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Cohen, Jefna M. – Learning Professional, 2023
How does one overcome the challenges to finding time for meaningful professional learning? The authors asked seven experts in the field, and these practitioners offer powerful strategies for making better use of educator time. An example from Illinois centers student data in school systems as an essential component of a school's overall commitment…
Descriptors: Time on Task, Faculty Development, Educational Change, Data Use
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Jihyun Lee; Dennis Alonzo; Kim Beswick; Jan Michael Vincent Abril; Adrian W. Chew; Cherry Zin Oo – Educational Assessment, Evaluation and Accountability, 2024
The current study presents a systematic review of teachers' data literacy, arising from a synthesis of 83 empirical studies published between 1990 to 2021. Our review identified 95 distinct indicators across five dimensions: (a) knowledge about data, (b) skills in using data, (c) dispositions towards data use, (d) data application for various…
Descriptors: Research Reports, Data Analysis, Teacher Collaboration, Faculty Development
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Dogan, Emine – Journal of Theoretical Educational Science, 2023
This meta-analysis study aimed to examine the effect of data literacy education, which affects databased decision processes, on data use knowledge and skills of school administrators and teachers. Therefore, theses on data literacy education for school administrators and teachers and relevant studies in peer-reviewed journals were examined through…
Descriptors: Meta Analysis, Data Analysis, Information Literacy, Statistics Education
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Dodman, Stephanie L.; DeMulder, Elizabeth K.; View, Jenice L.; Stribling, Stacia M.; Brusseau, Rebecca – Journal of Educational Change, 2023
In current contexts of education, educators are tasked with using data, most often without any critical preparation to do so. In this way, data are presented as objective measures of student progress and participation in school without consideration of the systemic and structural influences on that progress and participation. This article reports…
Descriptors: Data Use, Decision Making, Equal Education, Educational Change
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Ansyari, Muhammad Fauzan; Groot, Wim; De Witte, Kristof – Journal of Professional Capital and Community, 2022
Purpose: Professional development interventions (PDIs) are crucial for equipping teachers to use data effectively. Relying on previous studies reporting on such interventions, this paper aims to identify and synthesise the goals, dimensions and conditions of PDIs for data use. This paper also examines the evidence of the effect of such…
Descriptors: Literature Reviews, Meta Analysis, Data Use, Faculty Development
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Supovitz, Jonathan A.; Comstock, Meghan – Leadership and Policy in Schools, 2023
This study focuses on the impacts of programs designed to develop and support teacher leaders to improve instruction in their schools. Using surveys of teachers in 45 schools in four districts and interview data, we found that the frequency of teachers' work with a teacher leader on professional growth, instructional planning, and…
Descriptors: Teacher Leadership, Instructional Improvement, Instructional Development, Observation
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Raffaghelli, Juliana E.; Grion, Valentina; de Rossi, Marina – Higher Education Quarterly, 2023
As the debate on data in the society and in education grows the attention on data-trace as 'primary material' for governance, educational quality and innovation falls under the spotlights. In this context, HEIs have been put under pressure to adopt quantitative metrics and evaluation approaches enhancing the massive collection of trace data.…
Descriptors: Higher Education, Universities, Data Use, Educational Assessment
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Chris Wilcoxen; Riley Newman; Morgan Wulff – Educational Process: International Journal, 2025
Background/Purpose: This study examines the use of the Interactive Growth Guide, a structured coaching tool, within a year-long high-intensity induction program for beginning teachers. Specifically, the study investigates how the Interactive Growth Guide was integrated into the mentoring relationship between a beginning teacher and her coach and…
Descriptors: Coaching (Performance), Mentors, Beginning Teachers, Beginning Teacher Induction
Schoepp, Rosemarie – ProQuest LLC, 2023
Data-driven decision making (DDDM) is an important teaching practice that can positively influence student achievement by using assessment data to make instructional decisions. The problem is that teachers do not always use this practice. Teachers' perspectives of DDDM can influence their data use practices. This basic qualitative study was…
Descriptors: Teacher Attitudes, Data Use, Instructional Design, Decision Making
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Erin Anderson; Samantha Davis – Journal of Educational Change, 2024
Coaching is a form of professional learning that can contextualize learning and personalize the development of knowledge and skills to improve professional practice and the student experience. Coaching for equity-oriented continuous improvement needs be defined differently than instructional coaching since the schools are focused on changing…
Descriptors: Coaching (Performance), Professional Continuing Education, Faculty Development, Educational Change
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Anderson, Billie; Marx, Dea; Cox, Kelline S.; McNeley, Kim; Filion, Diane L. – Assessment Update, 2023
The University of Missouri Kansas City (UMKC) is an urban research university with a special emphasis on fostering diversity. In 2021, the Center for Advancing Faculty Excellence created a Faculty Fellows program to develop comprehensive resources and support in four areas: teaching and learning, service and engagement, research and creativity,…
Descriptors: Data Use, Outcomes of Education, Program Effectiveness, Faculty Development
Michelle Wong – ProQuest LLC, 2023
Teacher data use is often centered around standardized testing. Such data use that is commonly centered on standardized tests and used during professional development does not necessarily transform teacher practice toward equity and fails to change teacher conceptualizations of students while also perpetuating inequitable practices. Conversely,…
Descriptors: Data Use, Standardized Tests, Faculty Development, Outcomes of Education
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Tom Manning – Learning Professional, 2024
The Standards Assessment Inventory (SAI) has provided relevant, educator-level data helping systems of all kinds -- states, districts, schools, provinces, and organizations -- gather and track data about the professional learning their educators experience. An online, confidential, valid, and reliable instrument administered to school-based…
Descriptors: Data Collection, Faculty Development, Program Improvement, Measures (Individuals)
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Peters-Burton, Erin; Rich, Peter Jacob; Kitsantas, Anastasia; Stehle, Stephanie M.; Laclede, Laura – Journal of Research in Science Teaching, 2023
In the United States, the Next Generation Science Standards advocate for the integration of computational thinking (CT) as a science and engineering practice. Additionally, there is agreement among some educational researchers that increasing opportunities for engaging in computational thinking can lend authenticity to classroom activities. This…
Descriptors: High School Teachers, Biology, Science Instruction, Computation
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Muhammad Fauzan Ansyari; Kristof De Witte; Wim Groot – Journal of Professional Capital and Community, 2024
Purpose: An evidence-based approach to improving instructional practices and student outcomes in data use. It is a systematic process of evaluating and analysing learning problems, collecting and transforming various types of data into instructional decisions, and implementing informed actions to improve instruction and student learning. Since…
Descriptors: Data Use, Educational Practices, Higher Education, Teacher Characteristics
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