Leveraging cognitive computing for advanced behavioral and emotional data insights

International Journal of Cognitive Computing in Engineering Pub Date : 2025-12-01 Epub Date: 2024-12-30 DOI:10.1016/j.ijcce.2024.12.005

Chunhua Du , Wei Wang

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引用次数: 0

Abstract

The rapid advancement of cognitive computing has reshaped the landscape of behavioral and emotional data analysis across multiple fields. In the area of student mental health research, cognitive computing emerges as a pivotal tool, enabling deeper insights into complex behavioral and emotional patterns. This paper explores the application of cognitive computing on behavioral-emotional data analysis, detailing its role, transformative benefits, and inherent challenges in addressing mental health issues among students. Through comprehensive data analysis, we identify the primary factors driving current mental health concerns in student populations and evaluate the practical applications of cognitive computing in mitigating these issues. Furthermore, this paper provides an in-depth examination of how cognitive computing can drive innovative, data-driven solutions to enhance our understanding and management of behavioral and emotional health, positioning it as a crucial technology for proactive mental health support in educational settings.

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利用认知计算进行高级行为和情感数据洞察

认知计算的快速发展重塑了跨多个领域的行为和情感数据分析的格局。在学生心理健康研究领域，认知计算作为一种关键工具出现，使人们能够更深入地了解复杂的行为和情感模式。本文探讨了认知计算在行为-情绪数据分析中的应用，详细介绍了它在解决学生心理健康问题中的作用、变革益处和固有挑战。通过全面的数据分析，我们确定了导致学生群体当前心理健康问题的主要因素，并评估了认知计算在缓解这些问题方面的实际应用。此外，本文还深入研究了认知计算如何推动创新的、数据驱动的解决方案，以增强我们对行为和情绪健康的理解和管理，并将其定位为教育环境中主动心理健康支持的关键技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Cognitive Computing in Engineering

CiteScore

13.80

自引率

0.00%

发文量