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arXiv 1802.02707physics.ed-phnlin.AO
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基于访谈的高等教育中复杂系统教学的开创性经验研究

An interview based study of pioneering experiences in teaching and learning Complex Systems in Higher Education

Joseph T. Lizier, Michael S. Harré, Melanie Mitchell, Simon DeDeo, Conor Finn, Kristian Lindgren, Amanda L. Lizier, Hiroki Sayama

摘要:

由于复杂系统作为一个领域的跨学科性质,在大学学习复杂系统的学生有不同的学科背景。这为课堂带来了挑战(例如广泛的计算机编程技能),但也带来了机会(例如促进跨学科的互动和项目)。然而,很少有关于这些挑战和机遇是如何处理在教学和学习复杂系统作为一个明确的主题在高等教育,以及如何这与其他学科领域相比有所不同。我们寻求探索这些特殊的挑战和机遇,通过基于访谈的研究开拓教师和学习者(作者之间进行)关于他们的经验。我们比较和对比这些经验,并分析他们的教育文献。我们的讨论探讨了:课程设计的方法,教学理论/模型/框架如何为决策和经验提供信息,如何处理学生背景的多样性,以及评估任务设计。我们发现,在所表达的问题以及处理这些问题的策略中,有着惊人的共性,例如,对基于问题的学习的重视,以及使用学生主导的主要创意项目来实现和评估学习成果。

英文摘要:

Due to the interdisciplinary nature of complex systems as a field, students studying complex systems at University level have diverse disciplinary backgrounds. This brings challenges (e.g. wide range of computer programming skills) but also opportunities (e.g. facilitating interdisciplinary interactions and projects) for the classroom. However, there is little published regarding how these challenges and opportunities are handled in teaching and learning Complex Systems as an explicit subject in higher education, and how this differs in comparison to other subject areas. We seek to explore these particular challenges and opportunities via an interview-based study of pioneering teachers and learners (conducted amongst the authors) regarding their experiences. We compare and contrast those experiences, and analyse them with respect to the educational literature. Our discussions explored: approaches to curriculum design, how theories/models/frameworks of teaching and learning informed decisions and experience, how diversity in student backgrounds was addressed, and assessment task design. We found a striking level of commonality in the issues expressed as well as the strategies to handle them, for example a significant focus on problem-based learning, and the use of major student-led creative projects for both achieving and assessing learning outcomes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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