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Development and Assessment of Self-explaining Skills in College Chemistry Instruction.

机译:大学化学教学中自我解释能力的发展和评估。

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摘要

The prevalent trend in chemistry instruction relies on what has been described as the classroom game. In this model, students take a passive role and the instructor does all the explaining (thinking), and learning is trivialized to knowing the correct answers (memorizing) and being able to produce them when prompted (regurgitating). The generation of explanations is central to scientific and technological development. In the process of figuring out explanations, the generation of inferences relies on the application of skills associated with scientific behaviors (e.g., analytical reasoning and critical thinking). The process of explanation generation causes a deeper analysis and revision of the scientific models, thus impacting the conceptual understanding of such models. Although the process of generating authentic explanations is closer to the experience of doing science, this process is seldom replicated in science instruction.;Self-explaining refers to the generation of inferences about causal connections between objects and events. In science, this may be summarized as making sense of how and why actual or hypothetical phenomena take place. Research findings in educational psychology show that implementing activities that elicit self-explaining improves learning in general and specifically enhances authentic learning in the sciences. Research also suggests that self-explaining influences many aspects of cognition, including acquisition of problem-solving skills and conceptual understanding. Although the evidence that links self-explaining and learning is substantial, most of the research has been conducted in experimental settings.;The purpose of this work was to advance knowledge in this area by investigating the effect of different self-explaining tasks on self-explaining behavior and the effect of engaging in different levels of self-explaining on learning chemistry concepts. Unlike most of the research in the field, this work did not focus on advancing procedural knowledge through self-explanation of examples or conceptual understanding through self-explanation of textual information and concepts. Instead, it focused on an experience closer to doing science by presenting a familiar phenomenon to the participants and a fact that would potentially induce cognitive imbalance to then prompt them to self-explain.;This work used a multi-condition, mixed-method approach to categorize students' self-explaining behaviors in response to learning tasks and link it to the performance in a post-learning task. Students were randomly assigned to conditions that included the following: studying an experts' explanation, explaining correct and incorrect answers, explaining agreement with another's answer, and explaining one's own answer for others to use. Data were gathered in the classroom ecology of a university, large-enrollment general chemistry course. Content and construct validity evidence support the functionality of the research instruments for the assessment of conceptual understanding of entropy and the Second Law of Thermodynamics. An in-depth analysis of the post-learning task showed that the data collected from the instrument is reliable, consistent and reproducible.;Findings supported an association between the self-explaining tasks and students' self-explaining behaviors. Results showed distinct categorical self-explaining behaviors in students' written responses. These self-explaining behaviors were associated with the self-explaining task given to the students. Thoughtful design of learning tasks can effectively elicit engagement in sophisticated self-explaining in natural, large-enrollment college chemistry classroom environments. Comparison analyses of performance in the post-learning task suggested that in the context of large-enrollment college chemistry classroom environments, self-explaining activities improved students' conceptual understanding in chemistry.;Overall, the work showed that students can self-explain chemical phenomena and apply the underlying chemistry concepts in the resolution of novel problems without direct intervention of an instructor. This work supports the incorporation of self-explaining activities in the repertoire of teaching practices of both experienced and novice instructors for general chemistry courses.
机译:化学教学中的流行趋势依赖于课堂游戏。在此模型中,学生扮演被动角色,教师进行所有解释(思考),学习变得无足轻重,以了解正确答案(记忆)并能够在提示时产生答案(反省)。产生解释对于科学技术发展至关重要。在弄清解释的过程中,推论的产生取决于与科学行为相关的技能的应用(例如,分析推理和批判性思维)。解释的产生过程导致对科学模型进行更深入的分析和修订,从而影响了对此类模型的概念理解。尽管产生真实解释的过程更接近科学实践,但该过程很少在科学教学中重复。自解释是指有关对象与事件之间因果关系的推论的产生。在科学中,这可以概括为理解实际或假设现象发生的方式和原因。教育心理学方面的研究结果表明,开展引起自我解释的活动可以总体上改善学习,特别是可以增强科学中的真实学习。研究还表明,自我解释会影响认知的许多方面,包括获得解决问题的能力和概念性理解。尽管有充分的证据说明自我解释和学习之间的联系,但大多数研究都是在实验环境中进行的。这项工作的目的是通过研究不同的自我解释任务对自我解释的影响来增进这一领域的知识。解释行为和参与不同水平的自我解释对学习化学概念的影响。与该领域的大多数研究不同,这项工作并没有将重点放在通过自我解释实例来促进程序知识或通过自我解释文本信息和概念来进行概念理解。取而代之的是,它着重于通过向参与者展示一个熟悉的现象和一个可能导致认知失衡从而促使他们自我解释的事实来接近科学的经历;这项工作采用了一种多条件,混合方法的方法。根据学生的学习任务对学生的自我解释行为进行分类,并将其与学习后任务中的表现联系起来。将学生随机分配给以下条件:研究专家的解释,解释正确和错误的答案,解释与他人的答案达成一致以及解释自己的答案供他人使用。数据是在大学的课堂生态学中,大量招收的普通化学课程。内容和结构效度证据支持研究工具的功能,以评估对熵的概念理解和热力学第二定律。对学习后任务的深入分析表明,从仪器收集的数据是可靠,一致和可重现的。研究结果支持自我解释任务与学生自我解释行为之间的联系。结果表明,学生的书面回答中存在明显的分类自我解释行为。这些自我解释的行为与赋予学生的自我解释任务有关。精心设计的学习任务可以有效地激发学生在自然,高入学率的大学化学课堂环境中进行复杂的自我解释的能力。在学习后任务中的表现比较分析表明,在大批大学化学课堂环境下,自我解释活动提高了学生对化学的概念理解。总体而言,这项工作表明学生可以自我解释化学现象。并在不需要教师直接干预的情况下将基础化学概念应用于解决新问题。这项工作支持将自解释活动纳入普通化学课程的经验丰富的和新手讲师的教学实践中。

著录项

  • 作者

    Villalta-Cerdas, Adrian.;

  • 作者单位

    University of South Florida.;

  • 授予单位 University of South Florida.;
  • 学科 Chemistry General.;Education Sciences.;Education Higher.;Education Evaluation.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 213 p.
  • 总页数 213
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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