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Kwon, Kyungbin; Shin, Suhkyung; Brush, Thomas A.; Glazewski, Krista D.; Edelberg, Thomas; Park, Su Jin; Khlaif, Zuheir; Nadiruzzaman, Hamid; Alangari, Husa – Interactive Learning Environments, 2018
This study examined the types of learning behaviors students demonstrated while performing inquiry tasks. It also explored the relationship between the learning behaviors and students' domain knowledge. We observed fourteen students in five groups during a ninth-grade biology course. Three types of learning behaviors (inquiry, collaborative, and…
Descriptors: Inquiry, Problem Based Learning, Cooperative Learning, Grade 9
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Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design
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Lin, Yu-Tzu; Chang, Chia-Hu; Hou, Huei-Tse; Wu, Ke-Chou – Interactive Learning Environments, 2016
This study investigated the effectiveness of using Google Docs in collaborative concept mapping (CCM) by comparing it with a paper-and-pencil approach. A quasi-experimental study was conducted in a physics course. The control group drew concept maps using the paper-and-pencil method and face-to-face discussion, whereas the experimental group…
Descriptors: Internet, Search Engines, Concept Mapping, Cooperative Learning