Leveraging cognitive computing for advanced behavioral and emotional data insights
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 patte...
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Format: | Article |
Language: | English |
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KeAi Communications Co., Ltd.
2025-12-01
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Series: | International Journal of Cognitive Computing in Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666307424000597 |
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author | Chunhua Du Wei Wang |
author_facet | Chunhua Du Wei Wang |
author_sort | Chunhua Du |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-3ae23e1ff61448cf8adc81518908a7c6 |
institution | Kabale University |
issn | 2666-3074 |
language | English |
publishDate | 2025-12-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | International Journal of Cognitive Computing in Engineering |
spelling | doaj-art-3ae23e1ff61448cf8adc81518908a7c62025-01-04T04:57:05ZengKeAi Communications Co., Ltd.International Journal of Cognitive Computing in Engineering2666-30742025-12-016183190Leveraging cognitive computing for advanced behavioral and emotional data insightsChunhua Du0Wei Wang1Office of Development and Planning, Zhejiang A&F University, Hangzhou, 311300, China; Corresponding author.School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, ChinaThe 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.http://www.sciencedirect.com/science/article/pii/S2666307424000597Cognitive ComputingBehavioral Data AnalysisEmotional Data AnalysisStudent Mental HealthComplex Behavioral Patterns |
spellingShingle | Chunhua Du Wei Wang Leveraging cognitive computing for advanced behavioral and emotional data insights International Journal of Cognitive Computing in Engineering Cognitive Computing Behavioral Data Analysis Emotional Data Analysis Student Mental Health Complex Behavioral Patterns |
title | Leveraging cognitive computing for advanced behavioral and emotional data insights |
title_full | Leveraging cognitive computing for advanced behavioral and emotional data insights |
title_fullStr | Leveraging cognitive computing for advanced behavioral and emotional data insights |
title_full_unstemmed | Leveraging cognitive computing for advanced behavioral and emotional data insights |
title_short | Leveraging cognitive computing for advanced behavioral and emotional data insights |
title_sort | leveraging cognitive computing for advanced behavioral and emotional data insights |
topic | Cognitive Computing Behavioral Data Analysis Emotional Data Analysis Student Mental Health Complex Behavioral Patterns |
url | http://www.sciencedirect.com/science/article/pii/S2666307424000597 |
work_keys_str_mv | AT chunhuadu leveragingcognitivecomputingforadvancedbehavioralandemotionaldatainsights AT weiwang leveragingcognitivecomputingforadvancedbehavioralandemotionaldatainsights |