Literature Index

Displaying 1451 - 1460 of 3326
  • Author(s):
    Michelle K. McGinn
    Year:
    2010
    Abstract:
    This paper presents a qualitative case study of statistical practice in a universitybased statistical consulting centre. Naturally occurring conversations and activities<br><br>in the consulting sessions provided opportunities to observe questions, problems, and<br><br>decisions related to selecting, using, and reporting statistics and statistical techniques<br><br>in research. The consulting sessions provided simultaneous opportunities for<br><br>consultants and clients to learn about using statistics in research. Consistent with<br><br>contemporary theories that emphasize social dimensions of learning, major themes<br><br>relate to (a) types of clients and consulting interactions, (b) disciplinary and<br><br>statistical expertise, and (c) the role of material objects and representations.<br><br>Evidence shows that consultants and clients learned during the consulting sessions<br><br>and that the statistical consulting centre contributed positively to teaching and<br><br>research at the university.
  • Author(s):
    Cobb, P. &amp; Hodge, L.
    Editors:
    Phillips, B.
    Year:
    2002
    Abstract:
    The sociocultural perspective draws attention to students' development of a sense of who they are in relation to statistics as an integral aspect of their learning. This focus on students' construction of identities as doers of statistics relates directly to a number of issues that are of immediate concern to most teachers including students' interest in and motivations for studying statistics. We present the results of a classroom design experiment in which a group of 12-year-old students developed identities as people who chose to engage in, saw value in, and viewed themselves as competent at developing data-based arguments. We also discuss aspects of the design experiment that appeared to play an important role in supporting the students' development of these positive orientations towards statistics.
  • Author(s):
    Rouan, O.
    Editors:
    Lamrabet, D.
    Year:
    2001
    Abstract:
    Notre probl&eacute;matique se situe dans le cadre de la lecture et l'interpr&eacute;tation des repr&eacute;sentations graphiques des donn&eacute;es statistiques (RGDS), enseign&eacute;es au niveau secondaire. Pour mieux la fonder, nous avons proc&eacute;d&eacute; &agrave; l'&eacute;tude de l'&eacute;volution des programmes de statistique du niveau coll&eacute;gial et secondaire, &agrave; l'analyse descriptive des orientations p&eacute;dagogiques associ&eacute;es &agrave; ces programmes et &agrave; celle des manuels scolaires correspondants. Comme nous avons proc&eacute;d&eacute; &agrave; l'analyse des r&eacute;sultats d'un questionnaire que nous avons adress&eacute;, dans ce but, &agrave; des enseignants de math&eacute;matiques du secondaire. Notre revue de litt&eacute;rature a permis de pr&eacute;ciser le sens de la terminologie utilis&eacute;e, d'&eacute;laborer un mod&egrave;le de compr&eacute;hension des RGDS, utile pour l'analyser de nos graphiques et de d&eacute;gager les diff&eacute;rentes fonctions des RGDS &agrave; partir d'une &eacute;tude de l'&eacute;volution historique de ce type de graphiques. Ces &eacute;l&eacute;ments ensemble, ont men&eacute; aux deux objectifs suivants: 1. Identifier le statut que les enseignants du secondaire associent aux RGDS, et les r&eacute;actions qu'ils manifestent &agrave; l'&eacute;gard de leur interpr&eacute;tation. 2. Identifier les difficult&eacute;s de lecture et d'interpr&eacute;tation des RGDS, chez les &eacute;l&egrave;ves du secondaire, ainsi que les aspects de compr&eacute;hension auxquels ces difficult&eacute;s sont associ&eacute;es Pour atteindre le premier objectif, nous avons adress&eacute; un questionnaire &agrave; 221 enseignants de math&eacute;matiques du secondaire. Nous avons aussi eu des entretiens avec certains entre eux. Pour atteindre le deuxi&egrave;me objectif, nous avons &eacute;labor&eacute; un questionnaire ayant quatre versions, deux pour l'histogramme , une pour le diagramme en b&acirc;tons et une pour le diagramme circulaire. Chacune de ces versions a &eacute;t&eacute; administr&eacute;e &agrave; un nombre d'&eacute;l&egrave;ves, variant entre 130 et 150, de la premi&egrave;re sciences exp&eacute;rimentales. Les r&eacute;sultats concernant les enseignants, ont mis en &eacute;vidences diff&eacute;rentes conceptions erron&eacute;es concernant l'objet de la statistique, les fonctions des RGDS, la d&eacute;finition de leur lecture et de leur interpr&eacute;tation. Pour les deux premi&egrave;res unit&eacute;s, les conceptions dominantes ont un aspect, soit descriptif, soit formel et calculatoire. Alors que pour les deux derni&egrave;res, nous avons souvent constat&eacute; une confusion entre la lecture et l'interpr&eacute;tation des RGDS. Les r&eacute;sultats concernant les &eacute;l&egrave;ves ont mis en &eacute;vidences diff&eacute;rents modes de lecture et d'interpr&eacute;tation des RGDS. Parmi ces derniers ''le mode discret'', ''le mode ordinal'', ''le mode fonctionnel'', ''le mode direct'' et le ''mode fonctionnel''. Ces