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Dive into the research topics where Nancy C. Lavigne is active.

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Featured researches published by Nancy C. Lavigne.


The Journal of Mathematical Behavior | 1995

Empowering children in the use of statistics

Susanne P. Lajoie; Victoria R. Jacobs; Nancy C. Lavigne

Abstract Statistics pervade our society, yet the understanding of statistics has remained the domain of a select few. Although the majority of the literature has focused on the adult learner, there is a movement toward teaching statistics to children. This article addresses the ways in which the study of statistics has been examined in the elementary and secondary schools in terms of content, readiness of children to learn, pedagogy, and assessment. A proposal is presented of how a cognitive apprenticeship model can be developed from the empirical research findings in order to build more effective instructional and assessment methods for statistics education.


Archive | 2013

Introduction to Emerging Technologies for the Classroom: A Learning Sciences Perspective

Chrystalla Mouza; Nancy C. Lavigne

This chapter provides a historical overview of the role of technology in schools and describes strategies used to address technological innovations in school settings. Four types of emerging technologies are then introduced: (a) technologies that support learning to understand and create; (b) technologies that support learning by collaborating; (c) technologies that support anytime, anyplace learning; and (d) technologies that support learning by gaming. A summary of each chapter presented in this volume is also provided. The chapter concludes with thoughts on future directions of emerging technologies.


Journal of Experimental Education | 2014

Promoting College Students’ Problem Understanding Using Schema-Emphasizing Worked Examples

Jie Yan; Nancy C. Lavigne

Statistics learners often bypass the critical step of understanding a problem before executing solutions. Worked-out examples that identify problem information (e.g., data type, number of groups, purpose of analysis) key to determining a solution (e.g., t test, chi-square, correlation) can address this concern. The authors examined the effectiveness of 3 kinds of worked examples on 96 college students’ problem understanding based on their problem categorizations and explanations: correct schema, contrasting schema (correct and incorrect features), and no schema (traditional solution-only examples). The contrasting- and correct-schema examples were more effective than were the no-schema examples—but neither schema was more effective than the other—in helping students construct accurate and complete problem schemata where data type and number of groups were prominently featured.


Archive | 2013

Epilogue: Designing and Integrating Emerging Technologies for Learning, Collaboration, Reflection, and Creativity

Nancy C. Lavigne; Chrystalla Mouza

We live in an increasingly complex and rapidly changing world where technology is an integral and pervasive part of our everyday lives. Technology can expose us to complexity and open up new worlds for us to explore, offering opportunities for academic, personal, and professional growth. Technology can also be designed and integrated to support us in navigating demanding environments, working with challenging ideas, interacting and collaborating with others, building communities that enable us to develop in various ways, and creating meaningful and innovative products. In essence, the potential of technology for transforming lives depends in part on how designers, teachers, and learners conceive of it as fulfilling their needs and enabling them to meet their goals.


Contemporary Educational Psychology | 2007

Statistical Reasoning of Middle School Children Engaged in Survey Inquiry.

Nancy C. Lavigne; Susanne P. Lajoie


Archive | 2012

Emerging Technologies for the Classroom: A Learning Sciences Perspective

Chrystalla Mouza; Nancy C. Lavigne


Archive | 2013

Emerging Technologies for the Classroom

Chrystalla Mouza; Nancy C. Lavigne


The Journal of Mathematical Behavior | 2008

Exploring College Students' Mental Representations of Inferential Statistics.

Nancy C. Lavigne; Sara J. Salkind; Jie Yan


Archive | 2002

FACTORS AFFECTING STUDENT DECISION-MAKING ON STATISTICS PROJECTS

Nancy C. Lavigne; Susanne P. Lajoie


The Mathematics Teacher | 1996

Implementing the Assessment Standards for School Mathematics: Communicating Performance Criteria to Students through Technology

Nancy C. Lavigne; Susanne P. Lajoie

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Jie Yan

University of Delaware

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Victoria R. Jacobs

University of Wisconsin-Madison

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