语言学习和重新连接生物认知受体的游戏
Sri Takshara K1, Bhuvaneswari G1, T S Pradeep Kumar2
1School of Social Sciences and Languages, Vellore Institute of Technology, Vandalur - Kelambakkam Road, Chennai, 600 127 Tamil Nadu, India.
MethodsX
|January 23, 2025
概括
这项研究提出了一个基于人工智能,基于神经科学的框架,用于基于游戏的语言教学 (GBLT),以增强视力障碍学生的学习. 它利用自适应性人工智能和表观遗传学来促进神经变化,在低压力环境中改善记忆力,弹性和认知灵活性.
科学领域:
- 神经科学是一个神经科学.
- 教育心理学教育心理学
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 人工智能的人工智能
背景情况:
- 传统的语言教学方法对视力受损的学习者构成挑战.
- 现有的基于游戏的语言教学 (GBLT) 可以通过整合神经科学原则来增强.
- 视力受损的学习者从量身定制的教育方法中受益,这些教育方法解决了认知和情感需求.
研究的目的:
- 为人工智能驱动的GBLT提出一个包容性,跨学科的框架,整合神经科学和表观遗传学.
- 为视障学生创造个性化,游戏化的学习体验.
- 为了增强神经通路,记忆保留,情绪弹性和认知灵活性.
主要方法:
- 整合适应性人工智能,提供个性化的学习体验.
- 神经可塑性和表观遗传原理在课程设计中的应用.
- 创造低压力,沉浸式和有益的教育环境.
- 使用游戏化技术来推动参与和动机.
主要成果:
- 证明了重塑神经通路和改善记忆保留的潜力.
- 有证据表明,触发积极的表观遗传变化可以提高认知灵活性.
- 培养情绪性,促进学习者可持续的福祉.
- 促进整体发展,包括认知,情感,社会和生物成长.
结论:
- 拟议的框架为视力受损的学习者提供了包容性语言教育的新方法.
- 整合人工智能,神经科学和表观遗传学可以优化学习成果,促进终身发展.
- 这种跨学科模式赋予学习者权力,并通过增强语言学习来支持可持续的福祉.
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