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Liu, Qingtang; Zhang, Si; Wang, Qiyun; Chen, Wenli – IEEE Transactions on Learning Technologies, 2018
Teachers' online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured text data, it is necessary to integrate the inductive content analysis method and educational data mining…
Descriptors: Information Retrieval, Data Collection, Data Analysis, Discourse Analysis
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Yu, Lan; Suen, Hoi K.; Lei, Pui-Wa – Journal of Educational Research & Policy Studies, 2008
Conventional data collection and analyses to evaluate opportunity to learn (OTL) is time and energy intensive. We propose an extension of an alternative approach suggested by Winfield (1993) by using a method to detect differential item functioning (DIF) to select items. These items are then used as initial indicators of possible difference in OTL…
Descriptors: Urban Schools, Test Bias, Test Items, Foreign Countries
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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