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Division of Labor and Collaboration Between Parents in Family Education

Ziyi Wang, Congrong Zhang, Jingying Deng, Xiaofan Hu, Jie Cai, Nan Gao, Chun Yu, Haining Zhang

TL;DR

This study investigates how homework tutoring labor is divided among mothers, fathers, and children in urban Chinese families with children in grades 1–3, uncovering hidden cognitive and emotional workloads and pronounced gender dynamics. Through 18 in-depth interviews, it reveals a triadic father–mother–child system in which the child’s responses trigger cycles of breakdown and renegotiation, shaping coparenting over time. The authors argue for AI that prioritizes relational maintenance—via collaborative annotation, child-centered narrative timelines, and joint reflection—rather than direct automation of tutoring tasks. This work advances feminist and care-oriented HCI by making invisible domestic labor legible and offering context-sensitive pathways to more durable, equitable coparenting in family learning settings.

Abstract

Homework tutoring work is a demanding and often conflict-prone practice in family life, and parents often lack targeted support for managing its cognitive and emotional burdens. Through interviews with 18 parents of children in grades 1-3, we examine how homework-related labor is divided and coordinated between parents, and where AI might meaningfully intervene. We found three key insights: (1) Homework labor encompasses distinct dimensions: physical, cognitive, and emotional, with the latter two often remaining invisible. (2) We identified father-mother-child triadic dynamics in labor division, with children's feedback as the primary factor shaping parental labor adjustments. (3) Building on prior HCI research, we propose an AI design that prioritizes relationship maintenance over task automation or broad labor mitigation. By employing labor as a lens that integrates care work, we explore the complexities of labor within family contexts, contributing to feminist and care-oriented HCI and to the development of context-sensitive coparenting practices.

Division of Labor and Collaboration Between Parents in Family Education

TL;DR

This study investigates how homework tutoring labor is divided among mothers, fathers, and children in urban Chinese families with children in grades 1–3, uncovering hidden cognitive and emotional workloads and pronounced gender dynamics. Through 18 in-depth interviews, it reveals a triadic father–mother–child system in which the child’s responses trigger cycles of breakdown and renegotiation, shaping coparenting over time. The authors argue for AI that prioritizes relational maintenance—via collaborative annotation, child-centered narrative timelines, and joint reflection—rather than direct automation of tutoring tasks. This work advances feminist and care-oriented HCI by making invisible domestic labor legible and offering context-sensitive pathways to more durable, equitable coparenting in family learning settings.

Abstract

Homework tutoring work is a demanding and often conflict-prone practice in family life, and parents often lack targeted support for managing its cognitive and emotional burdens. Through interviews with 18 parents of children in grades 1-3, we examine how homework-related labor is divided and coordinated between parents, and where AI might meaningfully intervene. We found three key insights: (1) Homework labor encompasses distinct dimensions: physical, cognitive, and emotional, with the latter two often remaining invisible. (2) We identified father-mother-child triadic dynamics in labor division, with children's feedback as the primary factor shaping parental labor adjustments. (3) Building on prior HCI research, we propose an AI design that prioritizes relationship maintenance over task automation or broad labor mitigation. By employing labor as a lens that integrates care work, we explore the complexities of labor within family contexts, contributing to feminist and care-oriented HCI and to the development of context-sensitive coparenting practices.
Paper Structure (32 sections, 1 figure, 1 table)

This paper contains 32 sections, 1 figure, 1 table.

Table of Contents

  1. Introduction
  2. Background
  3. Related Work
  4. Labor and Coordination in Parenting
  5. AI-Supported Parent-Child Interaction
  6. Methodology
  7. Recruitment and Screening
  8. Semi-Structured Interview
  9. Analytical Approach
  10. Findings
  11. The Construction of Parental Division of Labor: Structural, Interpersonal, and Child-Driven Dynamics
  12. Structural Constraints Regarding Economy and Work
  13. Gendered Expectations Regarding Patience and Expertise
  14. Gendered Emotional Labor and "Patience"
  15. Subject-Based Expertise
  16. ...and 17 more sections

Figures (1)

  • Figure 1: The model of Collaborative Breakdown and Repair in Homework Tutoring. (a, b) Parental Roles: The distinct roles of Father and Mother derive from structural constraints and gender norms (Sec. 5.1.1, 5.1.2). (c, d) Locking Mechanisms: Inconsistent Participation and Divergent Educational Philosophies act as barriers that solidify rigid labor divisions (Sec. 5.1.2). (e) Child: Acts as an active agent rather than a passive recipient (Sec. 5.1.3). (f) Child's Reaction: Frustration or refusal serves as the feedback loop triggering the breakdown cycle (Sec. 5.1.3).