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Marily DeWall 《Journal of Science Education and Technology》2006,15(5-6):397-398
A Hand Up, Women Mentoring Women in Science is a 500-plus page compendium with nearly 60 contributors. The book is essential reading for every young woman considering a career in the sciences as well as for anyone established in her or his career who wants to reach out to assist the next generation of female scientists. Its examples and practical suggestions will help women form supportive communities with their counterparts and overcome many of the barriers placed in their paths toward professional growth. In short, the book offers assistance to young women entering careers in the science and technology fields and sustenance for those who support them.Marily DeWall is the former Director of the Jason Academy and Professional Learning at the Jason Foundation for Education. In this capacity, she created and oversaw an extensive online professional development program designed for elementary and middle school teachers of science and mathematics. Prior to coming to the Jason Foundation, Ms. DeWall worked for more than 20 years for the National Science Teachers Association serving in various capacities, including Associate Executive Director, editor of Science Scope magazine, and director of government and corporate-funded programs. She was the creator and director of several national science education programs that are ongoing, including ExploraVision, Tapestry Grants for Teachers, and Building a Presence for Science. Ms. DeWall is the author of numerous articles, the editor of several publications, and is a frequent presenter at national and state education meetings. 相似文献
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Kun Yuan Jeffrey Steedle Richard Shavelson Alicia Alonzo Marily Oppezzo 《Educational Research Review》2006,1(2):83-98
A review of the history of working memory (WM) studies finds that the concept of WM evolved from short-term memory to a multi-component system. Comparison between contemporary WM models reveals: (1) consensus that the content of WM includes not only task-relevant information, but also task-irrelevant information; (2) consensus that WM consists of phonological and visuospatial components; (3) consensus that short-term memory storage is a function of WM; (4) disagreement as to whether an independent executive control is a necessary WM component; and (5) disagreement as to whether the control function is active or passive. Methods for measuring WM differed across studies with a preponderance of various dual-tasks; little psychometric work has been done on these measures. Correlational studies supported a close relationship between WM and measures of fluid intelligence and science achievement, but we found no experimental studies on the impact of WM training on science achievement. Finally we suggest how WM research findings may be applied to improve fluid intelligence and science achievement. 相似文献
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Catherine C. Chase Doris B. Chin Marily A. Oppezzo Daniel L. Schwartz 《Journal of Science Education and Technology》2009,18(4):334-352
Betty’s Brain is a computer-based learning environment that capitalizes on the social aspects of learning. In Betty’s Brain, students instruct a character called a Teachable Agent (TA) which can reason based on how it is taught. Two studies demonstrate the protégé effect: students make greater effort to learn for their TAs than they do for themselves. The first study involved 8th-grade students learning biology. Although all students worked with the same Betty’s Brain software, students in the TA condition believed they were teaching their TAs, while in another condition, they believed they were learning for themselves. TA students spent more time on learning activities (e.g., reading) and also learned more. These beneficial effects were most pronounced for lower achieving children. The second study used a verbal protocol with 5th-grade students to determine the possible causes of the protégé effect. As before, students learned either for their TAs or for themselves. Like study 1, students in the TA condition spent more time on learning activities. These children treated their TAs socially by attributing mental states and responsibility to them. They were also more likely to acknowledge errors by displaying negative affect and making attributions for the causes of failures. Perhaps having a TA invokes a sense of responsibility that motivates learning, provides an environment in which knowledge can be improved through revision, and protects students’ egos from the psychological ramifications of failure. 相似文献
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Doris B. Chin Ilsa M. Dohmen Britte H. Cheng Marily A. Oppezzo Catherine C. Chase Daniel L. Schwartz 《Educational technology research and development : ETR & D》2010,58(6):649-669
One valuable goal of instructional technologies in K-12 education is to prepare students for future learning. Two classroom
studies examined whether Teachable Agents (TA) achieves this goal. TA is an instructional technology that draws on the social
metaphor of teaching a computer agent to help students learn. Students teach their agent by creating concept maps. Artificial
intelligence enables TA to use the concept maps to answer questions, thereby providing interactivity, a model of thinking,
and feedback. Elementary schoolchildren learning science with TA exhibited “added-value” learning that did not adversely affect
the “basic-value” they gained from their regular curriculum, despite trade-offs in instructional time. Moreover, TA prepared
students to learn new science content from their regular lessons, even when they were no longer using the software. 相似文献
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