Promoting learning in complex systems: effect of question prompts versus system dynamics model progressions as a cognitive-regulation scaffold in a simulation-based inquiry-learning environment

Deniz Eseryel, Victor Law
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引用次数: 4

Abstract

Designing effective technology-based learning environments is challenging. Designing effective technology-based learning environments to facilitate learning about complex knowledge domains is more challenging. To a large extent, the key to the puzzle lies in identifying which scaffolding strategies are more effective; and under which conditions. In a simulation-based inquiry-learning environment, this controlled study investigated the effect of two promising scaffolding strategies; question prompts and system dynamics model progressions, on ninth-grade biology students' cognitive regulation and complex problem-solving skills. For simpler complex problems, findings suggested that both scaffolding strategies were equally effective. However, as the problems increased in complexity, system dynamics model progressions were significantly more effective for facilitating both cognitive regulation and complex problem-solving skills.
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在复杂系统中促进学习:在基于模拟的探究学习环境中,作为认知调节支架的问题提示与系统动力学模型进展的影响
设计有效的基于技术的学习环境是具有挑战性的。设计有效的基于技术的学习环境来促进复杂知识领域的学习更具挑战性。在很大程度上,解决这个难题的关键在于确定哪种支架策略更有效;在什么条件下。在基于模拟的探究学习环境中,本研究调查了两种有前途的脚手架策略的效果;九年级生物学生认知调节与复杂问题解决技巧之问题提示与系统动力学模型进展。对于更简单的复杂问题,研究结果表明两种脚手架策略同样有效。然而,随着问题复杂性的增加,系统动力学模型的进展在促进认知调节和复杂问题解决能力方面显着更有效。
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