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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
Luu, King; Freeman, John G. – Computers & Education, 2011
Despite the lack of substantial evidence for improvement in the quality of teaching and learning with information and communication technology (ICT), governmental organizations have pushed ICT as a means of providing broad-scale training to meet the demand for a skilled workforce, centred upon a hypothesized ICT-scientific literacy relationship.…
Descriptors: Foreign Countries, Educational Technology, Scientific Literacy, Gender Differences
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

Joiner, Richard; And Others – Computers & Education, 1996
Reports the results of a study of 65 United Kingdom primary school children that examined the effect of software type by comparing children's performance on a male stereotyped version of the software with a female stereotyped version. Topics include computer attitudes, computer experience, and software preferences. (Author/LRW)
Descriptors: Academic Achievement, Comparative Analysis, Computer Assisted Instruction, Computer Attitudes

Durndell, A.; Thomson, K. – Computers & Education, 1997
Describes a 1995 study of college freshmen at a Scottish university that examined use of computers, knowledge about information technology, and reasons for not studying computing. Gender differences are discussed and results are compared with earlier studies from 1992, 1989, and 1986. (LRW)
Descriptors: Analysis of Variance, College Freshmen, Comparative Analysis, Computer Science Education