We propose that the effectiveness of simulations for science education depends on design features such as the type of representation chosen to depict key concepts. We hypothesize that the addition of iconic representations to simulations can help novice learners interpret the visual simulation interface and improve cognitive learning outcomes as well as learners' self-efficacy. This hypothesis was tested in two experiments with high school chemistry students. The studies examined the effects of representation type (symbolic versus iconic), prior knowledge, and spatial ability on comprehension, transfer, and self-efficacy under low cognitive load (Study 1, N=80) and high cognitive load conditions (Study 2, N=91). Results supported our hypotheses that design features such as the addition of iconic representations can help scaffold students' comprehension of science simulations, and that this effect was strongest for learners with low prior knowledge. Adding icons also improved learners' general self-efficacy.
Promoting student utilization of technology has been a challenging and persistent theme in education for the past twenty years. Many teachers find it difficult to interpret and transform their daily routines to incorporate new pedagogies to promote such skills. Given the emergence of new technologies including social network, Web 2.0, simulations and games, and pedagogical frameworks to support learning and teaching with technologies, teachers are expected to use technology not only as an assistive tool to accomplish certain objectives, but also as a well-coordinated stage where students can learn more meaningfully and authentically. The purpose of this chapter is to discuss definitions, frameworks, and examples of technology integration and to elaborate on four key principles of technology integration: authenticity, collaboration, inquiry, and scaffolding.
We argue that the effectiveness of simulations for science education depends on design features such as the type of representation chosen to depict key concepts. We hypothesize that the addition of iconic representations to simulations can help novice learners interpret the visual simulation interface and improve cognitive learning outcomes as well as learners’ self-efficacy. This hypothesis was tested in two experiments with high school chemistry students. The studies examined the effects of representation type (symbolic versus iconic), prior knowledge, and spatial ability on comprehension, knowledge transfer, and self-efficacy under low cognitive load (Study 1, N=80) and high cognitive load conditions (Study 2, N=91). Results supported our hypotheses that design features such as the addition of iconic representations can help scaffold students’ comprehension of science simulations, and that this effect was strongest for learners with low prior knowledge. Adding icons also improved learners’ general self-efficacy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.