The Collaborative Use of Programmatic Data in Efforts to Support Teacher Candidate Development

Author:

Zimmerman Aaron Samuel1

Affiliation:

1. Texas Tech University, USA

Abstract

Educational leaders and teacher educators face a very real dilemma within the current teacher education policy context, as there currently exist numerous accreditation and accountability mandates for which teacher education programs are responsible. Many of these accountability pressures require teacher educators and teacher education programs to provide evidence of consistent data use for continuous program improvement. Teacher education programs are also increasingly responsible for providing evidence-based measures of the quality of their teacher candidates. These data-driven expectations can create additional pressures, stresses, and workload responsibilities for teacher educators and teacher education program leaders. By drawing on the lessons learned from three exemplary teacher education programs, this chapter will discuss the benefits and the challenges related to organizing collaborative data use efforts within teacher education programs for the purpose of fostering teacher candidate development.

Publisher

IGI Global

Reference56 articles.

1. Teacher candidate performance assessments: Local scoring and implications for teacher preparation program improvement

2. The challenges of scaling-up and sustaining professional development school partnerships

3. Beyond the scores: Using candidate responses on high stakes performance assessment to inform teacher preparation for English learners.;G. C.Bunch;Issues in Teacher Education,2009

4. Learning across discipline boundaries through narrative inquiry: A study of collaboration to improve mathematics teacher education.;E.Butler;Mathematics Teacher Education and Development,2019

5. Developing and assessing beginning teacher effectiveness: the potential of performance assessments

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3