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Safiye Temel-Aslan; Hulya Ertas-Kilic; Melihan Unlu; Betul Keray-Dincel – Science Insights Education Frontiers, 2024
Data literacy, which is considered among 21st century skills, is becoming increasingly important. In particular, incentives for data-driven decision-making draw attention to data literacy. Data literacy is also critical for teachers who need to use data in educational settings. Therefore, there is a need for data on whether teachers are equipped…
Descriptors: Data Use, Data Interpretation, Literacy, 21st Century Skills
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
Toyokawa, Yuko; Horikoshi, Izumi; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…
Descriptors: Barriers, Affordances, Artificial Intelligence, Inclusion
Frances Edwards; Bronwen Cowie – set: Research Information for Teachers, 2024
Data literacy enables teachers to use information collected about students and their learning to take data-informed instructional action. This article outlines two approaches developed by teachers to provide teaching targeted to the immediate needs of specific students that moved beyond "gap-filling". The pre-teaching and "fresh…
Descriptors: Data Use, Decision Making, Mathematics Instruction, Personal Autonomy
Stephen Downes – International Association for Development of the Information Society, 2023
Data literacy is the ability to collect, manage, evaluate, and apply data, in a critical manner. It is a relatively new field of study, dating only from the 2010s. It includes the skills necessary to discover and access data, manipulate data, evaluate data quality, conduct analysis using data, interpret results of analyses, and understand the…
Descriptors: Statistics Education, Data Analysis, Ethics, Data Use
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
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
Michos, Konstantinos; Schmitz, Maria-Luisa; Petko, Dominik – Education and Information Technologies, 2023
Since schools increasingly use digital platforms that provide educational data in digital formats, teacher data use, and data literacy have become a focus of educational research. One main challenge is whether teachers use digital data for pedagogical purposes, such as informing their teaching. We conducted a survey study with N = 1059 teachers in…
Descriptors: Secondary School Teachers, Prediction, Data Use, Data Analysis
Klomkaew, Thayakorn; Boontam, Punyapa – Shanlax International Journal of Education, 2023
This study investigates the extent to which paper-based data-driven learning (DDL) activities can improve Thai EFL students' grammar learning of conditional sentences (the second condition), as well as the participants' attitudes toward learning through the DDL approach. This was a two-week research using a one-group pre-test and post-test design.…
Descriptors: Instructional Effectiveness, Grammar, Data Use, Teaching Methods
Boontam, Punyapa – Shanlax International Journal of Education, 2022
This paper examines to what extent paper-based data-driven learning (DDL) activities can improve Thai EFL students' vocabulary learning concerning three English synonymous adjectives, which are naughty, disobedient and rebellious, and explores the attitudes of the participants towards learning through the DDL activities. This study was a one-group…
Descriptors: Second Language Instruction, English (Second Language), Vocabulary Development, Data Use
Ian Hardy; Vicente Reyes; Louise G. Phillips; M. Obaidul Hamid – Journal of Education Policy, 2024
Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…
Descriptors: Learning Analytics, Learning Processes, Learning Management Systems, Computer Software
Mandy Pierlejewski – Contemporary Issues in Early Childhood, 2024
This paper explores an emerging methodological approach called doppelganger as method. This method uses the idea of a doppelganger or double to explore the social world. It is specifically used to examine datafication, or the increase in the production and use of data and its impact on education. Doppelganger as method begins by locating doubles,…
Descriptors: Foreign Countries, Preschool Children, Preschool Education, Preschool Teachers
Signe Sophus Lai; Victoria Andelsman; Sofie Flensburg – Learning, Media and Technology, 2024
Amid the increasing reliance on digital tools and services in education, this article examines the datafication and commodification of student life in Denmark. We analyse the web and app (iOS and Android) versions of 45 tools and services that teachers in Danish public primary schools use as part of their teaching, the types of data generated by…
Descriptors: Data, Foreign Countries, Educational Technology, Web Sites
Nuttaporn Lawthong; Warunee Lapanachokdee; Vorachet Saejea; Purin Thepsathit – International Journal of Educational Management, 2025
Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…
Descriptors: Educational Innovation, Academic Achievement, Foreign Countries, Effect Size