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Li, Tiffany Wenting; Paquette, Luc – International Educational Data Mining Society, 2020
Spatial visualization skills are essential and fundamental to studying STEM subjects, and sketching is an effective way to practice those skills. One significant challenge of supporting practice using sketching questions is the vast number of possible mistakes, making it time-consuming for instructors to provide customized and actionable feedback…
Descriptors: Error Patterns, Cluster Grouping, Visualization, Spatial Ability
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Mushangwe, Herbert – Iranian Journal of Language Teaching Research, 2014
This study examined how technology can help in assessing and teaching Chinese tones to foreign students who are not used to tonal languages. It was an attempt to show how we can use the PRAAT software to make learners of Chinese as a foreign language realize their tonal errors. The data used was collected from the students at the University of…
Descriptors: Foreign Countries, Chinese, Second Language Instruction, Tone Languages
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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