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HLP Writing Team – Council for Exceptional Children, 2024
High-Leverage Practices (HLPs) are a deceptively simple concept in the field of education. On the one hand it is amazing to have a list of key practices that all teachers should learn and be able to implement when teaching students of all backgrounds and ability levels, including those with disabilities. On the other, teaching is rarely simple,…
Descriptors: Educational Practices, Students with Disabilities, Cooperation, Data Use
Navjot Singh – ProQuest LLC, 2024
The rapid growth of edge computing, 5G, and IoT technologies has led to a significant increase in distributed data, creating both opportunities and challenges for machine learning. Federated learning has emerged as a promising approach to enable collaborative model training across decentralized devices while not sharing user data. However,…
Descriptors: Artificial Intelligence, Cooperative Learning, Communications, Efficiency
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Emily N. Line; Sara Jaramillo; Micah Goldwater; Zachary Horne – Cognitive Research: Principles and Implications, 2024
People are inundated with popular press reports about medical research concerning what is healthy, get advice from doctors, and hear personal anecdotes. How do people integrate conflicting anecdotal and statistical information when making medical decisions? In four experiments (N = 4126), we tested how people use conflicting information to judge…
Descriptors: Medical Research, Personal Narratives, Decision Making, Data Use
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Yuting Han; Zhehan Jiang; Lingling Xu; Fen Cai – AERA Online Paper Repository, 2024
To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…
Descriptors: Medical Education, Licensing Examinations (Professions), Measurement Techniques, Statistical Data
Robert Lesley – ProQuest LLC, 2024
The focus of this study was derived from staggering attrition rates that it calls centers year over year. At times call centers post-COVID-19 pandemic saw attrition rates fluctuating between 30%-50%. With any job there are challenges that are faced. These attrition rates stand 28%-40% higher than the United States 2023 national attrition rates of…
Descriptors: Staff Orientation, Performance Based Assessment, Quality Assurance, Utilities
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Tim Erickson – Australian Mathematics Education Journal, 2024
This is the third in a series of articles describing CODAP and where it might be used to address content in the "Australian Curriculum: Mathematics" v9.0 (ACARA, 2022). We've talked before about model-ling and about statistics; this time, we'll talk about exploring probability using CODAP. As before, we have also prepared online pages…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Mathematics Curriculum
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Thomas Clough Daffern – Teaching Theology & Religion, 2024
This paper introduces the reader to the "Periodic Table of the World's Religious and Philosophical Traditions" (PTWRPT). It summarizes its background history, the conceptual thinking that underlies it, and explains why and how it was created. Using the same thinking that underlies Mendeleyev's Periodic Table of the Elements, it sets out…
Descriptors: Religion, Philosophy, Folk Culture, Visual Aids
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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
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Natacha Klein Käfer; Emma Klakk; Mette Birkedal Bruun – Issues in Interdisciplinary Studies, 2024
This article addresses the ethical and epistemological challenges of interdisciplinary efforts through the interactional lens of proximity. How can we ensure interdisciplinarity in unequal institutional, disciplinary, and geopolitical environments? What does it mean to do research when epistemological frameworks clash between fields and sectors?…
Descriptors: Interdisciplinary Approach, Ethics, Epistemology, Proximity
Peter Rankin; Sally Staton; Alicia Jones; Azhar Hussain Potia; Sandy Houen; Bridget Healey; Karen Thorpe – Australian Education Research Organisation Limited, 2024
In 2023, the Australian Education Research Organisation (AERO) and researchers from the Queensland Brain Institute at The University of Queensland partnered to examine how specific aspects of quality relate to learning and development outcomes for children in Australia. This study contributes the first empirical evidence linking quality ratings of…
Descriptors: Educational Quality, Child Development, Early Childhood Education, Child Care Centers
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Aswani Yaramala; Soheila Farokhi; Hamid Karimi – International Educational Data Mining Society, 2024
This paper presents an in-depth analysis of student behavior and score prediction in the ASSISTments online learning platform. We address four research questions related to the impact of tutoring materials, skill mastery, feature extraction, and graph representation learning. To investigate the impact of tutoring materials, we analyze the…
Descriptors: Student Behavior, Scores, Prediction, Electronic Learning
Sakshee Chawla – State Higher Education Executive Officers, 2024
Inadequate campus support for student mental health, such as student isolation, long wait times, understaffing, and underfunding, predates 2020. The COVID-19 pandemic, however, contributed to growing students' mental health needs and exacerbating preexisting conditions resulting in a failure to support students adequately. In 2023, more than 60…
Descriptors: College Students, Mental Health, Minority Group Students, Access to Health Care
Tongxi Liu – Journal of Educational Computing Research, 2024
Addressing cognitive disparities has become a paramount concern in computational thinking (CT) education. The intricate and nuanced relationships between CT and cognitive variations emphasize the needs to accommodate diverse cognitive profiles when fostering CT skills, recognizing that these cognitive functions can manifest as either strengths or…
Descriptors: Executive Function, Computation, Thinking Skills, Data Science
Kara J. Beckman; Angeline Gacad; Barbara McMorris – Grantee Submission, 2023
Schools are increasingly turning towards restorative practices as a pathway to building schools with stronger relationships, justice, and equity. While effectiveness studies are increasing, too little attention is focused on evaluating implementation. This resources is for audiences who evaluate implementation of whole school restorative practices…
Descriptors: Program Implementation, Program Evaluation, Discipline, Justice
Ben Bryant; Simon Day – UK Department for Education, 2023
This research was commissioned as part of Inclusive Britain, the government response to the Commission on Race and Ethnic Disparities (CRED). The research sought to answer three main questions: (1) Where schools and trusts have closed attainment gaps between pupils from different ethnic groups, has this been the result of a deliberate strategy…
Descriptors: School Role, Achievement Gap, Racial Differences, Ethnicity
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