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No Child Left Behind Act 20015
Showing 1 to 15 of 166 results Save | Export
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Schachter, Rachel E.; Yeomans-Maldonado, Gloria; Piasta, Shayne B. – Journal of Literacy Research, 2023
Despite a growing focus on access to and use of emergent literacy assessment in early childhood, little is known about early childhood teachers' data practices and their associations with children's emergent literacy skills. A questionnaire was used to confirm and elaborate findings from prior qualitative work (Schachter & Piasta, 2022)…
Descriptors: Early Childhood Education, Early Childhood Teachers, Emergent Literacy, Data Collection
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
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Schachter, Rachel E.; Piasta, Shayne B. – Reading Research Quarterly, 2022
Early childhood research and policy have promoted the use of language and literacy assessment data to inform instruction. Yet, there is a limited understanding of preschool teachers' data practices and sensemaking, particularly when considered from the perspectives of practicing teachers. In this multicase study, we used a phenomenological…
Descriptors: Preschool Teachers, Data Use, Knowledge Level, Teaching Methods
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Hayes, Aneta; Cheng, Jie – Teaching in Higher Education, 2020
The paper critiques key international teaching excellence and higher education outcomes frameworks for their lack of attention to epistemic equality. It subsequently argues that adequate 'datafication' of these frameworks, to demonstrate the extent to which universities offer teaching experiences which promote intellectual equivalence of all…
Descriptors: Educational Quality, Data Collection, Data Analysis, Teacher Effectiveness
Michelle Wong – ProQuest LLC, 2023
Teacher data use is often centered around standardized testing. Such data use that is commonly centered on standardized tests and used during professional development does not necessarily transform teacher practice toward equity and fails to change teacher conceptualizations of students while also perpetuating inequitable practices. Conversely,…
Descriptors: Data Use, Standardized Tests, Faculty Development, Outcomes of Education
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Zhongqiang Feng; Yi Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
OBE concept is a new teaching mode which emphasizes the improvement of students' subjective initiative and professional practice ability. The teaching of animation course is based on drawing and computer, which requires teachers to understand the OBE mode of animation course, carry out targeted teaching innovation of animation course, and adjust…
Descriptors: Animation, MOOCs, Art Education, Teaching Methods
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Hoek, Lianne; Munniksma, Anke; Dijkstra, Anne Bert – Journal of Social Science Education, 2022
Purpose: Scholars are increasingly paying attention to the characteristics of effective citizenship education. The systematic use of data to maximise student learning, also called an output-driven approach, is often presented as a powerful predictor of student outcomes. However, its effectiveness has not been studied in citizenship education.…
Descriptors: Teaching Methods, Citizenship Education, Instructional Effectiveness, Measurement Techniques
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Hardy, Ian – Journal of Education Policy, 2021
Drawing upon recent theorising of numbers and data, and applications to schooling, this paper reveals how tensions between more accountability-oriented logics, and more contextually-situated conceptions of engagement with data, played out in one school in a regional community in northern Queensland, Australia. The research reveals that at the same…
Descriptors: Data Analysis, Accountability, Faculty Development, Academic Achievement
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Lindsay Ruhter; Meagan Karvonen – Remedial and Special Education, 2024
There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…
Descriptors: Student Needs, Decision Making, Data Use, Outcomes of Education
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Pereira, Filipe D.; Oliveira, Elaine H. T.; Oliveira, David B. F.; Cristea, Alexandra I.; Carvalho, Leandro S. G.; Fonseca, Samuel C.; Toda, Armando; Isotani, Seiji – British Journal of Educational Technology, 2020
Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…
Descriptors: Introductory Courses, Programming, Outcomes of Education, Student Behavior
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Liujie Xu; Xuefei Zou; Yuxue Hou – Journal of Computer Assisted Learning, 2024
Background: Data literacy (DL) is vital for teachers, as it enables them to build on data and improve teaching and learning. Therefore, developing DL among pre-service teachers is critical. Objectives: The purpose of this study is threefold: to evaluate whether a feedback visualisation of peer assessment-based teaching approach (FVPA-based…
Descriptors: Statistics Education, Comparative Analysis, Preservice Teachers, Teacher Education Programs
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Fancsali, Stephen E.; Murphy, April; Ritter, Steve – International Educational Data Mining Society, 2022
Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…
Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis
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Zahay, Debra; Pollitte, Wesley A.; Reavey, Brooke; Alvarado, Antonio – Marketing Education Review, 2022
The purpose of this paper is to detail an exploratory case study which highlights a process to modernize an undergraduate marketing curriculum by incorporating aspects of digital marketing and analytics in all courses. In comparison to most other university models that offer, at best, one course in digital marketing, this paper details a blueprint…
Descriptors: Internet, Teaching Methods, Curriculum Design, Marketing
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Christopher Lore; Hee-Sun Lee; Amy Pallant; Charles Connor; Jie Chao – International Journal of Science and Mathematics Education, 2024
As computational methods are widely used in science disciplines, integrating computational thinking (CT) into classroom materials can create authentic science learning experiences for students. In this study, we classroom-tested a CT-integrated geoscience curriculum module designed for secondary students. The module consisted of three inquiry…
Descriptors: Risk, Science Instruction, Physical Geography, Natural Disasters
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Isaac B. Oluwatayo; Ayodeji O. Ojo; Salamatu I. Isah; Anthonia T. Odeleye – Journal of Education, 2024
Despite huge investments in the educational sector, many countries in Africa have not fared well in the education indices. This study examined the effect of teaching equipment and teachers' effort on learning outcomes in 744 Nigerian primary schools using Stochastic Frontier and Ordinary Least Square regression. The mean technical efficiency was…
Descriptors: Foreign Countries, Elementary Schools, Resource Allocation, Data
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