Representational Technologies and Learner Problem-Solving Strategies in Chemistry
Representational Technologies and Learner Problem-Solving Strategies in Chemistry
复制标题
化学中的表征技术和学习者解决问题的策略
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Yuritzel Moreno
中科院分区：
文献类型：
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作者：
Brett McCollum;Ana Sepúlveda;Yuritzel Moreno
科学领域的学习通常是通过定量的角度来考虑的，但掌握化学中的符号表征可以说更类似于语言学习。表征能力是成功沟通化学信息的核心，包括分子组成、结构和性质。本文报道了在引入新的符号表征和表征技术时对学习者体验的定性研究。通过半结构化访谈和调查收集参与者对这些资源互动的描述，并使用现象学进行分析，以确定学生体验的多样性。结果说明了表征技术对学习者问题解决技术发展的影响。
Learning within the sciences is often considered through a quantitative lens, but acquiring proficiency with the symbolic representations in chemistry is arguably more akin to language learning. Representational competencies are central to successful communication of chemical information including molecular composition, structure, and properties. This article reports on a qualitative study of learner experiences when introduced to new symbolic representations and representational technologies. Participants’ descriptions of these resource interactions were collected through semi-structured interviews and surveys, and were analyzed using phenomenography to identify the variety in student experiences. Results illustrate the impact that representational technologies can have on learner development of problem-solving techniques.