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Lin, Yi-Chun; Lin, Yen-Ting; Huang, Yueh-Min – Computers & Education, 2011
Students learn new instructions well by building on relevant prior knowledge, as it affects how instructors and students interact with the learning materials. Moreover, studies have found that good prior knowledge can enable students to attain better learning motivation, comprehension, and performance. This suggests it is important to assist…
Descriptors: Expertise, Instructional Design, Test Results, Testing
Raes, Annelies; Schellens, Tammy; De Wever, Bram; Vanderhoven, Ellen – Computers & Education, 2012
This study investigated the impact of different modes of scaffolding on students who are learning science through a web-based collaborative inquiry project in authentic classroom settings and explored the interaction effects with students' characteristics. The intervention study aimed to improve "domain-specific knowledge" and "metacognitive…
Descriptors: Quasiexperimental Design, Student Attitudes, Prior Learning, Problem Solving
So, Hyo-Jeong; Choi, Hyungshin; Lim, Wei Ying; Xiong, Yao – Computers & Education, 2012
The aim of this study is to investigate the complexity of past experiences with ICT, pedagogical beliefs, and attitude toward ICT in education that the Net Generation student teachers have about their intention to teach and learn with technology. This study has a particular focus on their lived experiences as school students where ICT related…
Descriptors: Foreign Countries, Teaching Methods, Teacher Attitudes, Constructivism (Learning)
Thompson, Kate; Reimann, Peter – Computers & Education, 2010
A classification system that was developed for the use of agent-based models was applied to strategies used by school-aged students to interrogate an agent-based model and a system dynamics model. These were compared, and relationships between learning outcomes and the strategies used were also analysed. It was found that the classification system…
Descriptors: Prior Learning, Classification, Comparative Analysis, Models

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