discipline of Statistics Education Chapter 2 The Research on Teaching and Learning Statistics Chapter 3 Creating a Statistical Reasoning Learning Environment Chapter 4 Assessment in Statistics Education Chapter 5 Using Technology to Improve Student Learning of Statistics Part II. From Research to Practice: Developing the Big Ideas of Statistics Introduction to Part II Connecting Research to Teaching Practice Chapter 6 Learning to Reason about Data Chapter 7 Learning to Reason about Statistical Models and Modeling Chapter 8 Learning to Reason about Distribution Chapter 9 Learning to Reason about Center Chapter 10 Learning to Reason about Variability Chapter 11 Learning to Reason about Comparing Groups Chapter 12 Learning to Reason about Samples and Sampling Distributions Chapter 13 Learning to Reason about Statistical Inference Chapter 14 Learning to Reason about Covariation Part III. Implementing Change through Collaboration Introduction to Part III The Role of Collaboration in Improving Statistics Education: In Learning, in Teaching, and in Research Chapter 15 Collaboration in the Statistics Classroom Chapter 16 Collaboration in Teaching and Research ReferencesResources Tables of Activities Author Index Subject Index
TL;DR: Recent developments in the use of technology in teaching statistics in light of changes in course content, pedagogical methods, and instructional formats are summarized.
Abstract: This paper provides a broad overview of the role technological tools can play in helping students understand and reason about important statistical ideas. We summarize recent developments in the use of technology in teaching statistics in light of changes in course content, pedagogical methods, and instructional formats. Issues and practical challenges in selecting and implementing technological tools are presented discussed, and examples of exemplary tools are provided along with suggestions for their use.
••01 Jan 2004
01 Jan 1985
01 Jan 2003
TL;DR: In this paper, Sherry Turkle uses Internet MUDs (multi-user domains, or in older gaming parlance multi-user dungeons) as a launching pad for explorations of software design, user interfaces, simulation, artificial intelligence, artificial life, agents, virtual reality, and the on-line way of life.
Abstract: From the Publisher: A Question of Identity Life on the Screen is a fascinating and wide-ranging investigation of the impact of computers and networking on society, peoples' perceptions of themselves, and the individual's relationship to machines. Sherry Turkle, a Professor of the Sociology of Science at MIT and a licensed psychologist, uses Internet MUDs (multi-user domains, or in older gaming parlance multi-user dungeons) as a launching pad for explorations of software design, user interfaces, simulation, artificial intelligence, artificial life, agents, "bots," virtual reality, and "the on-line way of life." Turkle's discussion of postmodernism is particularly enlightening. She shows how postmodern concepts in art, architecture, and ethics are related to concrete topics much closer to home, for example AI research (Minsky's "Society of Mind") and even MUDs (exemplified by students with X-window terminals who are doing homework in one window and simultaneously playing out several different roles in the same MUD in other windows). Those of you who have (like me) been turned off by the shallow, pretentious, meaningless paintings and sculptures that litter our museums of modern art may have a different perspective after hearing what Turkle has to say. This is a psychoanalytical book, not a technical one. However, software developers and engineers will find it highly accessible because of the depth of the author's technical understanding and credibility. Unlike most other authors in this genre, Turkle does not constantly jar the technically-literate reader with blatant errors or bogus assertions about how things work. Although I personally don't have time or patience for MUDs,view most of AI as snake-oil, and abhor postmodern architecture, I thought the time spent reading this book was an extremely good investment.
TL;DR: In this article, a critical examination of democratic theory and its implications for the civic education roles and contributions of teachers, adult educators, community development practitioners, and community organizers is presented.
Abstract: Course Description In this course, we will explore the question of the actual and potential connections between democracy and education. Our focus of attention will be placed on a critical examination of democratic theory and its implications for the civic education roles and contributions of teachers, adult educators, community development practitioners, and community organizers. We will survey and deal critically with a range of competing conceptions of democracy, variously described as classical, republican, liberal, radical, marxist, neomarxist, pragmatist, feminist, populist, pluralist, postmodern, and/or participatory. Using narrative inquiry as a means for illuminating and interpreting contemporary practice, we will analyze the implications of different conceptions of democracy for the practical work of civic education.
••01 Jan 2001
TL;DR: A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers.
Abstract: A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.