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Magooda, Ahmed; Litman, Diane – Grantee Submission, 2021
This paper explores three simple data manipulation techniques (synthesis, augmentation, curriculum) for improving abstractive summarization models without the need for any additional data. We introduce a method of data synthesis with paraphrasing, a data augmentation technique with sample mixing, and curriculum learning with two new difficulty…
Descriptors: Data Analysis, Synthesis, Documentation, Models
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Johanna Schoenherr; Stanislaw Schukajlow – ZDM: Mathematics Education, 2024
External visualization (i.e., physically embodied visualization) is central to the teaching and learning of mathematics. As external visualization is an important part of mathematics at all levels of education, it is diverse, and research on external visualization has become a wide and complex field. The aim of this scoping review is to…
Descriptors: Visualization, Mathematics Education, Educational Research, Pictorial Stimuli
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Tianqin Shi; Seung Jun Lee; Qingying Li – Decision Sciences Journal of Innovative Education, 2024
Smart supply chain management (SSCM) has recently attracted significant attention from both industry and academia, particularly in light of the COVID pandemic. This article reviews current literature on information and integration, process automation, advanced analytics, and related business curriculum in SSCM. Our survey results demonstrate a…
Descriptors: Supply and Demand, Information Management, Automation, Business Administration Education
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Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
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Irina Usanova; Birger Schnoor; Irit Bar-Kochva; Hannes Schröter – International Journal of Bilingual Education and Bilingualism, 2024
In the present study, we combined the Focus on Multilingualism approach with the human capital theory to investigate multilingual profiles among first-generation adult immigrants in Germany and the relationship between immigrants' multiliteracy and their employment status. We used data representative for Germany on the self-reported literacy…
Descriptors: Foreign Countries, Immigrants, Human Capital, Multilingualism
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Narjes Rohani; Behnam Rohani; Areti Manataki – Journal of Educational Data Mining, 2024
The prediction of student performance and the analysis of students' learning behaviour play an important role in enhancing online courses. By analysing a massive amount of clickstream data that captures student behaviour, educators can gain valuable insights into the factors that influence students' academic outcomes and identify areas of…
Descriptors: Mathematics Education, Models, Prediction, Knowledge Level
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Robert C. Lorenz; Mirjam Jenny; Anja Jacobs; Katja Matthias – Research Synthesis Methods, 2024
Conducting high-quality overviews of reviews (OoR) is time-consuming. Because the quality of systematic reviews (SRs) varies, it is necessary to critically appraise SRs when conducting an OoR. A well-established appraisal tool is A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2, which takes about 15-32 min per application. To save time,…
Descriptors: Decision Making, Time Management, Evaluation Methods, Quality Assurance
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Wudhijaya Philuek – Asian Journal of Education and Training, 2024
The objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in…
Descriptors: Artificial Intelligence, Stress Variables, Depression (Psychology), Academic Achievement
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Gabriella Roby Dodd; Cedric Gondro; Tasia M.Taxis; Margaret Young; Breno Fragomeni – NACTA Journal, 2024
The objectives of this study were to identify gaps in educational training for undergraduate and graduate students in agricultural data science, propose paths for filling these gaps, and provide an annotated list of resources currently available to different training levels. Data in this study was collected through three voluntary surveys catered…
Descriptors: Data Science, Statistics Education, Agriculture, Genetics
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Lin Lin; Danhua Zhou; Jingying Wang; Yu Wang – SAGE Open, 2024
The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in…
Descriptors: Data Analysis, Educational Research, Geographic Regions, Periodicals
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Qusai Khraisha; Sophie Put; Johanna Kappenberg; Azza Warraitch; Kristin Hadfield – Research Synthesis Methods, 2024
Systematic reviews are vital for guiding practice, research and policy, although they are often slow and labour-intensive. Large language models (LLMs) could speed up and automate systematic reviews, but their performance in such tasks has yet to be comprehensively evaluated against humans, and no study has tested Generative Pre-Trained…
Descriptors: Peer Evaluation, Research Reports, Artificial Intelligence, Computer Software
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Jeffrey Matayoshi; Shamya Karumbaiah – Journal of Educational Data Mining, 2024
Various areas of educational research are interested in the transitions between different states--or events--in sequential data, with the goal of understanding the significance of these transitions; one notable example is affect dynamics, which aims to identify important transitions between affective states. Unfortunately, several works have…
Descriptors: Models, Statistical Bias, Data Analysis, Simulation
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David Hodgson; Reinie Cordier; Lauren Parsons; Brontë Walter; Fadzai Chikwava; Lynelle Watts; Stian Thoresen; Matthew Martinez; Donna Chung – International Journal of Social Research Methodology, 2024
Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…
Descriptors: Research Methodology, Data Analysis, Data Collection, Matrices
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Yan Xia; Selim Havan – Educational and Psychological Measurement, 2024
Although parallel analysis has been found to be an accurate method for determining the number of factors in many conditions with complete data, its application under missing data is limited. The existing literature recommends that, after using an appropriate multiple imputation method, researchers either apply parallel analysis to every imputed…
Descriptors: Data Interpretation, Factor Analysis, Statistical Inference, Research Problems
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Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
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