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Teacher Knowledge for Active-Learning Instruction: Expert–Novice Comparison Reveals Differences

机译:主动学习型教师的知识:专家与新手的比较揭示了差异

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This study examined teacher knowledge important to effective active-learning instruction in large college biology courses by comparing expert and novice thinking. Experts paid attention to particular aspects of instruction more frequently than novices and reasoned more deeply as they evaluated and made suggestions about how to improve lessons. Active-learning strategies can improve science, technology, engineering, and mathematics (STEM) undergraduates’ abilities to learn fundamental concepts and skills. However, the results instructors achieve vary substantially. One explanation for this is that instructors commonly implement active learning differently than intended. An important factor affecting how instructors implement active learning is knowledge of teaching and learning. We aimed to discover knowledge that is important to effective active learning in large undergraduate courses. We developed a lesson-analysis instrument to elicit teacher knowledge, drawing on the theoretical construct of teacher noticing. We compared the knowledge used by expert ( n = 14) and novice ( n = 29) active-learning instructors as they analyzed lessons. Experts and novices differed in what they noticed, with experts more commonly considering how instructors hold students accountable, topic-specific student difficulties, whether the instructor elicited and responded to student thinking, and opportunities students had to generate their own ideas and work. Experts were also better able to support their lesson analyses with reasoning. This work provides foundational knowledge for the future design of preparation and support for instructors adopting active learning. Improving teacher knowledge will improve the implementation of active learning, which will be necessary to widely realize the potential benefits of active learning in undergraduate STEM.
机译:本研究通过比较专家和新手的思维,研究了对大型大学生物学课程中有效的主动学习教学重要的教师知识。与新手相比,专家们更加关注教学的特定方面,并且在评估和提出改进课程建议时,他们进行了更深入的思考。主动学习策略可以提高科学,技术,工程和数学(STEM)大学生的学习基本概念和技能的能力。但是,讲师所达到的结果差异很大。对此的一种解释是,教师通常以不同于预期的方式实施主动学习。影响教师如何实施主动学习的重要因素是教与学的知识。我们旨在发现对于在大型本科课程中有效主动学习至关重要的知识。我们利用教师注意的理论结构,开发了一种用于分析教师知识的课程分析工具。我们比较了专家(n = 14)和新手(n = 29)主动学习讲师在分析课程时所使用的知识。专家和新手在注意的内容上有所不同,专家通常会考虑教师如何使学生承担责任,针对特定主题的学生困难,教师是否引起并回应学生的思想以及学生必须产生自己的想法和工作的机会。专家也更有能力用推理来支持他们的课程分析。这项工作为将来的准备设计提供基础知识,并为采用主动学习的讲师提供支持。改善教师知识将改善主动学习的实施,这对于广泛认识到主动学习在本科STEM中的潜在益处将是必要的。

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