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Chang, Liang; Chen, Qianqian; Yang, Yuqin; Qian, Xuan – International Association for Development of the Information Society, 2019
This study investigated whether elementary students could collectively advance a knowledge-building discourse through judgments of promisingness and epistemic reflection. Supported by the Promising Idea Tool and its accompanying pedagogical design, 32 grade six students were involved in judging the promisingness of their community ideas, refining…
Descriptors: Reflection, Epistemology, Elementary School Students, Teaching Methods
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Kuhn, Deanna; Goh, Wendy; Iordanou, Kalypso; Shaenfield, David – Child Development, 2008
We report a study of a class of 28 sixth graders engaged in an extended computer-supported argumentive discourse activity. Participants collaborated with a same-side peer in arguing against successive pairs of peers on the opposing side of an issue. Meta-level awareness was facilitated by conducting the dialogs via instant messaging software,…
Descriptors: Computer Mediated Communication, Dialogs (Language), Grade 6, Social Support Groups
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Hwang, Wu-Yuin; Hsu, Guo-Liang – Turkish Online Journal of Educational Technology - TOJET, 2011
This study is aimed at investigating students' annotation behaviors and their effects on learning achievement with pre-reading (reading before class) exercises and Web-based sharing mechanisms. An 8-week quasi-experiment was conducted with 125 sixth-grade elementary school students. The study shows the following results. First, a significant…
Descriptors: Foreign Countries, Elementary School Students, Computer Assisted Instruction, Prior Learning
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