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Cary K. Jim; Yvonne Dooley – Journal of Electronic Resources Librarianship, 2024
Digital disparities have been a concern among different communities across the U.S. The lack of an integrated approach to evaluate digital connectivity limits our understanding of where and what the differences are to address digital equity. This research utilized broadband internet open data and other government datasets to evaluate the status of…
Descriptors: Telecommunications, Internet, Access to Computers, Geographic Location
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Mohamad Reza Farangi; Mohamad Khojastemehr – Journal of Academic Ethics, 2024
The present study used quantitative and qualitative measures to examine Iranian applied linguists' (mis-) conceptions of ethical issues in research. For this purpose, one hundred and twelve applied linguists completed a research ethics questionnaire constructed and validated by the researchers. In the follow-up qualitative phase, 15 applied…
Descriptors: Ethics, Applied Linguistics, Questionnaires, Data Collection
Samantha Ravens – ProQuest LLC, 2024
This policy analysis examined the intersection of a statistical model and locus of control to recommend an accountability model that best upholds the criteria of equity, efficacy, and impact on student learning for Missouri schools. Using Eugene Bardach's eightfold path and informed by the quality education in schools framework, this analysis…
Descriptors: Elementary Secondary Education, School Districts, State School District Relationship, State Policy
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Mark Nichols – Open Learning, 2024
Learning analytics promise significant benefit to online education providers through improved, better-targeted student services. Much has been written about the potential of analytics and how they might be technically implemented, and various ethical considerations are published highlighting the significant potential risk of gathering,…
Descriptors: Learning Analytics, Ethics, Guidelines, Policy Formation
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Xiaohui Luo; Yueqin Hu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…
Descriptors: Structural Equation Models, Longitudinal Studies, Data Analysis, Causal Models
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Kelsey N. Klindt; Alice Ann Holland; Alison Wilkinson-Smith; Catherine Karni; Alexis Clyde – Journal of Psychoeducational Assessment, 2024
Parent rating scales are used at increasing rates across disciplines to track child development and determine diagnoses/needs. This study explored relationships among parental stress and the validity of parents' ratings of their child's behaviors. Participants include children who were referred for assessment of behavioral, social-emotional, and…
Descriptors: Parent Attitudes, Rating Scales, Stress Variables, Child Behavior
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Haim, Aaron; Gyurcsan, Robert; Baxter, Chris; Shaw, Stacy T.; Heffernan, Neil T. – International Educational Data Mining Society, 2023
Despite increased efforts to assess the adoption rates of open science and robustness of reproducibility in sub-disciplines of education technology, there is a lack of understanding of why some research is not reproducible. Prior work has taken the first step toward assessing reproducibility of research, but has assumed certain constraints which…
Descriptors: Conferences (Gatherings), Educational Research, Replication (Evaluation), Access to Information
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Dake, Delali Kwasi; Gyimah, Esther – Education and Information Technologies, 2023
Text analytics in education has evolved to form a critical component of the future SMART campus architecture. Sentiment analysis and qualitative feedback from students is now a crucial application domain of text analytics relevant to institutions. The implementation of sentiment analysis helps understand learners' appreciation of lessons, which…
Descriptors: Feedback (Response), College Students, Psychological Patterns, Algorithms
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Batool, Saba; Rashid, Junaid; Nisar, Muhammad Wasif; Kim, Jungeun; Kwon, Hyuk-Yoon; Hussain, Amir – Education and Information Technologies, 2023
Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many advantages that educational institutions can achieve. Along these lines, various data mining techniques have been used to improve learning outcomes by exploring large-scale data that…
Descriptors: Academic Achievement, Prediction, Data Use, Information Retrieval
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Ihrmark, Daniel; Tyrkkö, Jukka – Education for Information, 2023
The combination of the quantitative turn in linguistics and the emergence of text analytics has created a demand for new methodological skills among linguists and data scientists. This paper introduces KNIME as a low-code programming platform for linguists interested in learning text analytic methods, while highlighting the considerations…
Descriptors: Linguistics, Data Science, Programming, Data Analysis
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Akkaya, Burcu – International Journal of Contemporary Educational Research, 2023
This study focuses on Grounded Theory, which is one of the qualitative research designs. Glaser and Strauss developed the Grounded Theory; it has been revised by other scientists, resulting in three distinct Grounded Theory approaches: the systematic design (Corbin and Strauss approach), the classical design (Glaser approach), and the…
Descriptors: Grounded Theory, Systems Approach, Design, Data
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Ning, Xiaoke – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the vigorous development of intelligent campus construction, great changes have taken place in the development of information technology in colleges and universities from the previous digital to intelligent development. In the teaching process, the analysis of students' classroom learning has also changed from the previous manual observation…
Descriptors: College Students, Algorithms, Student Behavior, Artificial Intelligence
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Sutters, Justin P. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2023
Scholars in the field of art education have varied professional trajectories, yet they are networked in academia, both through their advisors as well as through the universities in which they completed their graduate degrees. This study makes these complex relationships visible through the use of visualizations and an interactive website created…
Descriptors: Art Education, Visualization, Computer Software, Data Analysis
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Jiang, Shiyan; Tang, Hengtao; Tatar, Cansu; Rosé, Carolyn P.; Chao, Jie – Learning, Media and Technology, 2023
It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation to grow up surrounded by AI, to understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made to engage youth in understanding AI through…
Descriptors: Artificial Intelligence, High School Students, Models, Classification
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Hwang, Jackelyn; Dahir, Nima; Sarukkai, Mayuka; Wright, Gabby – Sociological Methods & Research, 2023
Visual data have dramatically increased in quantity in the digital age, presenting new opportunities for social science research. However, the extensive time and labor costs to process and analyze these data with existing approaches limit their use. Computer vision methods hold promise but often require large and nonexistent training data to…
Descriptors: Data Analysis, Visual Aids, Sanitation, Municipalities
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