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随着全球数字经济的蓬勃发展，数据日益成为重要战略资源和新型生产要素，对领导者的任务和能力要求带来了革命性变化，数据领导力的概念应运而生。研训者作为我国教师专业发展的引领者和指导者，只有具备一定的数据领导力才能更加从容地应对数字时代给教育教学和教师发展带来的全新挑战。科学测评是高质高效进行能力培养和发展的先决条件，但目前我国尚缺乏具有指导性的研训者数据领导力测评模型。基于此，该研究遵循教育测评模型构建的一般范式，通过厘清研训者数据领导力的内涵特征，从理论思辨与实证分析两方面构建了包含数据使用规划、数据探究指导、数据文化建设等3个一级指标、13个二级指标的研训者数据领导力测评模型。实证检验结果表明，该测评模型具有较好的可行性和有效性，可以为科学精准测评研训者的数据领导力水平提供理论指导。最后，基于我国研训者数据领导力的现状水平和存在问题，该研究从多智力投入、多角色参与、多场景构建三个方面提出了具体的对策建议。
Abstract：With the vigorous development of the global digital economy, data has increasingly become an important strategic resource and new production factor, bringing revolutionary changes to the tasks and competence requirements of leaders. The concept of data leadership has emerged as the times require. As leaders and guides in the professional development of teachers in China, teacher trainers must possess a certain level of data leadership in order to calmly respond to the new challenges brought by the digital age to teaching and teacher development. Scientific assessment is a prerequisite for high-quality and efficient competence cultivation and development, but currently there is a lack of guiding data leadership assessment models for teacher trainers in China. Based on this, this study follows the general paradigm of constructing educational assessment models. By clarifying the connotation and characteristics of data leadership of teacher trainers, a data leadership assessment model for teacher trainers was constructed from two aspects: theoretical speculation and empirical analysis, which includes three primary indicators such as data use planning, data exploration guidance, and data culture construction, as well as 13 secondary indicators. The empirical test results indicate that the assessment model has good feasibility and effectiveness, and can provide theoretical guidance for scientifically and accurately evaluating the data leadership level of teacher trainers. Finally, based on the current level and existing problems of data leadership among teacher trainers in China, this study proposes specific suggestions from three aspects: multi intellectual investment, multi role participation, and multi scenario construction.
[1]习近平.高举中国特色社会主义伟大旗帜为全面建设社会主义现代化国家而团结奋斗--在中国共产党第二十次全国代表大会上的报告[EB/OL].http://www.gov.cn/xinwen/2022-10/25/content_5721685.htm,2023-05-25.
[2][9][20]杨鑫,苟睿等.校长数据领导力:落实国家教育数字化战略的关键能力[J].中国电化教育,2023,(5):65-73.
[3]李辉,赵家正.领导干部数据领导力指标体系建构及其应用价值分析[J].领导科学,2021,(12):53-56.
[4][12]张世昌,商容轩等.“变”与“不变”:大数据时代数据领导力提升策略的双重建构[J].理论探讨,2022,(3):104-109.
[5]贺晓丽.如何提升领导干部数据领导力[J].中国党政干部论坛,2021,(8):78-81.
[6][33]Marsh J A,Farrell C C.How leaders can support teachers with data-driven decision making:A framework for understanding capacity building[J].Educational Management Administration&Leadership,2015,(2):269-289.
[7]Schildkamp K,Poortman C.Factors influencing the functioning of data teams[J].Teachers college record,2015,117(4):1-42.
[8][21]林琦.数据领导力:内涵特质、结构模型与实践路径[J].电化教育研究,2023,44(4):110-116.
[10]郑鑫.从数据到证据:数据运用如何影响教师专业学习[J].全球教育展望,2021,50(3):75-90.
[11]Roegman R,Perkins-Williams R,et al.Developing data leadership:Contextual influences on administrators’data use[J].Journal of Research on Leadership Education,2018,13(4):348-374.
