支持大学研究的基于结果的统计能力发展计划

Q3 Social Sciences
Enriqueta D. Reston, E. S. Poliquit
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引用次数: 1

摘要

本文讨论了专业发展所需的基础设施的关键组成部分,以更有效地教授和学习研究和统计方法。特别是,提出了一种跨学科的在职模式,它有可能更好地为教育工作者做好准备,在资源日益减少的情况下解决机构的具体需求。特别是,我们提出了一个基于结果的模型,用于发展研究中的统计能力,以响应学术界培训统计学家的需要。该方案的目的是使选定的教员具备必要的能力,以便根据菲律宾一所大型私立大学的研究、推广和出版任务,提供各种形式的统计支助服务。该方案分三个阶段实施:(1)培训阶段;(2)统计咨询和指导阶段;(3)“级联或扩展”阶段。对结果的评价包括参与者通过在级联活动期间担任资源人员来展示对各种统计方法的学习,并记录方案期间所取得的统计咨询经验。首次发表于2020年2月的《统计教育研究期刊档案》
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AN OUTCOME-BASED STATISTICAL CAPACITY DEVELOPMENT PROGRAMME TO SUPPORT RESEARCH AT A UNIVERSITY
This paper addresses a critical component of the infrastructure necessary for professional development toward more effective teaching and learning of research and statistical methods. In particular, an interdisciplinary in-service model is proposed, which has the potential to better prepare educators to address institution-specific needs amidst dwindling resources. In particular, we present an outcome-based model for developing statistical capacity in research in response to the need for training statisticians in the academia. The aim of the programme was to equip selected faculty with the competencies needed to provide various forms of statistical support services in line with the research, extension, and publication mandate of a large private university in the Philippines. The programme was administered in three phases: (1) training phase, (2) statistical consulting and mentoring phase, and (3) “cascading or extension” phase. Evaluation of the outcome involves participants’ demonstration of learning in various statistical methods through serving as resource persons during the cascading activity and the documentation of the statistical consulting experiences made during the programme. First published February 2020 at Statistics Education Research Journal Archives
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来源期刊
Statistics Education Research Journal
Statistics Education Research Journal Social Sciences-Education
CiteScore
1.30
自引率
0.00%
发文量
46
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.
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