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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
van Halem, Nicolette; Cornelisz, Ilja; Daly, Alan; van Klaveren, Chris – International Journal of Research & Method in Education, 2023
In educational contexts where many domains subject to improvement are interdependent and causal evidence is frequently lacking it is difficult, if not impossible, for policymakers and educational practitioners to decide which domain should be invested in. This paper proposes a new method that uses Conditional Mean Independent Correlations (CMIC)…
Descriptors: Educational Improvement, Evaluation Methods, Decision Making, Growth Models
Office of Finance and Operations, US Department of Education, 2023
The purpose of the U.S. Department of Education's (Department's) fiscal year (FY) 2022 "Agency Financial Report" (AFR) is to inform Congress, the President, other external stakeholders, and the American people on how the Department used the federal resources entrusted to it to advance the mission of the Department to promote student…
Descriptors: Public Agencies, Federal Government, Institutional Mission, Educational Finance
Office of Finance and Operations, US Department of Education, 2023
The purpose of the U.S. Department of Education's (Department's) fiscal year (FY) 2023 "Agency Financial Report" (AFR) is to inform Congress, the President, other external stakeholders, and the American people on how the Department used the federal resources entrusted to it to advance the mission of the Department to promote student…
Descriptors: Public Agencies, Federal Government, Institutional Mission, Educational Finance
Diana Louise Nestico-Arnold – ProQuest LLC, 2023
Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…
Descriptors: Progress Monitoring, Reading Achievement, Data Use, Decision Making
Hardy, Ian; Melville, Wayne – Power and Education, 2019
This article reveals the multifaceted ways in which policy enactment was expressed as praxis in the context of assessment reform in Ontario, Canada. The research explores the way in which the Growing Success assessment policy was interpreted variously by different educators occupying senior roles within the district office in a single school…
Descriptors: Foreign Countries, Educational Policy, Educational Assessment, Praxis
Dunn, Karee E.; Skutnik, Anne; Patti, Christine; Sohn, Brian – Action in Teacher Education, 2019
The purpose of this qualitative study was to explore how pre-service teachers perceive, understand, and feel about Data-driven decision making (DDDM), as well as the impact of targeted, persuasive instruction on those constructs. According to conceptual change theory, learners sometimes hold knowledge, feelings, and beliefs that may be…
Descriptors: Attitude Change, Data Use, Preservice Teachers, Student Attitudes
Schildkamp, Kim – Educational Research, 2019
Background: Data-based decision-making in education often focuses on the use of summative assessment data in order to bring about improvements in student achievement. However, many other sources of evidence are available across a wide range of indicators. There is potential for school leaders, teachers and students to use these diverse sources…
Descriptors: Data Use, School Effectiveness, Educational Improvement, Formative Evaluation
Herodotou, Christothea; Rienties, Bart; Boroowa, Avinash; Zdrahal, Zdenek; Hlosta, Martin – Educational Technology Research and Development, 2019
By collecting longitudinal learner and learning data from a range of resources, predictive learning analytics (PLA) are used to identify learners who may not complete a course, typically described as being at risk. Mixed effects are observed as to how teachers perceive, use, and interpret PLA data, necessitating further research in this direction.…
Descriptors: Prediction, Learning Analytics, Teacher Role, Teacher Attitudes
Bom, Peter L.; Koopman, Maaike; Bijaard, Douwe – European Journal of STEM Education, 2019
In this study, student teachers explored four data collection methods for data feedback to improve their teaching skills in Science and Technology [S&T]. The aim was to verify whether these methods were suitable for collecting data concerning their teaching skills during S&T activities in their internships. They analysed the collected data…
Descriptors: Student Teachers, Data Use, Feedback (Response), Teacher Improvement
Orchard, Ryan K. – Journal of Educational Technology Systems, 2019
Learning management systems (LMS) allow for a variety of ways in which online multiple-choice assessments ("tests") can be configured, including the ability to allow for multiple attempts and options for which of and how the attempts will count. These options are usually chosen according to the instinct of the instructor; however, LMS…
Descriptors: Integrated Learning Systems, Data Use, Electronic Learning, Assignments
Wilson, Duncan – ProQuest LLC, 2019
Current research into data use suggests that the intersection of assessment, reform, and public accountability and their impact on teacher practice are under-conceptualized and not well researched, especially when the data are derived from assessments that are locally produced by teachers. This qualitative case study investigates the development…
Descriptors: Data Use, Public School Teachers, Suburban Schools, Educational Practices
Newton, Leigh Anne – ProQuest LLC, 2019
This applied research study seeks to improve principal capacity as instructional leaders. The need for principals to increase their instructional leadership capacity became evident with the ever-changing requirements of state accountability and student achievement. Using four elements in this study, cohort-based professional development for…
Descriptors: Instructional Leadership, Management Development, Principals, School Districts
Wilson, Marnie – BU Journal of Graduate Studies in Education, 2016
Despite wanting to make data-informed decisions, the educational system is experiencing the common problem of being data rich yet information poor. Educators have data, often a plethora of data; however, the system struggles to turn that data into effective action. Rising out of information poverty requires three shifts. First, the educational…
Descriptors: Decision Making, Data, Evidence Based Practice, Educational Improvement
Greenspan, Scott B.; Whitcomb, Sara; Gordon, Kelsey L.; Hayden, Laura; Lauterbach, Alexandra; Fefer, Sarah; Griffith, Catherine – International Journal of School & Educational Psychology, 2022
Literature continues to suggest that physical activity is a viable modality in promoting positive mental health outcomes among youth. School psychologists may be well-positioned to incorporate physical activity within school-based mental health intervention service delivery. This study explores school psychologists' perspectives of using physical…
Descriptors: Physical Activities, Mental Health, School Psychologists, School Health Services