[13]闫境华,石先梅.数据生产要素化与数据确权的政治经济学分析[J].内蒙古社会科学,2021,42(5):113-120.
[14]赵家正,李辉.公安机关大数据领导力及其提升策略研究[J].智库理论与实践,2021,6(3):37-44.
[15]Mingchu L.Structural equation modeling for high school principals’datadriven decision making:An analysis of information use environments[J].Educational Administration Quarterly,2008,44(5):603-634.
[16]Wayman J C,Wilkerson S B,et al.Guide to using the Teacher?Data Use Survey[EB/OL].https://files.eric.ed.gov/fulltext/ED569169.pdf,2023-10-10.
[17]Wisconsin Department of Public Instruction.Data-Informed Leadership[EB/OL].https://dpi.wi.gov/wisexplore/data-informedleadership,2023-10-03.
[18][26]Hoogland I,Schildkamp K,et al.Prerequisites for data-based decision making in the classroom:Research evidence and practical illustrations[J].Teaching and Teacher Education,2016,60:377-386.
[19]Reeves T D,Summers K H,et al.Examining the landscape of teacher learning for data use:The case of Illinois[J].Cogent Education,2016,3(1):1211476.
[22]丁波涛.大数据领导力的“五力”模型研究[J].上海城市管理,2019,28(4):40-45.
[23]郭绍青,张绒等.“教-研-训”一体化教师培训实践模式与策略研究--以中国和联合国儿基会“灾区教师培训”项目为例[J].中国远程教育,2013,(3):88-92.
[24]王占发.促进研训教师专业发展的思考与实践[J].上海教育科研,2013,(6):75-77.
[25]王永军.面向教育4.0的创新发展：中小学校长信息化领导力框架之构建[J].远程教育杂志,2020,38(6):41-49.
[27]Wayman J C,Spring S D,et al.Using data to inform practice:Effective principal leadership strategies[C].Vancouver:the American Educational Research Association,2012.13-29.
[28]Schildkamp K,Poortman C L,et al.How school leaders can build effective data teams:Five building blocks for a new wave of data-informed decision making[J].Journal of Educational Change,2019,20(3):283-325.
[29]Leithwood K,Anderson S,et al.Leading data use in schools:Organizational conditions and practices at the school and district levels[J].Leadership and Policy in Schools,2010,9(3):292-327.
[30]Levin J A,Datnow A.The principal role in data-driven decision making:Using case-study data to develop multi-mediator models of educational reform[J].School Effectiveness and School Improvement,2012,23(2):179-201.
[31]吴明隆.结构方程模型--AMOS的操作与应用[M].重庆:重庆大学出版社,2007.42.
[32]Bolhuis E,Voogt J,et al.The development of data use,data skills,and positive attitude towards data use in a data team intervention for teacher educators[J].Studies in educational evaluation,2019,60:99-108.
[34]Nunnaley D.Professional development to build data literacy:The view from a professional development provider[J].The Journal of Educational Research&Policy Studies,2013,(2):39-49.
[35]Ebbeler J,Poortman C L,et al.The effects of a data use intervention on educators’satisfaction and data literacy[J].Educational Assessment,Evaluation and Accountability,2017,(29):83-105.
[36]Boudett K P,City E A,et al.Data wise:A step-by-step guide to using assessment results to improve teaching and learning[M].Cambridge,M.A.:Harvard Education Press,2005.108.
[37]Schildkamp K,Lai M K,et al.Data-based decision making in education:Challenges and opportunities[M].Heidelberg:Springer,2013.
基本信息:
中图分类号:G434;G451
引用信息:
[1]王巍,闫寒冰.研训者数据领导力测评模型构建与应用研究[J].中国电化教育,2024,No.445(02):8-15+60.
基金信息:
国家社会科学“十三五”规划2019年度教育学一般课题“面向工作胜任力的教师培训精准测评体系研究”(课题编号：BCA190083)研究成果
2024-02-07
2024-02-07