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Showing 1 to 15 of 30 results Save | Export
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Schelling, Natalie; Rubenstein, Lisa DaVia – Assessment in Education: Principles, Policy & Practice, 2023
The purpose of this mixed-methods study is to examine the outcomes of assessment training for elementary teachers. Only 56% of the surveyed teachers (n = 283) had assessment training in their university courses, compared to 84% that received in-service training. The quantitative results indicate that frequency of assessment training is positively…
Descriptors: Preservice Teacher Education, Inservice Teacher Education, Assessment Literacy, Elementary School Teachers
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Washburn, Erin K.; Bailey, Kathryn; Pierce, Abby; Stewart, Cathleen; Hawley, JoAnn; Blackman, Jennifer; Fenty, Nicole – Journal of Research in Reading, 2022
The purpose of this manuscript is to share the work of a collaboration between professional development providers and university faculty as they created, implemented and refined a professional development series focused on supporting primary teachers' use of data-based decision making in reading. Using a formative and design-based approach,…
Descriptors: College Faculty, Primary Education, Early Childhood Teachers, Cooperation
Naomi LaRue Witham-Travers – ProQuest LLC, 2024
The purpose of this qualitative descriptive study was to explore how experienced elementary educators in Central Montana described their use of new knowledge from research evidence to inform their teaching practice. Data sources included 15 semi-structured interviews and two focus groups. The Cognitive Affective Model of Conceptual Change was…
Descriptors: Elementary School Teachers, Evidence Based Practice, Teaching Methods, Experienced Teachers
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Saar, Merike; Prieto, Luis P.; Rodríguez Triana, María Jesús – Technology, Pedagogy and Education, 2022
Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…
Descriptors: Data Collection, Data Use, Teaching Methods, Faculty Development
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Murchan, Damian; Siddiq, Fazilat – Large-scale Assessments in Education, 2021
Analysis of user-generated data (for example process data from logfiles, learning analytics, and data mining) in computer-based environments has gained much attention in the last decade and is considered a promising evolving field in learning sciences. In the area of educational assessment, the benefits of such data and how to exploit them are…
Descriptors: Ethics, Federal Regulation, Learning Analytics, Data Use
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Brann, Kristy L.; Naser, Shereen C.; Clough, Mac – Journal of Educational and Psychological Consultation, 2023
The current study describes the process of a participatory consultation framework, the Participatory Culture Specific Intervention Model (PCSIM), to plan and implement a data-based decision-making framework. The framework integrates proactive and systematic identification of emotional and behavioral needs as well as cognitive psychology techniques…
Descriptors: Consultation Programs, Data Use, Decision Making, Intervention
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Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
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Schramm-Possinger, Megan; Harris, Lisa – SRATE Journal, 2021
This study assesses K-12 teachers' beliefs, contextual supports, and actual uses of student data. Results showed that teachers' beliefs, school environments, and engagement in substantive data-driven analyses are associated with their use of periodic and classroom-based data to inform their instruction and communications with instructional…
Descriptors: Teacher Attitudes, Elementary School Teachers, Secondary School Teachers, Data Use
Foimapafisi, Tuamanaia; Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning assessment data are used in six sub-Saharan African countries. This Information Sheet…
Descriptors: International Organizations, Foreign Countries, Educational Policy, Policy Formation
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Peterson, Franziska – Educational Research: Theory and Practice, 2021
The purpose of this pilot study was to engage pre-service elementary teachers in a semester-long project to deepen their quantitative reasoning skills when working with real-world data. Over three semesters, all pre-service elementary teachers enrolled in mathematics content courses focusing on K-8 mathematics topics had to collect, analyze,…
Descriptors: Data Use, Data Analysis, Thinking Skills, Mathematics Skills
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Farley-Ripple, Elizabeth N.; Jennings, Austin S.; Buttram, Joan – AERA Open, 2019
Research consistently has found teachers' use of assessment data for instructional purposes challenging and inconsistent. To support teachers' use of data, we need to develop shared knowledge about how data are and can be used to advance teaching and learning. However, the literature on the specific actions teachers take is inconsistent, creating…
Descriptors: Data Use, Elementary School Teachers, Teacher Educators, Teaching Methods
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Whitesides, Heather; Beck, Jori S. – Teacher Educator, 2020
Research on equity in data literacy for teaching has lagged yet is of critical importance to ensuring new teachers are prepared to serve diverse students. Our multiple case study conveyed four elementary teacher candidates' understandings of this construct and their reaction to instruction in this domain. Data collection included interviews, item…
Descriptors: Preservice Teachers, Equal Education, Data Use, Student Diversity
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Tamar Tas; Thoni Houtveen; Wim Van de Grift – Journal of Professional Capital and Community, 2020
Purpose: The purpose of this paper is to answer the question, what progress student teachers make during one academic year, while being trained in a professional learning community, using objective classroom observation, using lesson preparation templates that match their developmental stage and stage-focused mentor feedback.…
Descriptors: Foreign Countries, Teacher Education, Student Teachers, Data Use
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
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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
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