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Natalija Bošnjakovic; Ivana Ðurdevic Babic – Technology, Knowledge and Learning, 2025
To improve and facilitate the acquisition of learning outcomes, teachers often use innovative teaching methods such as gamification to keep students' attention and increase their motivation. In recent years, the use of educational data mining (EDM) methods to explore academic topics has increased. With the expansion of EDM, a gap in the literature…
Descriptors: Data Collection, Gamification, Teaching Methods, Attention
Anja Friedrich; Saskia Schreiter; Markus Vogel; Sebastian Becker-Genschow; Roland Brünken; Jochen Kuhn; Jessica Lehmann; Sarah Malone – International Journal of STEM Education, 2024
The pervasive digitization of society underscores the crucial role of data and its significant impact on decision-making across various domains. As a result, it is essential for individuals to acquire competencies in handling data. This need is particularly pertinent in K-12 education, where early engagement with data and statistics can lay a…
Descriptors: Literature Reviews, Elementary Secondary Education, STEM Education, Meta Analysis
Anna K. Wood; Hazel Christie; Jill R. D. MacKay; George Kinnear – International Journal for Academic Development, 2024
This study explored the way in which detailed data about how time is spent on classroom activities, generated by the FILL+ tool (Framework for Interactive Learning in Lectures), can stimulate professional conversations about teaching practices and aid reflection for STEMM lecturers. The lecturers felt that personalised data provided an unbiased…
Descriptors: Class Activities, Reflective Teaching, STEM Education, Medicine
Seyma Birinci – ProQuest LLC, 2024
The purpose of this study was to explore how teachers engaged in data use for instructional decision making. A grounded theory research design was used to analyze interviews of 10 special education teachers. Special education teachers were asked to complete an online survey and were interviewed with questions to reveal their experiences with…
Descriptors: Individualized Instruction, Decision Making, Data Use, Special Education Teachers
Candace S. Thompson – ProQuest LLC, 2024
This dissertation discusses the relationship between teacher sensemaking, attributions, and instructional adjustments prompted in response to student performance data. Through this qualitative observation study, this paper explores the varying perspectives of teachers, including their level of assessment literacy, and the dynamics of their…
Descriptors: Decision Making, Attribution Theory, Communities of Practice, Teacher Attitudes
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
Iva Božovic – Journal of Political Science Education, 2024
This work reports on the implementation of a self-contained data-literacy exercise designed for use in undergraduate classes to help students practice data literacy skills such as interpreting and evaluating evidence and assessing arguments based on data. The exercises use already developed data-visualizations to test and develop students' ability…
Descriptors: Data Use, Teaching Methods, Data, Information Literacy
Saskia Schreiter; Anja Friedrich; Hannah Fuhr; Sarah Malone; Roland Brünken; Jochen Kuhn; Markus Vogel – ZDM: Mathematics Education, 2024
Statistical and data literacy have emerged as key competencies in the 21st-century. Science, technology, engineering, and mathematics (STEM) curricula have been adapted in various countries to place increased emphasis on proficient data use and statistical comprehension. Consequently, there is a need for an adequate education and professional…
Descriptors: STEM Education, Statistics Education, Multiple Literacies, Elementary Secondary Education
Robin Heath Netherton – ProQuest LLC, 2024
This research examines what educational administrators can do to help secondary teachers effectively use data to inform their instruction and improve their practice. This qualitative study focused on the interviews of principals and teachers in 14 secondary schools that have used data to improve their school's accountability measures markedly in…
Descriptors: Teaching Methods, Data Use, Academic Achievement, Secondary School Teachers
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
Jessica R. Toste; Marissa J. Filderman; Nathan H. Clemens; Erica Fry – Journal of Learning Disabilities, 2025
Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…
Descriptors: Preservice Teachers, Data Use, Decision Making, Progress Monitoring
Flávio Marques; Leonardo Lignani; João Quadros; Myrna Amorim; Windson Viana; Eduardo Ogasawara; Joel dos Santos – Technology, Knowledge and Learning, 2025
Educational games help reinforce educational concepts. They help students learn through hypothesizing, probing, and reflecting upon the game environment. Understanding the impact of a game is important before deploying it in a class. Recent studies in learning analysis describe methodologies and approaches for analyzing educational games. However,…
Descriptors: Design, Educational Games, Reinforcement, Game Based Learning
Joy G. Bertling; Chris Grodoski; Amanda Galbraith; Ericka Ryba; Lynn Hodge – Art Education, 2024
Despite vital professional development support through the National Art Education Association's Data Visualization Working Group and other scholars' engagement with the topic in the literature, pedagogical literature that connects contemporary data visualization methods to art teaching practices is limited. While acknowledging that many of us have…
Descriptors: Art Education, Visual Aids, Data Analysis, Teaching Methods
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