Jane Watson, Noleine Fitzallen, Suzie Wright, Ben Kelly
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引用次数: 5
Abstract
STEM learning experiences at the school level provide both opportunities and challenges for exploring students’ understanding of statistical concepts. This report focuses on data handling and informal inference embedded in a STEM context, that is, of testing, adjusting, and retesting catapults. In particular, the learning goal was for Grade 4 (aged 9–10 years) students to build on their developing understanding of variation while learning about the science topic of force as demonstrated by two configurations of catapults causing ping pong balls to be launched different distances. This report focuses on the students’ experiences of variation that were associated with the activity from a structural perspective during implementation. The analysis, employing various aspects of the Structure of Observed Learning Outcomes, points to the potential contribution of multimodal functioning in identifying and characterizing understanding of variation in a new context. The activity took place with 50 students in two classes with data collected from student workbooks. Results suggest that meaningful engagement with context can provide support for developing understanding of the concept of variation.
期刊介绍:
SERJ is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). SERJ is published twice a year and is free. SERJ aims to advance research-based knowledge that can help to improve the teaching, learning, and understanding of statistics or probability at all educational levels and in both formal (classroom-based) and informal (out-of-classroom) contexts. Such research may examine, for example, cognitive, motivational, attitudinal, curricular, teaching-related, technology-related, organizational, or societal factors and processes that are related to the development and understanding of stochastic knowledge. In addition, research may focus on how people use or apply statistical and probabilistic information and ideas, broadly viewed. The Journal encourages the submission of quality papers related to the above goals, such as reports of original research (both quantitative and qualitative), integrative and critical reviews of research literature, analyses of research-based theoretical and methodological models, and other types of papers described in full in the Guidelines for Authors. All papers are reviewed internally by an Associate Editor or Editor, and are blind-reviewed by at least two external referees. Contributions in English are recommended. Contributions in French and Spanish will also be considered. A submitted paper must not have been published before or be under consideration for publication elsewhere.