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Integrating Model-Based Learning and Animations for Enhancing Students’ Understanding of Proteins Structure and Function

机译:整合基于模型的学习和动画,以增强学生对蛋白质结构和功能的理解

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This paper describes a study conducted in the context of chemistry education reforms in Israel. The study examined a new biochemistry learning unit that was developed to promote in-depth understanding of 3D structures and functions of proteins and nucleic acids. Our goal was to examine whether, and to what extent teaching and learning via model-based learning and animations of biomolecules affect students’ chemical understanding. Applying the mixed methods research paradigm, pre- and post-questionnaires as well as class-observations were employed in the collection, analysis, and interpretation of data. The research population included 175 grade twelve students, divided into three research groups: (a) hands-on exploration of animations, (b) teacher’s demonstrations of animations, (c) traditional learning using textbooks. Findings indicated that the integration of model-based learning and 3D animations enhanced students’ understanding of proteins’ structure and function and their ability to transfer across different levels of chemistry understanding. Findings also indicated that teachers’ demonstrations of animations may enhance students’ ‘knowledge’—a low order thinking skill; however, in order to enhance higher levels of thinking, students should be able to explore 3D animations on their own. Applying constructivist and interpretative analysis of the data, three themes were raised, corresponding to cognitive, affective, and social aspects of learning while exploring web-based models and animations.
机译:本文介绍了在以色列化学教育改革背景下进行的一项研究。这项研究检查了一个新的生物化学学习单元,该单元的开发旨在促进对3D结构以及蛋白质和核酸功能的深入了解。我们的目标是研究通过基于模型的学习和生物分子动画进行的教与学是否会影响学生的化学理解,以及在多大程度上影响学生的化学理解。应用混合方法的研究范式,在数据的收集,分析和解释中采用问卷调查前和问卷调查后以及分类观察。研究对象包括175个十二年级学生,分为三个研究小组:(a)动画的动手探索,(b)老师的动画演示,(c)使用教科书的传统学习。研究结果表明,基于模型的学习和3D动画的集成增强了学生对蛋白质结构和功能的理解,以及他们跨不同化学理解水平转移的能力。研究结果还表明,教师对动画的演示可以增强学生的“知识”,即低阶思维能力。但是,为了提高思维水平,学生应该能够自己探索3D动画。通过对数据进行建构主义和解释性分析,提出了三个主题,分别对应于在探索基于网络的模型和动画时学习的认知,情感和社会方面。

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