计算机模拟和动画综合教学对科学教师职前培训学员对《酸碱化学》和《化学计量学》的概念理解和保持的影响

Q1 Social Sciences
Eshetu Desalegn Alemneh, Dereje Andargie Kidanemariam, Solomon Melesse Mengstie, Belete Bedemo Beyene
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引用次数: 0

摘要

本研究旨在探討電腦模擬和動畫整合教學對職前科學教師培訓課程學員對酸鹼化學和計量學的概念理解和保持的影響。本研究采用了前测-后测-延迟测试准实验设计的定量方法。在研究区域内,自然科学系只有两个一年级的受训者。因此,采用了对两个完整班级进行综合抽样的技术。这两个完整的班级被随机分配到干预组(IG)和对比组(CG)。数据采用酸碱化学和化学计量学概念理解双层选择测验(ABSCUT)收集。数据分析采用了参数统计(独立样本 t 检验和方差分析)。独立样本 t 检验用于测试前分析,以考察两组学员和 IG 男女学员在干预前的先决经验。结果显示,CG 和 IG 的平均得分无明显差异。结果还显示,IG 组男女学员的平均得分也无明显差异。干预后,采用方差分析进行后测和延迟测试分析。结果表明,两组学员在概念理解方面存在显著差异,F(1,49)=5.07,P=.029,部分 eta 平方=0.094,IG 组更胜一筹。这往往意味着接受干预的学员的概念理解能力优于对比组。方差分析结果还表明,性别差异对 IG 没有统计学意义,F(1,24)=3.68,p=.067。延迟测试分析表明,IG 的保持率高于 CG。根据研究结果,本研究建议政策制定者、化学课程专家、化学教材编写者和从业人员考虑应用计算机模拟整合化学教学,以提高学习者对概念的理解和保持率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of computer simulation and animation-integrated instruction on pre-service science teacher trainees conceptual understanding and retention of Acid-Base Chemistry and Stoichiometry
The study aimed to investigate the effect of computer simulation and animation-integrated instruction on pre-service science teacher trainees' conceptual understanding and retention of acid-base chemistry and stoichiometry. A quantitative approach with a pretest–posttest-delayed test quasi-experimental design was used. In the study area, there were only two sections of first-year trainees in the natural science department. So a comprehensive sampling technique of the two intact sections was employed. The two intact classes were randomly assigned to an intervention group (IG) and a comparison group (CG). Data was collected using Acid-Base Chemistry and Stoichiometry Conceptual Understanding of a two-tier multiple-choice Test (ABSCUT). Parametric statistics (independent sample t-test and ANCOVA) were used for the data analysis. The independent sample t-test was used for the pre-test analysis to examine the prerequisite experiences of trainees in the two groups and male and female trainees in the IG before the intervention. The result showed no significant difference between the mean score of the CG and IG. The result also showed no significant difference in the mean score of male and female trainees in the IG. The ANCOVA was used for post-test and delayed test analysis after the intervention. The result indicated that there was a statistically significant difference between the two groups on conceptual understanding, F (1, 49) =5.07, p=.029, partial eta squared=0.094, in favor of IG. This tends to imply the concepts of the trainees who received the intervention outperformed the comparison group. The ANCOVA result also indicated that gender difference has no statistically significant difference in the IG, F(1,24)=3.68, p=.067. The delayed-test analysis showed that the IG has higher retention than the CG. Based on the results, this study recommended that policymakers, chemistry curriculum experts, chemistry curricular material developers, and practitioners alike consider the application of computer simulation-integrated chemistry instruction to enhance learners’ conceptual understanding and retention.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
45
审稿时长
7 weeks
期刊介绍: JOTSE is an international Journal aiming at publishing interdisciplinary research within the university education framework and it is especially focused on the fields of Technology and Science. JOTSE serves as an international forum of reference for Engineering education. Teaching innovation oriented, the journal will be issued twice per year (every 6 months) and will include original works, research and projects dealing with the new learning methodologies and new learning supporting tools related to the wide range of disciplines the Engineering studies and profession involve. In addition, JOTSE will also issue special numbers on more technological themes from the different areas of general interest in the industrial world, which may be used as practical cases in classroom tuition and practice. Thereby, getting the working world reality closer to the learning at University. Among other areas of interest, our Journal will be focused on: 1. Education 2.General Science (Physics, Chemistry, Maths,…) 3.Telecommunications 4.Electricity and Electronics 5.Industrial Computing (Digital, Analogic, Robotics, Ergonomics) 6.Aerospatial (aircraft design and building, engines, materials) 7. Automotive (automotive materials, automobile emissions).
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