绘制数学学习障碍的知识格局:对智力结构和研究前沿进行分析
Frontiers in psychology
|November 6, 2025
概括
数学学习障碍 (MLD) 影响数百万儿童. 研究趋势显示了对认知和神经因素的关注,未来的方向强调精确的诊断和干预.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 教育心理学教育心理学
背景情况:
- 数学学习障碍 (MLD) 影响全球5-10%的学龄儿童.
- 相关的学术和心理健康风险给社会带来了重大关注.
- 了解MLD机制对于早期干预至关重要.
研究的目的:
- 为了对MLD文献进行文献计量分析.
- 识别关键研究人员,基础论文,研究热点和发展轨迹.
- 为MLD的未来研究方向提供信息.
主要方法:
- 使用CiteSpace.Space进行图书统计可视化分析.
- 数据来源于科学网络.
- 对高度引用的作者,基础论文,研究热点和引用网络的分析.
主要成果:
- 确定了一个由七位被广泛引用的作者和十篇基础论文组成的核心组.
- 揭示了研究热点,包括认知,脑神经,社会文化和教育因素.
- 观察到发展轨迹中的循环模式:理论构建,实践验证和理论优化.
结论:
- 该研究提供了MLD研究格局的全面概述.
- 预计未来的MLD研究将专注于精确的诊断和系统的干预措施.
- 这一分析有助于理解MLD研究的演变和未来方向.
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