Literature Index

Displaying 1581 - 1590 of 3326
  • Author(s):
    Halvorsen, K. T., & Moore, T. L.
    Year:
    1991
    Abstract:
    This paper describes the student projects we have used in both introductory and in second-level statistics classes. It addresses the issues of motivating, monitoring, and evaluating student projects, and it discusses some special considerations student projects present for instructors using them.
  • Author(s):
    Pintrich, P. R., & DeGroot, E. V.
    Year:
    1990
    Abstract:
    Relationships among student motivational orientation, self-regulated learning, and classroom academic performance were examined for 173 seventh graders. Results provide empirical evidence for considering motivational and self-regulated learning components in models of academic performance. Involvement in self-regulated learning is tied closely to student efficacy beliefs.
    Location:
  • Author(s):
    Simonoff, J. S.
    Year:
    1998
    Abstract:
    The race between Mark McGwire and Sammy Sosa to break the major league season home run record captured the attention of sports fans (and even non-sports fans) during the summer of 1998. In this article the game-by-game home run performance of each of these players is provided, along with some team statistics for each game. This dataset provides a rich set of possibilities of analyses in both introductory and advanced statistics courses, including graphical exploratory displays, categorical data analysis, analysis of variance, logistic regression, and smoothing methods for Poisson and binomial data.
  • Author(s):
    Dixon, J.
    Year:
    2002
  • Author(s):
    Carter, H., Milne, C.
    Editors:
    Wallace, M., Ellis, A., & Newton, D.
    Year:
    2000
    Abstract:
    In 1997 a skills inventory was developed to define the statistical literacy attribute for a University of Wollongong graduate. Identification of the inventory elements, however,represented only the first step in the process: Once the definition was accepted, there wasa need to translate it into a program that provided students with opportunities to developand demonstrate the required skills.Developing the statistical literacy program has raised a number of questions. In this paperwe reflect upon our efforts to resolve these and to translate the skills inventory into aneffective program that can be applied across the University. Our choice of an onlineenvironment has implications for others who are contemplating developing similarprograms. A particular challenge is being faced in pushing the boundaries of the relevanttechnologies as we strive to achieve a level of interactivity that we think is necessary toengage students in learning.
  • Author(s):
    Roger W. Hoerl and Ronald D. Snee
    Year:
    2010
    Abstract:
    In an important and timely article Meng (2009) has raised important questions regarding the future of the statistics profession. We elaborate on several of his points and offer some additional opportunities for the profession to consider. We argue that statistical methods and tools must be properly integrated into an overall approach to scientific inquiry in order to be properly understood and utilized. The discipline of statistical engineering, defined in this article, provides a mechanism to do this based on research and theory. Similarly, statistical thinking provides a clear framework to help students understand the "big picture" of statistics, and a relevant context for its application. Further, there is a natural, synergistic linkage between statistical thinking, statistical engineering, and statistical methods. We believe that teaching this linkage to students and utilizing it widely ourselves will enable the profession to move forward to a higher level of impact.
  • Author(s):
    Stern, R.D.; Coe, R.; Stern, D.A.; McDermott, B.M.
    Year:
    2013
    Abstract:
    The case is made for a new type of statistical master’s program called MSc in Research Methods. The name of the course reflects the fact it is broader than one in statistics, partly because of the changing nature of research. It is designed to be accessible to two types of students: those who have a mathematical background and those who have a more applied background from their first degree. The program is intended primarily for working professionals so it is delivered in a way that is suitable for part-time students. The implementation of an e-learning version of this course in Kenya is also described.
  • Author(s):
    Andee Rubin
    Editors:
    Robert Gould
    Year:
    2007
    Abstract:
    The author of this article reflects on the uses of technology in statistics education, comparing the state of the art as described in her article from 1992 with current developments. She reviews five categories of software: software that uses video as data, Geographical Information Systems, graph construction tools, systems with distribution and data manipulation capabilities, and probability generation tools. Considering how software has changed in the past fifteen years, the author argues that while remarkable technological progress has been made, many of the same pedagogical caveats apply as in 1992. These concerns are an integral part of studying the uses of technology as a learning tool in any content area, so it is important that we put them front and center as this journal begins and keep them there as it grows.
  • Author(s):
    Mittag, H.
    Editors:
    Starkings, S.
    Year:
    2000
    Abstract:
    The breakneck advance of multimedia capabilities and internet technologies offers an unprecedented opportunity to improve the quality of teaching and learning. Nowadays the use of multimedia resources and WWW-supported learning environments is a crucial issue in education and further education. Integrating visualization, animation, interactive experiments, sound and hotlinks to relevant internet sites opens completely new dimensions of learning. Modern multimedia may also incorporate new communication channels and could be part of emerging virtual educational networks.<br><br>Statistics seems to be particularily suitable for illustrating the benefits of multimedia-based teaching. On the one hand, Statistics connects quite different fields of application. This interdisciplinary character of the science can be well demonstrated by suitable videos and motivating examples closely related to people's life. On the other hand, multimedia represents an ideal platform for visualizing statistical concepts and for discovering basic statistical principles by self-driven experiments. Multimedia software for Statistics can go beyond closed instructional microworlds by offering properly maintained subject-specific gateways to recent statistical data and supplementary information from the rapidly growing internet.
  • Author(s):
    Velleman, P. F., &amp; Moore, D. S.
    Year:
    1996
    Abstract:
    This article examines the usefulness of multimedia technology for teaching statistics, with attention to both promises and pitfalls. We suggest some principles for the design and use of multimedia, and we offer opinions on the role of human teachers in a multimedia educational environment.

Pages

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

register