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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
Damaris D. E. Carlisle – Sage Research Methods Cases, 2025
This case study explores the use of large language models (LLMs) as analytical partners for data exploration and interpretation. Grounded in original research, it navigates the intricacies of using LLMs for uncovering themes from datasets. The study tackles various methodological and practical challenges encountered during the research process…
Descriptors: Artificial Intelligence, Natural Language Processing, Data Analysis, Data Interpretation
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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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Garcia, Léo Manoel Lopes da Silva; Lara, Daiany Francisca; Gomes, Raquel Salcedo; Cazella, Silvio Cézar – Turkish Online Journal of Educational Technology - TOJET, 2022
In educational data mining (EDM), preprocessing is an arduous and complex task and must promote an appropriate treatment of data to solve each specific educational problem. In the same way, the parameters used in the evaluation of postprocessing results are decisive in the interpretation of the results and decision-making in the future. These two…
Descriptors: Educational Research, Information Retrieval, Data Processing, Mathematics
Simon Moss; Line Knudsen; Noémie Bourguignon; Martin Wood – UK Department for Education, 2025
This Technical Annex report sets out methodological and technical notes for the 2024 Technical Education Learner Survey. It accompanies two substantive reports -- 'Technical Education Learner Survey 2024: progression of the 2nd T Level cohort' and 'Technical Education Learner Survey 2024: progression of Level 4/5 learners'. The main body of the…
Descriptors: Foreign Countries, Career and Technical Education, Educational Research, Research Methodology
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Luiz Rodrigues; Filipe Dwan Pereira; Marcelo Marinho; Valmir Macario; Ig Ibert Bittencourt; Seiji Isotani; Diego Dermeval; Rafael Mello – Education and Information Technologies, 2024
Intelligent Tutoring Systems (ITS) have been widely used to enhance math learning, wherein teacher's involvement is prominent to achieve their full potential. Usually, ITSs depend on direct interaction between the students and a computer. Recently, researchers started exploring handwritten input (e.g., from paper sheets) aiming to provide…
Descriptors: Intelligent Tutoring Systems, Handwriting, Equal Education, Access to Education
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Christine M. White; Stephanie A. Estrera; Christopher Schatschneider; Sara A. Hart – Grantee Submission, 2024
Researchers in the education sciences, like those in other disciplines, are increasingly encountering requirements and incentives to make the data supporting empirical research available to others. However, the process of preparing and sharing research data can be daunting. The present article aims to support researchers who are beginning to think…
Descriptors: Data, Educational Research, Information Dissemination, Incentives
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Turkkila, Miikka; Lavonen, Jari; Salmela-Aro, Katariina; Juuti, Kalle – Frontline Learning Research, 2022
Lately, new materialism has been proposed as a theoretical framework to better understand material-dialogic relationships in learning, and concurrently network analysis has emerged as a method in science education research. This paper explores how to include materiality in network analysis and reports the development of a method to construct…
Descriptors: Theories, Network Analysis, Science Education, Educational Research