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Lin, C.-H.; Chiu, C.-H.; Hsu, C.-C.; Wang, T.-I.; Chen, C.-H. – Journal of Computer Assisted Learning, 2018
This study proposed a computerized inquiry-stage-dependent argumentation assistance and investigated whether this can help improve elementary students' performance in science processes and the construction of quality arguments. Various argumentation assistances were developed and incorporated into each stage of scientific inquiry in a…
Descriptors: Elementary School Students, Science Process Skills, Teaching Methods, Science Instruction
Chen, C.-H.; Chou, M.-H. – Journal of Computer Assisted Learning, 2015
Facing students' decreasing motivation to pursue scientific study, schools and educators need to coordinate new technologies with pedagogical agents to effectively sustain or promote students' scientific learning and motivation to learn. Although the provision of pedagogical agents in student learning has been studied previously, it is not clear…
Descriptors: Middle School Students, Learning, Student Motivation, Science Instruction
Hsu, P. -S.; Van Dyke, M.; Chen, Y.; Smith, T. J. – Journal of Computer Assisted Learning, 2015
The purpose of this quasi-experimental study was to explore how seventh graders in a suburban school in the United States developed argumentation skills and science knowledge in a project-based learning environment that incorporated a graph-oriented, computer-assisted application. A total of 54 students (three classes) comprised this treatment…
Descriptors: Quasiexperimental Design, Grade 7, Suburban Schools, Persuasive Discourse
Starbek, P.; Erjavec, M. Starcic; Peklaj, C. – Journal of Computer Assisted Learning, 2010
The main goal of this study was to explore whether the use of multimedia in genetics instruction contributes more to students' knowledge and comprehension than other instructional modes. We were also concerned with the influence of different instructional modes on the retention of knowledge and comprehension. In a quasi-experimental design, four…
Descriptors: Comprehension, Quasiexperimental Design, Prior Learning, Genetics