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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
State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
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
Ubilla, Francisca M.; Gorgorió, Núria – Teaching Statistics: An International Journal for Teachers, 2021
Statistical data is used in the media and on online platforms, often with an interpretation that serves some commercial or political purpose. Primary preservice teachers must be able to understand statistical data and analyze it critically. Only in this way will they be able to contribute as future teachers to the development of a critical spirit…
Descriptors: Statistical Data, Preservice Teachers, Elementary School Teachers, Data Analysis
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
Francisca M. Ubilla; Núria Gorgorió – Journal of Mathematics Teacher Education, 2025
The concept of statistical sense provides an understanding of the goals of statistics education and helps to clarify the design of activities that promote the development of statistical literacy, reasoning and thinking. The new approaches to statistics in schools mean special attention must be paid to teacher training. This training should enable…
Descriptors: Data Use, Teaching Methods, Statistics Education, Preservice Teachers
Andrew Kent Shealy Jr. – ProQuest LLC, 2024
The increasing prevalence of data emphasizes the importance of statistical literacy. Educational systems are charged with developing students who are statistically literate before entering higher education or the workforce. Adequate teaching and learning of statistics in K-12 education faces challenges, due to limited statistical content knowledge…
Descriptors: Preservice Teacher Education, Preservice Teachers, Mathematics Education, Mathematics Teachers
Ubilla, Francisca M.; Vásquez, Claudia; Rojas, Francisco; Gorgorió, Núria – Statistics Education Research Journal, 2021
We consider the ability to complete an investigative cycle as an indicator of the robustness of students' statistical knowledge. From this standpoint, we analyzed the written reports of primary education student teachers when they developed an investigative cycle in a Chilean and a Spanish university. In their development of the stages of the…
Descriptors: Foreign Countries, Teacher Education Programs, Elementary School Teachers, Statistics Education
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
MacGregor, Stephen W.; Cooper, Amanda – AERA Online Paper Repository, 2022
We interrogate the opportunities and challenges of using mixed methods (MM) within a developmental evaluation (DE) context by drawing on two illustrative cases that investigated educational change in Canada. Methods: Multi-case design and cross-case analysis, with a focus on examining common patterns across the two cases, enabling new ways of…
Descriptors: Mixed Methods Research, Evaluation Methods, Barriers, Educational Change
Araitz Uskola; Nahia Seijas – Research in Science & Technological Education, 2023
Background: Science education should encompass enculturation in science which implies performing scientific practices such as use of data and modelling, in authentic contexts like the field. Purpose: This work aims to determine how preservice elementary teachers (PETs) use data obtained in the field, and how these data contribute to the process of…
Descriptors: Geology, Preservice Teachers, Elementary School Teachers, Science Education
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
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
Torres-Hernández, Norma; Gallego-Arrufat, María-Jesús – Contemporary Educational Technology, 2023
The protection of personal data and privacy are important issues closely related to use of social media, information and communication technologies, and the Internet in the area of education. The treatment of academic information and use of tools and programs for instruction, communication, and learning have revealed the handling of a significant…
Descriptors: Preservice Teachers, Information Security, Elementary Education, Teacher Attitudes
Bailey, Judy; Cowie, Bronwen; Cooper, Beverley – Australian Journal of Teacher Education, 2020
Mathematical and statistical thinking is involved across the breadth of people's home and work life and leisure activities. This paper reports on an aspect of a project that aimed to develop preservice teacher awareness of the mathematical and statistical thinking required across the breadth of primary teachers' professional role. This thinking is…
Descriptors: Preservice Teachers, Knowledge Level, Mathematics Skills, Thinking Skills
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