The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions
Fuente:
arXiv
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| Autori principali: | , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866911095014293504 |
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| author | Gao, Nan Liu, Yibin Tang, Xin Liu, Yanyan Yu, Chun Huang, Yun Wang, Yuntao Salim, Flora D. Xu, Xuhai Orson Wei, Jun Shi, Yuanchun |
| author_facet | Gao, Nan Liu, Yibin Tang, Xin Liu, Yanyan Yu, Chun Huang, Yun Wang, Yuntao Salim, Flora D. Xu, Xuhai Orson Wei, Jun Shi, Yuanchun |
| contents | Parental involvement in homework is a crucial aspect of family education, but it often triggers emotional strain and conflicts. Despite growing concern over its impact on family well-being, prior research has lacked access to fine-grained, real-time dynamics of these interactions. To bridge this gap, we present a framework that leverages naturalistic parent-child interaction data and large language models (LLMs) to analyse homework conversations at scale. In a four-week in situ study with 78 Chinese families, we collected 475 hours of audio recordings and accompanying daily surveys, capturing 602 homework sessions in everyday home settings. Our LLM-based pipeline reliably extracted and categorised parental behaviours and conflict patterns from transcribed conversations, achieving high agreement with expert annotations. The analysis revealed significant emotional shifts in parents before and after homework, 18 recurring parental behaviours and seven common conflict types, with Knowledge Conflict being the most frequent. Notably, even well-intentioned behaviours were significantly positively correlated with specific conflicts. This work advances ubiquitous computing methods for studying complex family dynamics and offers empirical insights to enrich family education theory and inform more effective parenting strategies and interventions in the future. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_01325 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions Gao, Nan Liu, Yibin Tang, Xin Liu, Yanyan Yu, Chun Huang, Yun Wang, Yuntao Salim, Flora D. Xu, Xuhai Orson Wei, Jun Shi, Yuanchun Human-Computer Interaction Parental involvement in homework is a crucial aspect of family education, but it often triggers emotional strain and conflicts. Despite growing concern over its impact on family well-being, prior research has lacked access to fine-grained, real-time dynamics of these interactions. To bridge this gap, we present a framework that leverages naturalistic parent-child interaction data and large language models (LLMs) to analyse homework conversations at scale. In a four-week in situ study with 78 Chinese families, we collected 475 hours of audio recordings and accompanying daily surveys, capturing 602 homework sessions in everyday home settings. Our LLM-based pipeline reliably extracted and categorised parental behaviours and conflict patterns from transcribed conversations, achieving high agreement with expert annotations. The analysis revealed significant emotional shifts in parents before and after homework, 18 recurring parental behaviours and seven common conflict types, with Knowledge Conflict being the most frequent. Notably, even well-intentioned behaviours were significantly positively correlated with specific conflicts. This work advances ubiquitous computing methods for studying complex family dynamics and offers empirical insights to enrich family education theory and inform more effective parenting strategies and interventions in the future. |
| title | The Homework Wars: Exploring Emotions, Behaviours, and Conflicts in Parent-Child Homework Interactions |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2502.01325 |