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Maria Goldshtein – ProQuest LLC, 2021
Psycholinguistics is the research of language in the mind: The architecture of storing the different components of language in our memory, and the ways we access that knowledge when processing and producing language. Psycholinguists usually conduct quantitative experimental research in which certain standards of experimental design, data…
Descriptors: Psycholinguistics, Improvement, Research Methodology, Research Design
Korchi, Adil; Dardor, Mohamed; Mabrouk, El Houssine – Education and Information Technologies, 2020
Learning techniques have proven their capacity to treat large amount of data. Most statistical learning approaches use specific size learning sets and create static models. Withal, in certain some situations such as incremental or active learning the learning process can work with only a smal amount of data. In this case, the search for algorithms…
Descriptors: Learning Analytics, Data, Computation, Mathematics
Coughlan, Tim – Educational Technology Research and Development, 2020
Open data has potential value as a material for use in learning activities. However, approaches to harnessing this are not well understood or in mainstream use in education. In this research, early adopters from a diverse range of educational projects and teaching settings were interviewed to explore their rationale for using open data in…
Descriptors: Data, Inquiry, Active Learning, Authentic Learning
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
Mitchell, Charlayne F.; Ore, Ersula J.; Wutich, Amber; SturtzSreetharan, Cindi; Brewis, Alexandra; Davis, Olga I. – Field Methods, 2022
Leveraging ground-breaking work of Black feminist scholars alongside established techniques of focus group and community-based participatory research, we explain sister-girl talk as a novel method for collecting and analyzing group interview data with Black women. We outline the procedures for consultation, facilitation and preliminary analysis of…
Descriptors: Blacks, Females, Interviews, Focus Groups
Ko, Jen-Li; Joslyn, Jeff; Lu, Ganhua; Palmer, Jason; Charles, Malcolm; Sanganalu Mattha, Aishwarya; Parsons, Bob; Tatum, Ron; Redmann, Carey; Bialkowski, Walter – Metropolitan Universities, 2022
Feeding America Eastern Wisconsin (FAEW) distributed 84% more food to community members in need during the COVID-19 pandemic than in the prior year. Though systems were in place to manage food receipt and distribution data, social distancing requirements and technological barriers revealed inefficiencies in utilizing this data. In pursuit of…
Descriptors: Hunger, School Community Relationship, Data, Data Analysis
Hwang, Gwo-Jen; Tu, Yun-Fang; Tang, Kai-Yu – International Review of Research in Open and Distributed Learning, 2022
This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Electronic Learning, Educational Research, Data Analysis
Pelaez, Kevin – ProQuest LLC, 2022
The emerging field of data science has brought attention to how we teach statistics and data science (Bargagliotti et al., 2020; Franklin et al., 2007) and prepare the next generation of statistics and data science teachers (Franklin et al., 2013). To realize the full potential of statistics and data science, researchers have also called for using…
Descriptors: Data Science, Statistics Education, Social Justice, Preservice Teachers
Alderson, David L. – INFORMS Transactions on Education, 2022
This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…
Descriptors: Curriculum Design, Introductory Courses, Computation, Data Science
Švábenský, Valdemar; Vykopal, Jan; Celeda, Pavel; Tkácik, Kristián; Popovic, Daniel – Education and Information Technologies, 2022
Hands-on cybersecurity training allows students and professionals to practice various tools and improve their technical skills. The training occurs in an interactive learning environment that enables completing sophisticated tasks in full-fledged operating systems, networks, and applications. During the training, the learning environment allows…
Descriptors: Computer Security, Information Security, Training, Data Collection
Heinzman, Erica – Statistics Education Research Journal, 2022
Many important voices--including The National Council for Teachers of Mathematics (NCTM), the Dana Center's Launch Years initiative, and others--advocate for expanding the traditional course offerings in high school mathematics and statistics to include courses such as the Introduction to Data Science (IDS). To date, the research on the IDS course…
Descriptors: High School Students, Student Experience, Student Attitudes, Self Efficacy
Inan, Elvan; Mert Uyangor, Sevinç – Participatory Educational Research, 2022
The aim of this research is to examine the postgraduate studies conducted in the field of mathematics education with individuals diagnosed as gifted and talented students in Türkiye. For this purpose, master's and doctoral studies in the database of the National Thesis Center of the Council of Higher Education [CHE] of Türkiye were examined. The…
Descriptors: Foreign Countries, Masters Theses, Doctoral Dissertations, Mathematics Education
Reeves, Todd D.; Wei, Dan; Hamilton, Valerie – Educational Forum, 2022
Non-academic factors such as school climate, grit, and growth mindset are receiving much attention in recent education policy and practice. Within this context, this study (N = 425) describes the distribution of U.S. in-service teachers' access to and use of 10 categories of non-academic data. Findings indicate that in-service teachers vary widely…
Descriptors: Access to Information, Data Use, Decision Making, Educational Environment
Data Quality Campaign, 2022
State legislators have the opportunity to create and support legislation that positions data as a tool to help decisionmakers at all levels take action to support student success. This checklist can serve as a guide to crafting legislation that addresses education data. It applies specifically to education data legislation which includes bills…
Descriptors: State Legislation, Data Collection, Data Analysis, Educational Policy
Bhavik Anil Patel – Journal of Chemical Education, 2022
Accuracy and precision are measures of experimental error and are fundamental to most chemical analysis laboratory classes. Assessment of accuracy and precision is often based on the comprehension of the results generated by students rather than on the quality of the data generated. This activity focused on developing a chemical analysis…
Descriptors: Chemistry, Science Laboratories, Accuracy, Data