Using an engagement lens to model active learning in the geosciences

Using an engagement lens to model active learning in the geosciences
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使用订婚镜头模拟地球科学中的主动学习

DOI:
10.1080/10899995.2021.1913715
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发表时间:
2021
影响因子:
--
通讯作者:
van der Hoeven Kraft, K. J.
van der Hoeven Kraft, K. J.
中科院分区:
--
文献类型:
--
作者:
LaDue, N. D.;McNeal, P. M.;Ryker, K.;St. John, K.;van der Hoeven Kraft, K. J.

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主动学习研究来自本科STEM教育实践社区,其中一些人被认为是基于学科的教育研究人员(DBER)。因此,目前的主动学习框架在很大程度上是归纳的,并基于在本科教学和学习中观察到的新兴模式。或者,经典的学习理论历史上起源于教育心理学社区,通常采取理论驱动或演绎研究方法。更广泛的跨学科教育研究界现在正在努力调和这两者。也就是说,主动学习理论与其他知识建构理论有何不同?我们讨论了主动学习的基础,在地球科学,借鉴现有的文献从教育心理学社区的参与。根据Sinatra et al.参与框架,我们提出了一个模型,在地球科学主动学习的四个维度:行为,情感,认知和agentic。然后,我们连接现有的文献从地球科学教育界的模型,以展示我们的文献基础和机会,主动学习地球科学教育研究(格尔)前进目前的差距。我们提出了以下建议,为未来的调查主动学习在地球科学:(1)连接未来的格尔到我们的主动学习在地球科学的模型,(2)测量更多的内容学习,(3)文件的研究方法和成果的效果大小,以积累证据,(4)优先研究的维度主动学习必不可少的地球科学。
Active learning research emerged from the undergraduate STEM education communities of practice, some of whom identify as discipline-based education researchers (DBER). Consequently, current frameworks of active learning are largely inductive and based on emergent patterns observed in undergraduate teaching and learning. Alternatively, classic learning theories historically originate from the educational psychology community, which often takes a theory-driven, or deductive research approach. The broader transdisciplinary education research community is now struggling to reconcile the two. That is, how is a theory of active learning distinct from other theories of knowledge construction? We discuss the underpinnings of active learning in the geosciences, drawing upon extant literature from the educational psychology community on engagement. Based on Sinatra et al. engagement framework, we propose a model for active learning in the geosciences with four dimensions: behavioral, emotional, cognitive, and agentic. We then connect existing literature from the geoscience education community to the model to demonstrate the current gaps in our literature base and opportunities to move the active learning geoscience education research (GER) forward. We propose the following recommendations for future investigation of active learning in the geosciences: (1) connect future GER to our model of active learning in the geosciences, (2) measure more than content learning, (3) document research methods and outcomes with effect sizes to accumulate evidence, and (4) prioritize research on dimensions of active learning essential to the geosciences.
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