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Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
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Hopkins, Michael T. – Music Education Research, 2019
The purpose of this study was to apply Fautley's model-- [Faultley, Martin. 2005. "A New Model of the Group Composing Process of Lower Secondary School Students." "Music Education Research" 7 (1): 39-57. doi:10.1080/14613800500042109]of the group composing process to the analysis of a collaborative composing project in a lower…
Descriptors: Musical Composition, Group Activities, Musicians, Grade 7
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Pella, Shannon – Teacher Education Quarterly, 2015
A common theme has been consistently woven through the literature on teacher professional development: that practice-based designs and collaboration are two components of effective teacher learning models. In addition to collaboration and practice-based designs, inquiry cycles have been long recognized as catalysts for teacher professional…
Descriptors: Affordances, Evidence Based Practice, Professional Development, Inquiry
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Berkovich, Izhak; Eyal, Ori – Journal of Educational Administration, 2017
Purpose: The purpose of this paper is to do methodological review of the literature on educational leaders and emotions that includes 49 empirical studies published in peer-reviewed journals between 1992 and 2012. Design/methodology/approach: The work systematically analyzes descriptive information, methods, and designs in these studies, and their…
Descriptors: Instructional Leadership, Educational Administration, Educational Research, Journal Articles
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Liu, Yating; Manouchehri, Azita – Investigations in Mathematics Learning, 2013
In this work we explored proof schemes used by 41 middle school students when confronted with four mathematical propositions that demanded verification of accuracy of statements. The students' perception of mathematically complete vs. convincing arguments in different mathematics branches was also elicited. Lastly, we considered whether the…
Descriptors: Mathematics Instruction, Middle School Students, Secondary School Mathematics, Mathematical Logic
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Pardos, Zachary A.; Baker, Ryan S. J. D.; San Pedro, Maria O. C. Z.; Gowda, Sujith M.; Gowda, Supreeth M. – Journal of Learning Analytics, 2014
In this paper, we investigate the correspondence between student affect and behavioural engagement in a web-based tutoring platform throughout the school year and learning outcomes at the end of the year on a high-stakes mathematics exam in a manner that is both longitudinal and fine-grained. Affect and behaviour detectors are used to estimate…
Descriptors: Affective Behavior, Student Behavior, Learner Engagement, Web Based Instruction
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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
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