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National Center on Accessible Educational Materials, 2024
In early childhood education, ensuring that all students, including those with disabilities, can access and engage with learning materials is a pivotal aspect of educational equity and inclusion. Accessible Educational Materials (AEM) and Assistive Technologies (AT) are central to this endeavor, providing essential resources that accommodate…
Descriptors: Access to Education, Instructional Materials, Assistive Technology, Early Childhood Education
Hongyan Xi; Dongyan Sang – International Journal of Information and Communication Technology Education, 2024
By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection,…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Higher Education
Corple, Danielle J.; Linabary, Jasmine R. – International Journal of Social Research Methodology, 2020
Many ethical concerns in online big data research stem from a pervasive assumption that data are disembodied and place-less. While some scholars have begun addressing the ethical dilemmas of big data, few offer approaches or tools that fully grapple with the situatedness of online data and its ethical implications. We draw on feminist new…
Descriptors: Feminism, Ethics, Research, Epistemology
Shepley, Collin; Grisham-Brown, Jennifer; Lane, Justin D.; Ault, Melinda J. – Topics in Early Childhood Special Education, 2022
Progress-monitoring data collection is an essential skill for teachers serving children for whom the general curriculum is insufficient. As the field of early childhood education moves toward tiered service provision models, the importance of routine data collection is heightened. Therefore, we evaluated the effects of a training package on…
Descriptors: Early Childhood Education, Preschool Teachers, Teacher Behavior, Data Collection
Pammer-Schindler, Viktoria; Rosé, Carolyn – International Journal of Artificial Intelligence in Education, 2022
Professional and lifelong learning are a necessity for workers. This is true both for re-skilling from disappearing jobs, as well as for staying current within a professional domain. AI-enabled scaffolding and just-in-time and situated learning in the workplace offer a new frontier for future impact of AIED. The hallmark of this community's work…
Descriptors: Data, Ethics, Informal Education, Professional Development
Williams, Julie Ann Stuart; Billings, Philip E.; Estep, Joshua L.; Pinder, Ashanae D. – Business and Professional Communication Quarterly, 2022
Despite organizations increasingly seeking talent to identify data to make better business decisions, many assignments provide the data for the students. This article encourages curriculum to introduce data and information request dimensions, identify data sources, write data and information requests, and reflect on data request examples. We…
Descriptors: Data, Information Dissemination, Information Policy, Communication Strategies
National Forum on Education Statistics, 2022
"Using Education Indicators: A Forum Guide for State and Local Education Agencies" was developed to provide timely and useful information on education indicators, how their collection and use have changed over time, and how agencies use them strategically. Since the publication of the 2005 document "Forum Guide to Education…
Descriptors: Educational Indicators, State Departments of Education, School Districts, Data Use
Singh, Ajit – Journal of Learning and Teaching in Digital Age, 2021
The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…
Descriptors: Behavior, Measurement Techniques, Data Use, Data Collection
National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
Hutt, Stephen; Das, Sanchari; Baker, Ryan S. – International Educational Data Mining Society, 2023
The General Data Protection Regulation (GDPR) in the European Union contains directions on how user data may be collected, stored, and when it must be deleted. As similar legislation is developed around the globe, there is the potential for repercussions across multiple fields of research, including educational data mining (EDM). Over the past two…
Descriptors: Data Analysis, Decision Making, Data Collection, Foreign Countries
Sales, Adam C.; Prihar, Ethan B.; Gagnon-Bartsch, Johann A.; Heffernan, Neil T. – Journal of Educational Data Mining, 2023
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…
Descriptors: Data Use, Research Methodology, Randomized Controlled Trials, Educational Technology
Samuelsson, Ingrid Pramling; Björklund, Camilla – International Journal of Early Years Education, 2023
Play is considered an important aspect of Early Childhood Education and Care. However, the relationship between play and learning is often taken for granted both in research and praxis. In this article, we study our own research group's empirical work over a 40-year period, and how we have used the concepts of play and learning. We observed that…
Descriptors: Play, Learning Processes, Relationship, Learning
Melanie M. Keller; Takuya Yanagida; Oliver Lüdtke; Thomas Goetz – Educational Psychology Review, 2025
Students' emotions in the classroom are highly dynamic and thus typically strongly vary from one moment to the next. Methodologies like experience sampling and daily diaries have been increasingly used to capture these momentary emotional states and its fluctuations. A recurring question is to what extent aggregated state ratings of emotions over…
Descriptors: Foreign Countries, High School Students, Affective Behavior, Emotional Response
Luvon Hudson; Tawheedah Abdullah; Max Altman – Equity Assistance Center-South, 2025
In the complex and dynamic environment of schools, the greatest asset is the collective wisdom of educators. The insights, experiences, and perspectives of teachers and staff are the most valuable data for driving meaningful improvement and fostering a positive environment where both students and adults can thrive. To lead effectively, one must…
Descriptors: Feedback (Response), Educational Improvement, Data Collection, Educational Environment
Crabtree, Gina; Wright, David – Strategic Enrollment Management Quarterly, 2021
Wichita State University (WSU) began the SEM process in 2015 with a steering committee co-chaired by the university registrar and the chief data officer (CDO). Work leading up to and undertaken throughout that process and the implementation of the SEM plan it produced helped to form an extraordinary partnership between these two professionals.…
Descriptors: Registrars (School), Institutional Research, Universities, Enrollment Management

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