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Zheng, Longwei; Gibson, David; Gu, Xiaoqing – Interactive Learning Environments, 2019
This study extends the understanding of the process of teachers' technology adoption by investigating the dynamic nature of the adoption process. We propose a nonhomogeneous hidden Markov model that reveals the dynamics of teachers' adoption over time and examines the impact of internal and external factors, including experiences, interventions,…
Descriptors: Adoption (Ideas), Technology Integration, Electronic Publishing, Textbooks
Fuchs, Lynn S.; Powell, Sarah R.; Seethaler, Pamela M.; Fuchs, Douglas; Hamlett, Carol L.; Cirino, Paul T.; Fletcher, Jack M. – Exceptional Children, 2010
This article introduces a framework for the remediation of number combination (NC) deficits. Research on the remediation of NC deficits is summarized, and research program studies are used to illustrate the 3 approaches to remediation. The Framework comprises a 2-stage system of remediation. The less intensive stage implementing 1 of 3…
Descriptors: Intervention, Student Reaction, Remedial Instruction, Numeracy
Ozkan, Betul C. – Qualitative Report, 2004
This article describes how a qualitative data analysis package, NVivo, was used in a study of authentic and constructivist learning and teaching in the classroom. The paper starts with a summary of the research study in which NVivo was used to analyze the data and overviews the methodology that was adopted in this study. It, then, describes how…
Descriptors: Constructivism (Learning), Qualitative Research, Research Methodology, Data 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

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