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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
Yeung, Glorry; Mun, Rachel U. – Journal for the Education of the Gifted, 2022
Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White…
Descriptors: Gifted Education, Talent, Educational Research, Race
Chansanam, Wirapong; Jaroenruen, Yuttana; Kaewboonma, Nattapong; Tuamsuk, Kulthida – Education for Information, 2022
This article describes the development process of the Thai cultural knowledge graph, which facilitates a more precise and rapid comprehension of the culture and customs of Thailand. The construction process is as follows: First, data collection technologies and techniques were used to obtain text data from the Wikipedia encyclopedia about cultural…
Descriptors: Foreign Countries, Graphs, Data Collection, Semantics
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
Ekkens, Tom – Physics Teacher, 2022
In many introductory physics classes, diffraction of light is introduced first, then more advanced diffraction topics such as x-ray diffraction, Bragg's law, and crystallography are covered. Since using x-rays raises safety concerns and atomic spacing in a crystal is not easy to change, microwaves with macroscopic crystals have been used to study…
Descriptors: Data Collection, Physics, Science Education, Introductory Courses
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
Roll, Anne E.; Koehly, Laura M. – Journal of Applied Research in Intellectual Disabilities, 2020
Background: For people with intellectual disabilities (ID), social networks play a key role in facilitating social inclusion, health, and quality of life. This study shows that a multi-informant approach to collecting social network data improves our understanding of the social worlds of people with Down Syndrome (DS). Method: A mixed methods…
Descriptors: Social Networks, Down Syndrome, Measurement Techniques, Data Collection
Jones, Kyle M. L.; Briney, Kristin A.; Goben, Abigail; Salo, Dorothea; Asher, Andrew; Perry, Michael R. – College & Research Libraries, 2020
Universities are pursuing learning analytics practices to improve returns from their investments, develop behavioral and academic interventions to improve student success, and address political and financial pressures. Academic libraries are additionally undertaking learning analytics to demonstrate value to stakeholders, assess learning gains…
Descriptors: Academic Libraries, Learning Analytics, Privacy, Ethics
Doleck, Tenzin; Lemay, David John; Basnet, Ram B.; Bazelais, Paul – Education and Information Technologies, 2020
Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a…
Descriptors: Learning Analytics, Prediction, Information Retrieval, Accuracy
Yildiz, Ali – Online Submission, 2020
The purpose of the study is to discuss accurate and effective data collection for qualitative studies. The analysis of the written documents for the study was carried out via the descriptive analysis approach. Many documents reviewed, checked for authenticity, arranged, and organized by field experts can be a source of data, and using these…
Descriptors: Data Collection, Qualitative Research, Accuracy, Documentation
Education Commission of the States, 2020
Following a high-quality early care and pre-K experience, the kindergarten-through-third-grade years set the foundation upon which future learning builds; and strengthening this continuum creates opportunities for later success. Key components of a quality experience in K-3 include school readiness and transitions, kindergarten requirements,…
Descriptors: State Policy, Educational Policy, Primary Education, Data Use
Cate, Leandra; Wetzstein, Lia; Kovacich, Katie – Community College Research Initiatives, 2023
One of the key commitments of the Community College Research Initiatives (CCRI's) STEM Transfer Partnership (STP) program is to transform STEM transfer pathways and improve outcomes for students from low-income backgrounds using student input. Student input is an essential element in institutional transformation for student success but the process…
Descriptors: STEM Education, Student Attitudes, Educational Change, Data Collection
Education Trust-West, 2023
As California invests in early learning and care, the state is also moving forward with a long-overdue plan to build a statewide longitudinal data system (SLDS) -- known as the Cradle-to-Career (C2C) Data System -- which will eventually connect data over time and across sectors like education, health, human services, and the workforce. This is a…
Descriptors: Early Childhood Education, Child Care, Young Children, Access to Education
Chang, Hedy N. – Attendance Works, 2023
This brief is the third annual examination of how state attendance policies and practices have evolved since the onset of the COVID-19 pandemic. States can play an essential guiding role in the collection, use and public availability of attendance and chronic absence data. While reporting chronic absence on state report cards is required by the…
Descriptors: Attendance, State Policy, Educational Policy, Data Collection
Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection

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