元认知的深入研究:道德推理和情感成熟的深刻工具

Sunder Kala Negi, Yaisna Rajkumari, Minakshi Rana
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引用次数: 3

摘要

研究了元认知对学生道德理想和情感发展的影响,重点介绍了元认知与人工智能之间的合作研究,可以弥补人工智能存在的差距(情感、伦理、道德推理、常识)。该研究共选取了200名学生作为样本。参与者(100名高元认知学生和100名低元认知学生)被随机选择,年龄从17岁到21岁不等。采用t检验研究元认知对学生道德理想和情感发展的影响。结果显示,高元认知学生的道德推理平均分为66.77分,低元认知学生的道德推理平均分为63.08分,t值= 3.21,在0.01水平上,具有高度统计学意义。高元认知学生的平均情绪成熟度得分为29.99,低元认知学生的平均情绪成熟度得分为33.01,t值为2.81,在0.05水平上有统计学意义。这表明,分数越高,学生的情绪越不稳定。目前的研究结果表明,元认知思维对道德推理和情感成熟度有重要影响,并且随着元认知水平的提高,道德推理和情感成熟度也会提高。元认知可以增强人工智能所缺乏的人文素质。此外,元认知研究为人工智能的研究开辟了新的途径,具有重要的未来意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A deep dive into metacognition: Insightful tool for moral reasoning and emotional maturity

The impact of metacognition on pupils' moral ideals and emotional development was investigated as well as it highlights on a collaborative research between metacognition and artificial intelligence that can bridge the gap (emotional, ethical, moral reasoning, common sense) existing in AI. A total of 200 pupils were selected in the study's sample. Participants (100 high metacognitive students and 100 low metacognitive students) were chosen at random and ranged in age from 17 to 21 years old. The influence of metacognition on students' moral ideals and emotional development was studied using a t-test. The outcome reveals that the mean score of moral reasoning on high metacognitive students as 66.77 and for low metacognitive students as 63.08, t value = 3.21, at the 0.01 level, statistically highly significant. The mean emotional maturity score for high metacognitive students was 29.99, while for low metacognitive students was 33.01, t value as 2.81, shows statistically significant at the 0.05 level. This demonstrates that the higher the score, the less emotionally stable the pupils are. The current findings show that metacognitive thinking has a major impact on moral reasoning and emotional maturity, and that as metacognition levels rise, so do moral reasoning and emotional maturity. Metacognition can strengthen the humanistic qualities which are majorly lacking in AI. In addition, there are new avenues being opened in the study of artificial intelligence via metacognitive study which is significant and futuristic.

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来源期刊
Neuroscience informatics
Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology
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