通过人工智能驱动的元学习策略提高元认知和创造力技能

Khusnul Khotimah, Rusijono, Andi Mariono
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引用次数: 0

摘要

本研究调查了元学习方法在提高元认知和创造性技能方面的功效。这项定量研究以一个实验组为重点,采用一组前测-后测的研究设计。所有参与者都接受了前测,以评估他们最初的元认知能力,随后在整个课程中接触元学习框架。为评估干预的效果,还进行了一次后测。结果表明,从预测试到后测试,学生的元认知能力有了统计学意义上的显著提高。这项研究证实了元学习策略的有效性,并阐明了元学习与元认知之间的关系。元学习能让学生理解自己的学习过程,从而在人工智能(AI)的帮助下提高他们制定策略、监督和控制认知功能的能力。这种方法融入了能激发元认知思维的创造性元素,鼓励学生调整学习策略,打破思维定势。这项研究表明,元学习可以提高元认知能力,为高等教育环境中的教育技术和课程设计提供了宝贵的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Metacognitive and Creativity Skills through AI-Driven Meta-Learning Strategies
This study investigates the efficacy of a meta-learning approach in improving metacognitive and creative skills. This quantitative study focused on an experimental group using a onegroup pretest-posttest research design. All participants underwent a pretest to assess their initial metacognitive abilities and were subsequently exposed to a meta-learning framework throughout the course. A post-test was conducted to assess the impact of the intervention. The findings indicate a statistically significant improvement in metacognitive skills from the pretest to the post-test. This study confirms the effectiveness of meta-learning strategies and elucidates the relationship between meta-learning and metacognition. Meta-learning enables students to comprehend their own learning processes, thereby improving their capacity to strategize, oversee, and control their cognitive functions with the assistance of artificial intelligence (AI). This approach incorporates creative elements that can stimulate metacognitive thinking, encouraging students to adjust their learning strategies and think outside the box. This research suggests that meta-learning can improve metacognitive abilities, providing valuable insights into educational technology and course design in higher education settings.
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