What teachers think about what they can do with data: Development and validation of the data driven decision-making efficacy and anxiety inventory

Dunn, Karee E.; Airola, Denise T.; Lo, Wen‐Juo; Garrison, M. E. Betsy

doi:10.1016/j.cedpsych.2012.11.002

Cited by 62 publications

(84 citation statements)

References 42 publications

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“…A substantial proportion of the studies' results indicate different barriers to and difficulties in engaging teachers, and often explore ways to motivate teachers. An important part of the results presented in many of the studies points to and/or discusses aspects of teachers' lack of competence in using data (Dunn, Airola, Lo, & Garrison, 2013;Klenowski & Wyatt-Smith, 2012;Parr & Timperley, 2008). Few studies address the more complex issues regarding why this is a challenge.…”

Section: Studies Published In Englishmentioning

confidence: 99%

Investigative modes in research on data use in education

Prøitz

Mausethagen

Skedsmo

2017

Nordic Journal of Studies in Educational Policy

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This article reports on the findings from a literature review of research on data use in education published in English, German and Scandinavian languages. The review is inspired by methods for systematic mapping. The analysis illustrates how the characteristics of the total corpus of 129 articles on data use in education vary across different contexts, countries and regions. In all contexts, the studies primarily investigate structures and systems around data use. While the Anglophone studies are mainly empirical and often concerned with implementation and effectiveness in terms of data use, the studies published in German and Scandinavian languages focus more heavily on discussions and analytical reflections upon the developments of data use in education. Six investigative modes of studies on data use that can contribute to creating a more nuanced understanding of research on data use in education are identified, presented and discussed. ARTICLE HISTORY

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Section: Studies Published In Englishmentioning

confidence: 99%

Investigative modes in research on data use in education

Prøitz

Mausethagen

Skedsmo

2017

Nordic Journal of Studies in Educational Policy

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“…A five-point scale (1=strongly disagree/don't use, to 5= strongly agree/use) was used. (Kumar et al, 2013) Types of data: Transactional data, marketing data, firm data, historical data (Talón-Ballestero et al, 2014;Kumar et al, 2013;Magnini et al, 2003) Distribution methods (Kimes, 2011) Section Two: Assessing managers' concerns about using datadriven decision-making (Power, 2008;Mandinach et al, 2006;Dunn et al, 2013a, Dunn et al, 2013bHarvard Business Review Analytic Services Report, 2012;Brynjolfsson et al, 2011;Kimes, 2011) Pricing decisions (Talón-Ballestero et al, 2014)…”

Section: Figure 2: Conceptual Framework For Data-driven Decision-makimentioning

confidence: 99%

Integrating Data-Driven Decision-Making in the Egyptian Hotel Industry: Revenue Management Perspective

Abdel-Aal

2017

Journal of Association of Arab Universities for Tourism and Hos

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This study presents a new model of intelligent pricing that concentrates on using data-driven decisionmaking (DdDM) as a new approach to hotel revenue management (RM). The study aims to assess the role of DdDM in leveraging hotel RM. The results were divided into three main parts. First, the findings indicated that (traditional data) observations, focus groups and structured interviews achieved the highest manager perceptions degrees, respectively. It is noted that (Digital data) electronic surveys, search engine queries and click stream approximately represent high degrees of perception, respectively. Eye-tracking data represents higher degrees of perception than facial electromyography one. Second, transactional, historical and marketing data approximately represent high degrees of manager perceptions, respectively. Also, hotel distribution sources revealed of the approximately perception to all sources. It was noted that hotel Res centers, integration with Res system, global distribution system and hotel website represent the highest degrees, respectively. Third, there was no significant relation between sources of data and using data-driven decision-making. On the other hand, the types of data, hotel distribution sources and managers' concerns about DdDM have positive and moderate relations with using DdDM. The results showed also, in line with expectations, a significant and positive correlation between using DdDM as an intermediate variable and pricing decisions.

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“…The DDDM efficacy and anxiety (3D-MEA) inventory (Dunn et al, 2013) is an instrument that was developed and validated for use with K-12 teachers who have diverse experiences in DDDM. Using a five-point Likert scale ranging from 1 to 5 (1 = Strongly Disagree, 2 = Disagree, 3 = Neither Agree nor Disagree, 4 = Agree, 5 = Strongly Agree), this 20-item instrument measures teacher DDDM efficacy and anxiety at the classroom level.…”

Section: Survey Datamentioning

confidence: 99%

Soft Skills Identification for Guidance and Job Placement: Presentation of the Project UNIMC (Macerata University) for Soft Skills

Nicolini¹,

Attili²,

Corinaldi³

et al. 2016

jcepd

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Standardized testing and the implementation of the Common Core State Standards has brought the importance of data literacy and data driven decision making (DDDM) to the forefront of district professional development needs. Many states currently require school districts to collect student performance data in the pursuit of increasing student achievement. However, most school districts do not have a clear vision for how these data will be used to inform and improve instruction (Creighton, 2006). Moreover, few educators have been trained in DDDM. In this paper, we share our insights and experiences in designing and providing professional development for teams of teachers and administrators in order to establish, support and sustain a data-driven culture within their schools and districts. We begin by discussing the need for DDDM, continue by describing the process of designing and implementing training opportunities for educators, and conclude with a discussion and evaluation of the initiative's success. This research offers practical suggestions for creating a culture of DDDM within schools and districts. Our insights provide important direction for university faculty and school district administration as they seek to develop partnerships where university providers design professional development and outreach opportunities that support student learning.

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What teachers think about what they can do with data: Development and validation of the data driven decision-making efficacy and anxiety inventory

Cited by 62 publications

References 42 publications

Investigative modes in research on data use in education

Investigative modes in research on data use in education

Integrating Data-Driven Decision-Making in the Egyptian Hotel Industry: Revenue Management Perspective

Soft Skills Identification for Guidance and Job Placement: Presentation of the Project UNIMC (Macerata University) for Soft Skills

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