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Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
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Juškaite, Loreta – International Baltic Symposium on Science and Technology Education, 2019
The new research results on the online- testing method in the Latvian education system for a learning process assessment are presented. Data mining is a very important field in education because it helps to analyse the data gathered in various researches and to implement the changes in the education system according to the learning methods of…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Data Use
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Pfirman, Stephanie; Hamilton, Lawrence; Turrin, Margie; Narveson, Craig; Lloyd, Carrie A. – Journal of Geoscience Education, 2021
This first analysis of aggregated data from the Kahoot! game-based player response system demonstrates that it can provide assessments of overall US student polar knowledge and identifies differences in polar knowledge across several states. A kahoot online quiz on polar topics recorded over 25,000 United States teacher-hosted classroom players…
Descriptors: Knowledge Level, Earth Science, Geographic Regions, Foreign Countries
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Wilson, Joshua; Wen, Huijing – Elementary School Journal, 2022
This study investigated fourth and fifth graders' metacognitive knowledge about writing and its relationship to writing performance to help identify areas that might be leveraged when designing effective writing instruction. Students' metacognitive knowledge was probed using a 30-minute informative writing prompt requiring students to teach their…
Descriptors: Elementary School Students, Metacognition, Writing Attitudes, Writing (Composition)
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Goodwin, Amanda; Petscher, Yaacov; Tock, Jamie – Journal of Research in Reading, 2021
Background: Middle school students use the information conveyed by morphemes (i.e., units of meaning such as prefixes, root words and suffixes) in different ways to support their literacy endeavours, suggesting the likelihood that morphological knowledge is multidimensional. This has important implications for assessment. Methods: The current…
Descriptors: Middle School Students, Morphology (Languages), Metalinguistics, Student Evaluation
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie – Grantee Submission, 2021
Background: Middle school students use the information conveyed by morphemes (i.e., units of meaning such as prefixes, root words and suffixes) in different ways to support their literacy endeavours, suggesting the likelihood that morphological knowledge is multidimensional. This has important implications for assessment. Methods: The current…
Descriptors: Morphology (Languages), Morphemes, Middle School Students, Knowledge Level
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Gane, Brian D.; Zaidi, Sania Z.; Pellegrino, James W. – European Journal of Education, 2018
In this article we describe the challenges associated with assessing complex competencies envisioned as the targets of learning in the 21st century. Such competencies typically reflect the integration of multiple dimensions of knowledge and skill. Technology plays a crucial role in their assessment, from conceptualisation through design, data…
Descriptors: Educational Technology, Technology Uses in Education, Skill Development, Scientific Literacy
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Molnar, Gyongyver; Hodi, Agnes; Magyar, Andrea – AERA Online Paper Repository, 2016
Vocabulary knowledge assessment methods and instruments have gone through a significant evolution. Computer-based tests offer more opportunities than their paper-and-pencil counterparts, however, most digital vocabulary assessments are linear and adaptive solutions in this domain are scarce. The aims of this study were to compare the effectiveness…
Descriptors: Adaptive Testing, Vocabulary Skills, Computer Assisted Testing, Student Evaluation
National Assessment Governing Board, 2014
Due to the growing importance of technology and engineering in the educational landscape, and to support America's ability to contribute to and compete in a global economy, the National Assessment Governing Board (NAGB) initiated development of the first NAEP Technology and Engineering Literacy (TEL) Assessment. Relating to national efforts in…
Descriptors: Technological Literacy, Technical Education, Engineering Education, National Competency Tests
Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018
This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…
Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection