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Wise, Steven L.; Kingsbury, G. Gage – Applied Measurement in Education, 2022
In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…
Descriptors: Achievement Tests, Performance, Classification, Guessing (Tests)
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Kuthe, Alina; Keller, Lars; Körfgen, Annemarie; Stötter, Hans; Oberrauch, Anna; Höferl, Karl-Michael – Journal of Environmental Education, 2019
Under the premise that the young generation of teenagers cannot be considered to be uniform, this study identified groups of teenagers based on their level of climate change awareness. Questionnaires answered by 760 teenagers (13-16 years old) from Germany and Austria were analyzed using a hierarchical cluster analysis. The teenagers were assigned…
Descriptors: Classification, Climate, Environmental Influences, Secondary School Students
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Amerstorfer, Carmen M. – Studies in Second Language Learning and Teaching, 2018
Has the "Strategy Inventory for Language Learning" (SILL) passed its expiry date? The SILL (Oxford, 1990) was designed as a self-evaluation tool to measure the frequency of language learning strategies used by foreign and second language (L2) learners. With simple mathematics, learners can analyze their strategy preferences overall and…
Descriptors: Mixed Methods Research, Second Language Learning, Second Language Instruction, Learning Strategies
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
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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
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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