Literature Index

Displaying 2611 - 2620 of 3326
  • Author(s):
    Ben-Zvi, D.
    Editors:
    C. Batanero
    Year:
    2001
  • Author(s):
    Lajoie, S. P.
    Editors:
    Gal, I., & Garfield, J. B.
    Year:
    1997
    Abstract:
    The chapter does not provide an extensive overview of the use of technology in statistics. Rather, a detailed summary is provided of how one researcher has used technology to teach and assess statistics in grade eight. Both traditonal modes of assessment as well as technology-driven methods will be described in an attempt to demonstrate how multiple mediums of assessment can be used to provide a profile of students' statistical knowledge. The research reported here is grounded in cognitive theory with an emphasis on theories of learning that emphasize learning situations that are concrete rather than abstract. In other words, students learn better by "doing" statistics rather than just computing or reciting statistical equations or definitions. This research program is designed to provide authentic learning and assessment situations (Lajoie, 1995). The term authentic refers to meaningful, realistic tasks and assessments that validly assess what the learner understands.
  • Author(s):
    Garfield, J. B.
    Year:
    1990
    Abstract:
    This is the report of a working group on Technology and Statistics that explores the role of technology in improving how students model and analyze data to understand the world around them. The paper first addresses curricular goals for students at different grade levels. A section on modeling issues examines data analysis as an investigative process in which students construct, examine, and interpret models of the world. Other sections of the paper describe the unique capabilities technology offers for teaching and learning statistics, provide examples of existing technology designed to help students develop important concepts, and offer recommendations for technology to be developed over the next decade. Research issues and teacher preparation concerns are also addressed.
  • Author(s):
    Cliff Konold and Richard Lehrer
    Editors:
    Lyn D. English
    Year:
    2007
  • Author(s):
    Biehler, R., Ben-Zvi, D., Bakker, A., & Makar, K.
    Editors:
    M. A. Clements, A. Bishop, C. Keitel, J. Kilpatrick, and F. Leung
    Year:
    2013
    Abstract:
    The purpose of this chapter is to provide an updated overview of digital technologies relevant to statistics education, and to summarize what is currently known about how these new technologies can support the development of students’ statistical reasoning at the school level. A brief literature review of trends in statistics education is followed by a section on the history of technologies in statistics and statistics education. Next, an overview of various types of technological tools highlights their benefi t s, purposes and limitations for developing students’ statistical reasoning. We further discuss different learning environments that capitalize on these tools with examples from research and practice. Dynamic data analysis software applications for secondary students such as Fathom and 
  • Author(s):
    Michael Bulmer and Emma Low
    Year:
    2008
    Abstract:
    Prior beliefs and attitudes of students can have a significant impact on their learning experience<br>but it is usually difficult to engage with student beliefs in depth when dealing with large classes.<br>As part of an ALTC Associate Fellowship project, we have developed technologies and strategies<br>for facilitating connections between staff and student beliefs through the embedding of student<br>reflective writing in statistics courses. Students were free to write whatever they liked in their<br>journals but weekly themes were also provided to give them a starting point if needed. The aim of<br>this paper is to give an overview and analysis of entries around the themes that were particularly<br>related to beliefs about statistics, as well as to demonstrate the use of text mining tools in this<br>context.
  • Author(s):
    Garfield J., Chance, B., Snell, J. L.
    Editors:
    Derek Holton et al.
    Year:
    2001
    Abstract:
    This paper examines the ways technology is being used in a variety of college-level statistics courses: introductory statistics, probability, mathematical statistics, and intermediate statistics. Although there is some overlap in the types of technological resources being used in these different courses, an attempt is made to isolate the particular types of technology or software that are most appropriate or most used in each type of course.
  • Author(s):
    Hovermill Shamatha, J. A.
    Editors:
    Peressini, D.
    Year:
    2003
    Abstract:
    This study utilized teacher development experiment methodology to support, and deeply examine, three teachers' understandings and practices regarding content, pedagogy, and technology as they learn about and strive to integrate Fathom, data analysis software, into their curriculum and instruction. Surveys, observations, and interviews were utilized to gather data in order to research the interactions among these three factors and how they were associated with the effectiveness of the three teachers' integration of technology. Pictures of weak, developing, and exemplary facilitation of Technology-Supported Inquiry Learning, as outlined by an effective learning environment conceptual framework, resulted from this study. Exemplary practices occurred in teachers who held strong understandings and practices in all areas; content, pedagogy, and technology. This implies that professional development must be provided in such a way that teachers can learn about, practice with, and reflect on all areas simultaneously.
  • Author(s):
    Meletiou-Mavrotheris, M.
    Year:
    2003
    Abstract:
    While technology has become an integral part of introductory statistics courses, the programs typically employed are professional packages designed primarily for data analysis rather than for learning. Findings from several studies suggest that use of such software in the introductory statistics classroom may not be very effective in helping students to build intuitions about the fundamental statistical ideas of sampling distribution and inferential statistics. The paper describes an instructional experiment which explored the capabilities of Fathom, one of several recently-developed packages explicitly designed to enhance learning. Findings from the study indicate that use of Fathom led students to the construction of a fairly coherent mental model of sampling distributions and other key concepts related to statistical educators should consider when choosing statiscal software. They also provide suggestions about how to approach the particularly challenging topic of statistical inference.
  • Author(s):
    Macgillivray, H. L.
    Editors:
    Phillips, B.
    Year:
    2002
    Abstract:
    The importance of the statistical sciences in modern engineering is apparent but not necessarily its many roles. Although the second of the US Engineering Criteria 2000, "an ability to design and conduct experiments as well as to analyse and interpret data" has been quoted as stating that statistics has a dotpoint "on its own", (Phillips, 1998) the wording tends to underestimate the diversity and extent of statistics in engineering. The roles of technology in statistics education are also diverse, and must be considered within the student and course context. This paper considers engineering statistics education and where and how statistical technology can facilitate students' conceptual structure, statistical thinking and confidence. There is no magic wand, but technology facilitates and integrates with good teaching and learning strategies based on teachers' statistical understanding and their understanding of the needs of their students.

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The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education