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Guiyun Feng; Honghui Chen – Education and Information Technologies, 2025
Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…
Descriptors: Educational Research, Artificial Intelligence, Data Use, Algorithms
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Natalija Bošnjakovic; Ivana Ðurdevic Babic – Technology, Knowledge and Learning, 2025
To improve and facilitate the acquisition of learning outcomes, teachers often use innovative teaching methods such as gamification to keep students' attention and increase their motivation. In recent years, the use of educational data mining (EDM) methods to explore academic topics has increased. With the expansion of EDM, a gap in the literature…
Descriptors: Data Collection, Gamification, Teaching Methods, Attention
Rebeka Man – ProQuest LLC, 2024
In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…
Descriptors: Data, Data Analysis, Data Use, Higher Education
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Bernadine Sengalrayan; Blane Harvey – Evidence & Policy: A Journal of Research, Debate and Practice, 2025
Background: This study examines the engagement of knowledge users in knowledge mobilisation (KMb) research on Canadian K-12 teaching and education policy. Research on and around KMb has grown in the decade since this field was first assessed comprehensively. Thus, it is timely to re-evaluate if current knowledge producer-user relationships in KMb…
Descriptors: Foreign Countries, Elementary Secondary Education, Educational Research, Educational Researchers
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Ayhan Duygulu; Sibel Dogan; Sevgi Yildiz – Journal of Theoretical Educational Science, 2025
The purpose of this study is to develop a valid and reliable scale to determine and evaluate the different dimensions of data literacy at school. The study is a quantitative descriptive survey model. The sampling for exploratory factor analysis was formed of 307 and confirmatory factor analysis 338 teachers and school administrators who are on…
Descriptors: Data, Literacy, Test Construction, Measures (Individuals)
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Kaitlyn Coburn; Kris Troy; Carly A. Busch; Naomi Barber-Choi; Kevin M. Bonney; Brock Couch; Marcos E. García-Ojeda; Rachel Hutto; Lauryn Famble; Matt Flagg; Tracy Gladding; Anna Kowalkowski; Carlos Landaverde; Stanley M. Lo; Kimberly MacLeod; Blessed Mbogo; Taya Misheva; Andy Trinh; Rebecca Vides; Erik Wieboldt; Cara Gormally; Jeffrey Maloy – CBE - Life Sciences Education, 2025
Trans* and genderqueer student retention and liberation is integral for equity in undergraduate education. While STEM leadership calls for data-supported systemic change, the erasure and othering of trans* and genderqueer identities in STEM research perpetuates cisnormative narratives. We sought to characterize how sex and gender data are…
Descriptors: LGBTQ People, Transgender People, Disproportionate Representation, Educational Research
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Evenstein Sigalov, Shani; Nachmias, Rafi – Education and Information Technologies, 2023
Wikidata is a free, multilingual, open knowledge-base that stores structured, linked data. It has grown rapidly and as of December 2022 contains over 100 million items and millions of statements, making it the largest semantic knowledge-base in existence. Changing the interaction between people and knowledge, Wikidata offers various learning…
Descriptors: Collaborative Writing, Electronic Publishing, Data, Data Use
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Cassandra Artman Collier; Anne L. Powell – Journal of Information Systems Education, 2024
As organizations' reliance on data increases, the prevalence of data analytics programs in universities likewise increases. However, despite this specialized education, scholars still report a gap between the knowledge and skills students graduate with and those required by industry upon beginning work as an entry-level data analyst. We draw on…
Descriptors: Data Analysis, Information Systems, Educational Research, Data Collection
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Karly B. Ball; Rachel Elizabeth Traxler – International Journal of Research & Method in Education, 2024
As Twitter's (or X's) influence permeates aspects of education, researchers must consider how to ethically and effectively leverage the unique types of data that this social media platform offers. This paper provides recommended methodological practice considerations for working with qualitative Twitter data toward the advancement of education…
Descriptors: Educational Research, Research Methodology, Social Media, Ethics
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Jelena Veletic; Ana María Mejía-Rodríguez; Rolf Vegar Olsen – Review of Education, 2024
The Teaching and Learning International Survey (TALIS) collects data from representative samples of teachers and principals across the world about their practices and work conditions, school and classroom contexts, and attitudes, motivation, and satisfaction with their profession and jobs. Given the growth of participating countries, the number of…
Descriptors: Administrator Surveys, Teacher Surveys, Educational Trends, Futures (of Society)
Data Quality Campaign, 2021
Data reflects a series of decisions made by people--and those decisions affect the story that data tells, what it captures, and how it can and should be used to inform decision-making. Because of this, mistrust in data is often the result of incomplete information and a lack of context. This resource breaks down what it means to build trust in…
Descriptors: Data Use, Data Collection, Data Analysis, Bias
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Feldman-Maggor, Yael; Barhoom, Sagiv; Blonder, Ron; Tuvi-Arad, Inbal – Education and Information Technologies, 2021
Research based on educational data mining conducted at academic institutions is often limited by the institutional policy with regard to the type of learning management system and the detail level of its activity reports. Often, researchers deal with only raw data. Such data normally contain numerous fictitious user activities that can create a…
Descriptors: Data Analysis, Educational Research, Data Processing, Learning Analytics
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Ali Kürsat Erümit; Hasan Yigit Cebeci; Sefa Özmen – TechTrends: Linking Research and Practice to Improve Learning, 2024
Although big data applications in education have different usage areas, they can make important contributions to the evaluation of universities and education systems, decision-making and strategy development, and improvement of the education system. In this study, which is considered to contribute to the academicians who will work on big data in…
Descriptors: Data Use, Higher Education, Bibliometrics, Educational Research
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Yanzheng Li; Zorka Karanxha – Educational Management Administration & Leadership, 2024
This systematic literature review critically evaluates 14 empirical studies published over a 14 years span (2006-2019) to answer questions about the models and the effects of transformational school leadership on student academic achievement. The analysis of the related literature utilized vote counting and narrative synthesis to delineate the…
Descriptors: Transformational Leadership, Instructional Leadership, Academic Achievement, Models
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Xiong Luo – International Journal of Web-Based Learning and Teaching Technologies, 2024
However, although existing models for evaluating the effectiveness of universities provide a large number of modeling solutions, it is difficult to objectively evaluate dynamic coefficients based on the differences in precision ideological and political work systems of different types of universities in the evaluation process of innovative paths…
Descriptors: Educational Research, Ideology, Political Issues, Models
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