modes de lecture et d'interpr&eacute;tation des RGDS, engendrent des difficult&eacute;s associ&eacute;es aux diff&eacute;rents aspects de compr&eacute;hension de ces derni&egrave;res. Les aspects concern&eacute;s sont l'aspect structurel, l'aspect s&eacute;miotique, l'aspect descriptif et l'aspect fonctionnel. Les autres difficult&eacute;s sont li&eacute;es au r&ocirc;les de destructeur visuel, que peut jouer le graphique. Nous avons aussi pu constater que chacune des RGDS trait&eacute;es est caract&eacute;ris&eacute;e par un type particulier de difficult&eacute;s ou par la dominance d'un aspect particulier de compr&eacute;hension. Ainsi pour l'histogramme et le diagramme en b&acirc;tons, ce sont surtout les difficult&eacute;s engendr&eacute;es par le mode "ordinal", li&eacute;es aux aspects structurel et descriptif, qui dominent. Alors que le diagramme circulaire est caract&eacute;ris&eacute; surtout par les difficult&eacute;s engendr&eacute;es par son r&ocirc;le<br>destructeur, d&ucirc; &agrave; la domination de ses aspects iconique et spatial et &agrave; leur interference avec les constituants du contexte de la situation.
  • Author(s):
    Lewis, C.
    Year:
    2000
    Abstract:
    The overview that I will provide is based on approximately 75 interviews with Japanese elementary classroom teachers and administrators, and 40 observations of research lessons that more than 30 schools in different regions of Japan, including many ordinary public schools in both low-income and middle-income neighbohoods, and six nationaol public schools. I videotaped many of these lessons for analysis. I speak and read Japanese, so the interviews were conducted in Japanese.
  • Author(s):
    von Harten, G., &amp; Steinbring, H.
    Year:
    1986
    Abstract:
    This paper discusses the dilemma in the cooperation between teachers and scientists and introduces the cooperative project which should help to improve the understanding between them.
  • Author(s):
    Arthur Bakker;&nbsp;Jan Derry
    Year:
    2011
    Abstract:
    This theoretical paper relates recent interest in informal statistical inference (ISI) to the semantic theory termed inferentialism, a significant development in contemporary philosophy, which places inference at the heart of human knowing. This theory assists epistemological reflection on challenges in statistics education encountered when designing for the teaching or learning of ISI. We suggest that inferentialism can serve as a valuable theoretical resource for reform efforts that advocate ISI. To illustrate what it means to privilege an inferentialist approach to teaching statistics, we give examples from two sixth-grade classes (age 11) learning to draw informal statistical inferences while developing key concepts such as center, variation, distribution, and sample without losing sight of problem contexts.
  • Author(s):
    Fidler, F., Cumming, G.
    Year:
    2007
    Abstract:
    Compelling arguments for reform of statistical practices have been made in many disciplines, in some cases over several decades, but achieving reform has proved difficult. We discuss how reform has progressed - or not progressed - in psychology, medicine, and ecology and describe case studies of attempts by pioneering journal editors to change statistical practices. Lessons for those seeking reform in education include the need to recognize the importance of journal editors and of provision of articles, books, and software that give practical guidance to researchers wishing to use the recommended statistical techniques. Research is required on recommended techniques so that statistical practice can become evidence based. Also, improvement in statistical practice should be encouraged along with improvement in the way a discipline theorizes.
  • Author(s):
    DA SILVA NASCIMENTO, Maria Manuel and DOS SANTOS VAZ MARTINS, Jos&eacute;
    Year:
    2007
    Abstract:
    We believe that without the participation from students, effective learning will not be achieved. So, last year (2005/2006) we have tried to improve students learning in statistics using different assessment tools. Here we will present the proposal we have made to the students and we will discuss the results of one of the tasks we have proposed to them. Finally, we will also discuss the effect of our proposal to improve student's learning in statistics
  • Author(s):
    Joiner, B. L.
    Year:
    1988
    Abstract:
    We statisticians have an opportunity to help our nation regain a leadership role in international markets, but we will have to change the way we teach statistics before we can do our part. I have some suggestions for changes in how we teach Statistics 101.
  • Author(s):
    Shaw, J. M.
    Year:
    1984
    Abstract:
    Experiences in collecting and handling data are described. Activities dealing with measures of central tendency (including a computer program), measures of dispersion, an introduction to correlation, and use of graphs to display data are illustrated. (MNS)

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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

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