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Kayla Marcotte; Phillip Yang; M. Andrew Millis; Christian J. Vercler; Stefanie S. Sebok-Syer; Andrew E. Krumm; Brian C. George – Advances in Health Sciences Education, 2025
Learning analytics are increasingly used in medical education to analyze data and make decisions about learners' abilities. While there are many potential benefits of using learning analytics to drive improvement in medical education, there are also ethical concerns surrounding how this may affect learners and their patients. We conducted a…
Descriptors: Learning Analytics, Medical Education, Data Use, Reliability
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Jingping Sun; Jiangang Xia; Cheng Hua; Kaiwen Man; Bob L. Johnson Jr. – Educational Administration Quarterly, 2024
Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…
Descriptors: Psychometrics, Data Use, Leadership, Surveys
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Hamilton, Valerie; Onder, Yasemin; Andzik, Natalie R.; Reeves, Todd D. – Journal of Psychoeducational Assessment, 2022
Teacher data-driven decision making (DDDM) is a professional practice of great prominence in the current K-12 education system. Moreover, teacher self-efficacy and anxiety around DDDM represent important measurement targets in both research and practice. This study consequently examined the validity, reliability, and invariance of data collected…
Descriptors: Data Use, Decision Making, Anxiety, Self Efficacy
Villence Buchanan – ProQuest LLC, 2021
Educators and community members in the Cayman Islands are subjected to school inspections that are based on the United Kingdom model for inspecting schools. This model has not been tested to determine its appropriateness for use in a Caribbean education setting. The purpose of this study was to explore the perceptions of educators and community…
Descriptors: Foreign Countries, Inspection, Schools, Teacher Attitudes
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Dunn, Karee E.; Airola, Denise T.; Hayakawa, Takuya – Current Issues in Education, 2020
In this study, teacher education students' concerns, sense of efficacy, and anxiety related to the future use of data to drive educational decision-making were explored. In alignment with prior research with practicing teachers, this sample of pre-service teachers reported concerns (thoughts, preoccupations, and feelings) that indicate they are…
Descriptors: Preservice Teachers, Self Efficacy, Anxiety, Student Attitudes
Peltzman, Alissa; Curl, Cory – Council of Chief State School Officers, 2019
State and school report cards provide a powerful avenue for states to reach families and the broader public as essential partners in improving student outcomes. The federal Every Student Succeeds Act (ESSA) and many state legislatures require states to publish an array of education data including measures at the state, district, and school levels.…
Descriptors: Data Use, Educational Improvement, Equal Education, Decision Making
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2019
This Working Paper explores the extent to which learning assessment data influence education policymaking according to the available literature. It presents the key conclusions arising from this literature as well as problematic issues which are still open for discussion. It is based on a broader literature review conducted by the UNESCO…
Descriptors: Data Use, Educational Assessment, Educational Policy, Policy Formation
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Campbell-Montalvo, Rebecca A. – Race, Ethnicity and Education, 2020
In this study on K-12 schools in the U.S. Florida Heartland, I take a QuantCrit approach to uncover how processes of data transformation, which I call 'racial re-formation', shape the utilization and reporting of racial and ethnic representations of students. To understand actual data use at schools, I apply QuantCrit's principles on how numbers…
Descriptors: Elementary Secondary Education, School Demography, Race, Ethnicity
Schweig, Jonathan; McEachin, Andrew; Kuhfeld, Megan; Mariano, Louis T.; Diliberti, Melissa Kay – RAND Corporation, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
Jonathan Schweig; Andrew McEachin; Megan Kuhfeld; Louis T. Mariano; Melissa Kay Diliberti – Grantee Submission, 2021
The novel coronavirus disease 2019 (COVID-19) pandemic has created an unprecedented set of obstacles for schools and exacerbated existing structural inequalities in public education. In spring 2020, as schools went to remote learning formats or closed completely, end-of-year assessment programs ground to a halt. As a result, schools began the…
Descriptors: Student Placement, COVID-19, Pandemics, Student Characteristics
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Lin, Shuqiong; Luo, Wen; Tong, Fuhui; Irby, Beverly J.; Alecio, Rafael Lara; Rodriguez, Linda; Chapa, Selena – Cogent Education, 2020
Student learning objectives (SLOs) have become an increasingly popular tool for teacher evaluations as an alternative to Value-added Models (VAMs). However, the use of SLOs faces two major challenges. First, the target setting is mostly subjective and arbitrary. Second, there is little evidence on the reliability and validity of the tool. In this…
Descriptors: Student Educational Objectives, Teacher Evaluation, Data Use, Academic Achievement
Advance CTE: State Leaders Connecting Learning to Work, 2020
One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…
Descriptors: Vocational Education, Youth Programs, Apprenticeships, Data Collection