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Arantes, Janine Aldous; Vicars, Mark – Learning, Media and Technology, 2023
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and…
Descriptors: Foreign Countries, Homosexuality, LGBTQ People, Data
Jen Munson; Erin E. Baldinger – Journal of the Learning Sciences, 2023
Background: Emotions are inherently intertwined with learning and disciplinary identity, and this relationship demands that teachers attend and respond to students' emotions. In this study, we forward a theory that the development of "pedagogical empathy," or the capacity to understand the implications of student emotions and use…
Descriptors: Educational Practices, Psychological Patterns, Empathy, Decision Making
Nan Pang; Charles Crook – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the advent of the big data internet era, the corresponding multimedia technology is also developing. At the same time, as an important place for students to improve their cognitive level and expand their knowledge coverage, the construction of knowledge and information in university libraries will have an important impact on the growth of…
Descriptors: Foreign Countries, Research Libraries, Library Facilities, Student Development
Lisa Azure; Sheridan Mcneil; Leah Woodke; Monte Schaff – Strategic Enrollment Management Quarterly, 2024
Enrollment of American Indian and Alaska Native (AI/AN) students in postsecondary education in the United States has been increasing over the past three decades (Chee, Shorty, and Robinson Kurpius 2019). The Tribal College Movement began more than 40 years ago with the establishment of the first tribally-controlled community college in 1968.…
Descriptors: Educational Improvement, Minority Serving Institutions, Tribally Controlled Education, American Indians
Knight, Jim; Faggella-Luby, Michael – Learning Professional, 2022
Data is so deeply woven into the fabric of people's lives that it is next to impossible to imagine what a data-free life would be like. But despite the centrality of data in everyone's personal lives, when people talk about data in schools, their comments are often negative. The authors of this article believe "data" should not be a…
Descriptors: Coaching (Performance), Teacher Effectiveness, Instructional Effectiveness, Data Use
Nancy Smith; Claus von Zastrow – Education Commission of the States, 2022
When the COVID-19 pandemic drove schools online in March 2020, state education leaders were left without access to data needed to understand how best to support students. The pandemic revealed the strengths and limitations of state education data systems while inspiring new strategies for collecting, reporting and using data. In 2021, DataSmith…
Descriptors: State Departments of Education, Data, Data Collection, Pandemics
Knotek, Steven E.; Dillon, Kerri A.; Toole, Emily N. – Journal of Educational and Psychological Consultation, 2022
Consultee-Centered Consultation (CCC) is built upon the use of a constructivist, interactive approach to support conceptual change in consultees. Constructivism is foundational in ethnographic traditions as well and it focuses on understanding socially constructed meaning-making in cultural groups. Given the importance of constructivism in both…
Descriptors: Consultation Programs, Ethnography, Culture, Qualitative Research
Han, Yuting; Wilson, Mark – Applied Measurement in Education, 2022
A technology-based problem-solving test can automatically capture all the actions of students when they complete tasks and save them as process data. Response sequences are the external manifestations of the latent intellectual activities of the students, and it contains rich information about students' abilities and different problem-solving…
Descriptors: Technology Uses in Education, Problem Solving, 21st Century Skills, Evaluation Methods
Shoaib, Muhammad; Sayed, Nasir; Amara, Nedra; Latif, Abdul; Azam, Sikandar; Muhammad, Sajjad – Education and Information Technologies, 2022
Technology and data analysis have evolved into a resource-rich tool for collecting, researching and comparing student achievement levels in the classroom. There are sufficient resources to discover student success through data analysis by routinely collecting extensive data on student behaviour and curriculum structure. Educational Data Mining…
Descriptors: Prediction, Artificial Intelligence, Student Behavior, Academic Achievement
Data Quality Campaign, 2022
Five years ago, California's education data lagged far behind the systems in most other states. However, state leaders and education advocates undertook a purposeful engagement and design process to build a data system that represents the state's values and meets different stakeholders' needs. This case study on California's P-20W Cradle-to-Career…
Descriptors: Data, Data Collection, Design, Inclusion
Perez, Nancy; Mercier, Betsy – Center for IDEA Early Childhood Data Systems (DaSy), 2022
Since 2013, DaSy has tracked the status of Part C and Part B 619 state data systems to understand states' technical assistance needs, provide stakeholders with a national picture of what capacities state data systems have, and to track how those capacities are changing over time. Most recently, in spring of 2021, DaSy collected comprehensive…
Descriptors: Federal Legislation, Educational Legislation, Equal Education, Students with Disabilities
The Challenges of Large-Scale, Web-Based Language Datasets: Word Length and Predictability Revisited
Meylan, Stephan C.; Griffiths, Thomas L. – Cognitive Science, 2021
Language research has come to rely heavily on large-scale, web-based datasets. These datasets can present significant methodological challenges, requiring researchers to make a number of decisions about how they are collected, represented, and analyzed. These decisions often concern long-standing challenges in corpus-based language research,…
Descriptors: Data Analysis, Data Collection, Word Frequency, Prediction
Wise, Alyssa Friend – Journal of the Learning Sciences, 2020
This article discusses how each of the papers in this special issue explored some combination of subject, audience, and data scientist perspectives with an eye toward helping students situate their relationship to data. Specifically, within the data scientist perspective, the papers examined a variety of ways in which students can relate to data…
Descriptors: Data, Information Science Education, Multiple Literacies, Relationship
Wilkerson, Michelle Hoda; Polman, Joseph L. – Journal of the Learning Sciences, 2020
The emerging field of Data Science has had a large impact on science and society. This has led to over a decade of calls to establish a corresponding field of Data Science Education. There is still a need, however, to more deeply conceptualize what a field of Data Science Education might entail in terms of scope, responsibility, and execution.…
Descriptors: Data, Information Science Education, Learning, Data Collection
Phillips, Tanner M.; Saleh, Asmalina; Ozogul, Gamze – International Journal of Artificial Intelligence in Education, 2023
Encouraging teachers to reflect on their instructional practices and course design has been shown to be an effective means of improving instruction and student learning. However, the process of encouraging reflection is difficult; reflection requires quality data, thoughtful analysis, and contextualized interpretation. Because of this, research on…
Descriptors: Reflection, Artificial Intelligence, Natural Language Processing, Data Collection

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