宏
微型计算机
群(周期表)
数学教育
算术
计算机科学
数学
物理
程序设计语言
电信
炸薯条
量子力学
作者
Jianqiang Ye,Shanshan Lu,Hualin Bi
出处
期刊:Chemistry Education. Research and Practice
[The Royal Society of Chemistry]
日期:2019-01-01
卷期号:20 (1): 288-301
被引量:10
摘要
This study uses graphs of conductivity measured by a microcomputer-based laboratory (MBL) to promote students’ macro, micro, and symbolic representations when learning about net ionic reactions (NIR). A total of 54 students, aged 14–15 years old participated in this research, and were randomly divided into an experimental group (N= 27) and a control group (N= 27). The students in the experimental group were given graphs of conductivity measured by MBL, while the control group had a demonstration of acid–base titration experiments. The results reveal that the graphs of conductivity have a large effect on students’ macro, micro, and symbolic representations, that is, the students in the experimental group build more representations than the students in the control group.
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