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Williams Ezinwa Nwagwu – Education and Information Technologies, 2025
The analysis of citation patterns in the scholarly landscape of data literacy using data collected from Scopus and analysed using Vosviewer reveals significant findings. Initially, 997 documents were identified, averaging 52 per year, but a criterion of 10 citations per document narrowed down the subset to 205 documents, indicating substantial…
Descriptors: Citation Analysis, Educational Research, Scholarship, Data
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Lam Ho Cheong – Educational Research for Policy and Practice, 2025
Education research for practice is in need of textbook studies, especially those having well-defined theoretical framework. This paper is an attempt to apply phenomenography in textbook research. It begins with a review of four existing types of textbook studies found in the literature. Next, the main features of phenomenography (qualitative…
Descriptors: Research Methodology, Phenomenology, Educational Research, Textbook Research
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Kayla Marcotte; Phillip Yang; M. Andrew Millis; Christian J. Vercler; Stefanie S. Sebok-Syer; Andrew E. Krumm; Brian C. George – Advances in Health Sciences Education, 2025
Learning analytics are increasingly used in medical education to analyze data and make decisions about learners' abilities. While there are many potential benefits of using learning analytics to drive improvement in medical education, there are also ethical concerns surrounding how this may affect learners and their patients. We conducted a…
Descriptors: Learning Analytics, Medical Education, Data Use, Reliability
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Gaoxia Zhu; Chew Lee Teo; Aloysius Kian-Keong Ong; Katherine Guangji Yuan; Chin Lee Ker; Yuqin Yang – Education and Information Technologies, 2025
Preparing the new generation to be data-literate citizens is a pressing challenge, and some explorations have been made to cultivate K-12 students' data science skills and attitudes. However, there is a lack of instructional models to guide the design of data science programs in K-12 due to its complex and interdisciplinary nature as well as the…
Descriptors: Data Science, Skill Development, Secondary School Students, Cooperative Learning
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Maarten van der Velde; Malte Krambeer; Hedderik van Rijn – International Educational Data Mining Society, 2025
Ensuring the integrity of results in online learning and assessment tools is a challenge, due to the lack of direct supervision increasing the risk of fraud. We propose and evaluate a machine learning-based method for detecting anomalous behaviour in an online retrieval practice task, using an XGBoost classifier trained on keystroke dynamics and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Behavior, Information Retrieval
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Seiyon M. Lee; Sami Baral; Hongming Chip Li; Li Cheng; Shan Zhang; Carly S. Thorp; Jennifer St. John; Tamisha Thompson; Neil Heffernan; Anthony F. Botelho – Journal of Educational Data Mining, 2025
Teachers often use open-ended questions to promote students' deeper understanding of the content. These questions are particularly useful in K-12 mathematics education, as they provide richer insights into students' problem-solving processes compared to closed-ended questions. However, they are also challenging to implement in educational…
Descriptors: Feedback (Response), Taxonomy, Data Analysis, Middle School Mathematics
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Bahareh Ghodoosi; Geraldine Torrisi; Tracey West – International Journal of Adult Education and Technology, 2025
Organisational success increasingly depends on data-driven decision-making, which is making data literate talent essential. However, building a data-literate workforce is challenging, as data literacy is complex, context-dependent, and varies across sectors. This study explores the challenges middle managers face in using data for decision-making…
Descriptors: Information Literacy, Data Use, Decision Making, Foreign Countries
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Benjamin Alcott; Suman Bhattacharjea; Ricardo Sabates; Ankita Jha; Maria Khwaja; Preeti Manchanda; Akanksha Pandey; Purnima Ramanujan; Wilima Wadhwa; Poorva Shekher; Pratik Wadmare – International Journal of Research & Method in Education, 2025
Reflexivity in quantitative research is central to questioning the ways in which the data is designed, collected and interpreted. It requires the researcher to be reflexive about their knowledge, their positionality, and the bias they may bring at each stage of the research. Unfortunately, though, limited evidence exists on the use of reflexive…
Descriptors: Foreign Countries, Research Design, Statistical Analysis, Test Construction
Melissa Moultroup – New England College Journal of Applied Educational Research, 2025
High teacher attrition rates may contribute to educational inequity for students, primarily for those who are members of marginalized communities. Currently, teacher retention rates are lowest in low-income, high-minority schools and districts. As one way to level the playing field, educational leaders may be able to use teacher mentor programs to…
Descriptors: Mentors, Beginning Teachers, Experienced Teachers, Program Implementation
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Jacob S. Bennett; Colleen Fitzpatrick; Stanley Trent – Educational Researcher, 2025
On December 2, 2020, the Institute of Education Sciences (IES) published a summary report from their technical working group titled "Increasing Diversity and Representation of IES-Funded Education Researchers." A major barrier to diversifying funded researchers described was that many scholars did not believe the institute funded…
Descriptors: Federal Aid, Grants, Research Projects, Data Collection
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Julie A. Woodzicka; Karla Klein Murdock; Lisa Greer; Dan R. Johnson; Toni Locy; Arthur H. Goldsmith – Assessment Update, 2025
Much has been written about bias in student evaluations of teaching (SETs), and efforts have been made to develop evaluation forms that minimize the risk of bias in students' responses. The authors created a fully qualitative open-ended SET instrument, along with a standard process to summarize and interpret results for use by all undergraduate…
Descriptors: Student Evaluation of Teacher Performance, Student Attitudes, Bias, Universities
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Jiangang Hao; Wenju Cui; Patrick Kyllonen; Emily Kerzabi; Lei Liu; Michael Flor – Journal of Educational Measurement, 2025
Collaborative problem solving is widely recognized as a critical 21st-century skill. Assessing collaborative problem solving depends on coding the communication data using a construct-relevant framework, and this process has long been a major bottleneck to scaling up such assessments. Based on five datasets and two coding frameworks, we…
Descriptors: Cooperative Learning, Problem Solving, 21st Century Skills, Automation
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Stoo Sepp – Journal of Learning Analytics, 2025
As learning analytics practices become more commonplace in educational settings, student knowledge about the collection and use of their data becomes more of an interest. How students perceive the collection and use of their data has been researched for many years, with legitimate privacy and ethical concerns raised. While various guidelines,…
Descriptors: Accountability, Learning Analytics, Information Dissemination, College Students
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Lewis A. Bonney; Chong Ho Yu – Journal of School Leadership, 2025
The study addressed leadership knowledge sharing among elementary school principals. School principals' comments regarding difficulty sharing what they have learned on the job about leadership gave impetus to investigating components of leadership that are not readily shared. Their comments implied both limited opportunities and limited language…
Descriptors: Principals, Elementary Schools, Knowledge Level, Leadership Styles
Tim Gill – Cambridge University Press & Assessment, 2025
This report is focused on the uptake of GCSE subjects in England in 2024. Uptake in a GCSE subject is defined as the number or percentage of students at the end of Key Stage 4 (KS4) taking the subject. This report was produced using publicly available data from the Department for Education's (DfE) "Find and compare schools in England"…
Descriptors: Foreign Countries, Secondary Education, Exit Examinations, Academic Education
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