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Van Horn, Jordan – Working Papers in TESOL & Applied Linguistics, 2017
This case study analyzed data from an asynchronous written mediated exchange between a native speaker and nonnative speaker of English. Three methods of analysis-error analysis, propositional complexity (idea units), and qualitative analysis were used to analyze learner performance over time. The results from these methods were visualized and…
Descriptors: Error Patterns, Case Studies, Applied Linguistics, Error Analysis (Language)
Ata, Ridvan – Turkish Online Journal of Educational Technology - TOJET, 2016
This study explores teaching experiences of educators within the virtual world of Second Life (SL) and pedagogical practices adopted. A blended approach is applied by using physical classrooms, BlackboardTM, web-based resources, and the virtual world of SL in an Information Literacy (IL) class for 1st year undergraduate students at an institution…
Descriptors: Foreign Countries, Teaching Experience, Web Based Instruction, Computer Simulation
Lee, Brason – Multiple Voices for Ethnically Diverse Exceptional Learners, 2014
This study applies a diagnostic errors framework to identify and classify mistakes that were made in a psychoeducational assessment of a bilingual student who was misidentified as a person with autism. Findings of diagnostic errors were categorized under four domains--faulty knowledge, faulty data gathering, faulty data processing, and faulty…
Descriptors: Bilingualism, Evaluation Methods, Error Patterns, Knowledge Level
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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