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Ayhan Duygulu; Sibel Dogan; Sevgi Yildiz – Journal of Theoretical Educational Science, 2025
The purpose of this study is to develop a valid and reliable scale to determine and evaluate the different dimensions of data literacy at school. The study is a quantitative descriptive survey model. The sampling for exploratory factor analysis was formed of 307 and confirmatory factor analysis 338 teachers and school administrators who are on…
Descriptors: Data, Literacy, Test Construction, Measures (Individuals)
Holcomb, Timothy; Holshouser, Kaitlyn O. – Journal of Research in Education, 2023
Kindergarten Entry Assessments (KEAs) have grown in popularity over the past decade due to the Race to the Top -- Early Learning Challenge Grant offered by the U.S. Department of Education in 2015. This study addresses kindergarten teachers' perceptions of data from North Carolina's school readiness assessment and their perceptions of what…
Descriptors: Kindergarten, Student Evaluation, School Readiness, Preschool Teachers
M. B. Saikrishna – On the Horizon, 2025
Purpose: The purpose of this paper is to investigate how educators perceive and adapt their roles in the face of changes in technology-driven learning environments. The Gioia methodology explores how educators enable adaptive learning, broaden their pedagogical practice and promote cultural inclusivity to educate diverse students.…
Descriptors: Teacher Attitudes, Educational Technology, Technology Uses in Education, Teacher Role
David Baidoo-Anu; Isaac Ennu Baidoo – Education Inquiry, 2024
Undergirded by "economic theory of the principal-agent problem", the study investigated secondary school teachers' perception of the influence of large-scale testing accountability on teaching and learning. Cross-sectional survey design was used. Simple random sampling was also employed to select 200 teachers for this study. The…
Descriptors: Foreign Countries, Measurement, Teacher Attitudes, Accountability
Meagan Karvonen; Lindsay Ruhter; Amy K. Clark – Exceptionality, 2024
Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…
Descriptors: Students with Disabilities, Academic Education, Data Use, Decision Making
Angelos Giannoulas; Antonios Kalamatianos; Kalliope Kounenou – Online Learning, 2025
During the COVID-19 pandemic, education systems policymakers realized the importance of being able to communicate using technology and to fulfill their academic obligations. As a consequence, a different approach to education followed: blended learning. A literature review revealed a lack of psychometric tools related to blended teaching readiness…
Descriptors: Greek, Blended Learning, Readiness, Measures (Individuals)
Rebecca Mazurik – Society for Research on Educational Effectiveness, 2024
The implementation of Multi-Tiered System of Supports (MTSS) has been successful in elementary systems across the United States. For secondary schools, the implementation of MTSS has not been as successful. Secondary teachers often note difficulties include understanding data from different sources, what sources are available, and how it applies…
Descriptors: Program Implementation, Multi Tiered Systems of Support, Secondary Education, Secondary School Teachers
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
Ying, Samantha; Shakra, Rayanne – Issues in Educational Research, 2022
The purpose of this small case-study is to gain an in depth understanding of how secondary school teachers perceive that data walls impact their teaching practices and subsequently, students' learning and growth. By drawing on a conceptual model of evidence-informed practice (EIP), this case study examined responses from secondary school teachers…
Descriptors: Data Use, Secondary School Teachers, Progress Monitoring, Evidence Based Practice
Saar, Merike; Rodríguez-Triana, María Jesús; Prieto, Luis P. – Journal of Learning Analytics, 2022
Data-informed decision-making in teachers' practice, now recommended by different teacher inquiry models and policy documents, implies deep practice change for many teachers. However, not much is known about how teachers perceive the different steps that analytics-informed teacher inquiry entails. This paper presents the results of a study into…
Descriptors: Learning Analytics, Evidence Based Practice, Data, Decision Making
Usher, Maya; Hershkovitz, Arnon – Journal of Science Education and Technology, 2022
Higher education instructors constantly rely on educational data to assess and evaluate the behavior of their students and to make informed decisions such as which content to focus on and how to best engage the students with it. Massive open online course (MOOC) platforms may assist in the data-driven instructional process, as they enable access…
Descriptors: College Faculty, Data Use, MOOCs, Teaching Methods
Jinhee Kim – Education and Information Technologies, 2024
Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence (AI) system, optimizing the complementary strengths of the two has aroused great expectations and educational innovation potential. Yet, the conceptual guidance of how best to structure and implement teacher-AI collaboration (TAC) while ensuring teachers'…
Descriptors: Teacher Attitudes, Artificial Intelligence, Man Machine Systems, Curriculum Development
Sarah S. Rowe; Sara E. Witmer; Ornela Shkreli – Contemporary School Psychology, 2024
Curriculum-based measurement in reading (CBM-R) is a commonly used tool for universal screening and progress monitoring in K-12 education and is one that can add value to decision-making. However, the social validity of this measure among teachers is often questioned. Reasons some teachers have traditionally opposed the use of CBM-R have included…
Descriptors: Elementary School Teachers, Curriculum Based Assessment, Reading Tests, Teacher Attitudes
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
Claire Wyatt-Smith; Lenore Adie; Lois Harris – British Educational Research Journal, 2024
This paper reports results from an Australian study into how teachers see features of quality in student work and connect these to next-step teaching. Data were drawn from a national 3 year project investigating teacher judgement using A-E standards. The project developed scaled exemplars of authentic student written performance assessments to…
Descriptors: Decision Making Skills, Foreign Countries, Data Use, Grading