Parents’ Views on the Use of Artificial Intelligence in Their Children’s Education

Introduction

Artificial intelligence (AI) is rational technology, significantly affecting how AI is utilised, overseen, and governed, and is rapidly transforming education. AI-powered tools such as generative large language models, adaptive learning platforms, and intelligent tutoring systems are being used more in schools and at home. This widespread adoption raises new questions about how parents perceive these technologies, what attitudes they hold, and the concerns they may have. Parents serve as both influencers and mentors in education and in policy discussions. Despite this central role, research examining parental perspectives on AI in education is still emerging and often fragmented, drawing from diverse fields such as educational technology, human-computer interaction, sociology, and developmental psychology. This article aims to synthesise current evidence regarding parents’ views on AI in their children’s education. The findings are organised into four primary areas: (a) perceived benefits and motivations, (b) concerns and risks, (c) determinants and variations in parental attitudes, and (d) implications for policy and practice.

Perceived Benefits and Motivations

Parents’ attitudes toward AI in education are often ambivalent — combining optimism about opportunities with pragmatic or conditional approval.

1. Support for AI as an Educational Aid

Several studies report that parents recognise potential learning benefits associated with AI tools. A recent discrete choice experiment in Kenya found that parents value AI-powered early childhood education tools, particularly when they support core academic content (e.g., mathematics) and offer comprehensive parental control over usage and content features. Parents showed the greatest willingness to pay for these control features, suggesting that well-designed AI can be viewed as an educational resource rather than a replacement for adult guidance.

Similarly, research on kindergarten parents’ perceptions of AI technologies reveals positive views toward AI literacy education and the use of AI tools in early learning contexts, especially when frameworks for responsible integration and parental involvement are in place. These parents expressed appreciation for AI’s capacity to augment learning experiences and support foundational skills, even as they noted practical concerns that would need to be addressed for successful implementation.

2. AI to Foster AI Literacy

Parents increasingly view AI literacy as an integral part of future digital competencies. Surveys (e.g., Samsung Solve for Tomorrow) indicate that large majorities of parents believe AI knowledge will be crucial for their children’s careers and lives, even if current school curricula lag in formal AI instruction. This reflects a broader shift in educational expectations: rather than viewing AI strictly as a tool for solving homework, see it as part of the essential literacies of the 21st century.

3. Parental Mediation and Co-Learning

Qualitative research highlights that parents often engage with AI alongside their children, framing AI as a co-learning partner. In focus group studies, parents described efforts to navigate AI use jointly with children, underlining AI literacy not only as a student competency but also as a family practice. This shared engagement allows parents to monitor, contextualise, and scaffold children’s AI use, thereby transforming potential risks into opportunities for dialogue and critical thinking.


 Concerns and Risks

While acknowledging benefits, parents express significant concerns that intersect with cognitive, ethical, and sociotechnical dimensions.

1. Data Privacy and Security

A recurring theme across contexts is worry about data privacy and the safety of children’s information. When AI systems collect, store, or process educational data, parents express reservations about how that data is used, shared, and protected, particularly when clear governance frameworks are absent. Both research experiments and public opinion polls (e.g., policy reports on AI in K-12 schools) show that a considerable proportion of parents oppose unfettered sharing of student data with AI systems, citing privacy and equity concerns.

2. Accuracy, Reliability, and Trust

Parents often question the reliability and accuracy of AI-generated content. Studies on parents’ attitudes toward AI in healthcare, though in a different domain, reveal that many parents view AI-generated information as at best partially accurate, underscoring the need for caution about over-reliance on algorithmic outputs. While these findings relate to healthcare, they echo concerns in education, where misinformation or incorrect guidance from AI tools could mislead children or undermine learning.

3. Over-reliance and Skill Erosion

Concerns about over-dependence on AI are frequently mentioned. Critics argue that excessive AI use may erode foundational learning skills such as critical thinking, problem solving, and academic self-efficacy. Research on AI in education notes that generative AI could reduce learners’ motivation to engage deeply with content if users resort to quick answers rather than the cognitive work necessary for mastery. Parents similarly worry that children might use AI to bypass thinking, committing academic tasks to machines rather than learning the underlying concepts — a concern mirrored in student experiences reported elsewhere.

4. Ethical, Social, and Emotional Risks

Parents are also attuned to broader ethical and social dimensions: the possibility that AI might displace human interaction, reduce empathy, or normalise machine authority in learning spaces. While some see AI as a tool to support relationships, others worry that excessive AI integration could inadvertently diminish rich human-to-human engagement that is critical for social and emotional development.


Determinants and Variations in Parental Attitudes

Parental views are not homogeneous; they vary across demographic, socioeconomic, and contextual factors.

1. Digital Literacy and Educational Level

AI literacy among parents significantly influences attitudes. Research from Hong Kong indicates that parents’ own understanding of AI correlates with confidence in guiding their children’s learning, reinforcing the view that AI literacy is not solely a student outcome but a key dimension of parenting self-efficacy. Parents with higher educational attainment and greater digital fluency tend to express more nuanced views, balancing enthusiasm with critical awareness.

2. Socioeconomic and Cultural Contexts

Parental preferences also reflect cultural and economic realities. In low- and middle-income settings, affordability and accessibility are critical determinants of whether AI educational tools are seen as desirable or feasible. For example, in Kenya, parents valued parental control and quality content but were extremely sensitive to cost, illustrating how financial considerations are intertwined with technology acceptance.

Similarly, variations in attitudes can be observed between rural and urban populations and across different education systems, suggesting that contextual factors and exposure influence how parents perceive AI’s utility and risks.

3. Generational and Knowledge Gaps

There is often a disconnect between children’s AI use and parents’ awareness of that use. Large surveys reveal gaps between actual usage, particularly among adolescents and parents’ perceptions, highlighting that many parents may underestimate or misunderstand how and why their children engage with AI tools. These gaps present challenges for parental mediation, as well as opportunities for schooling systems to involve parents in dialogues about AI, its ethical use, and its pedagogical role.


Theoretical Perspectives on Parental Mediation

Understanding parents’ views requires situating them within broader theories of technology adoption and educational engagement.

1. Technology Acceptance Models

Classic technology acceptance theories (e.g., TAM) suggest that perceived usefulness and perceived ease of use are key determinants of adoption. Applied to AI in education, parents’ willingness to accept AI tools is mediated by their beliefs about whether those tools support learning and whether they are manageable within family routines. Studies reflect this pattern: parents embrace AI when they perceive benefits that outweigh complexity and risk.

 2. Mediation Theory in Family Contexts

Family media mediation theories emphasise parental roles in regulating children’s technological use, balancing restrictive mediation (setting limits) with active mediation (discussing content and context). In AI contexts, parents who engage actively with children in using AI tend to develop more positive and informed attitudes. This aligns with findings that joint exploration fosters better understanding and critical awareness, reducing anxiety about unmonitored use.


Implications for Policy and Practice

Parental attitudes toward AI in education carry significant implications for educators, policymakers, and technology designers:

1. Supporting Parental AI Literacy

Educational policy should include components that enhance parents’ understanding of AI, not only to demystify technology but also to help families distinguish between supportive and problematic uses. Workshops, informational resources, and school-community dialogues are promising strategies.

2. Designing Human-Centred AI Tools

AI developers should prioritise features that reflect parental preferences, such as transparency, parental controls, data privacy safeguards, and content appropriateness. Parental involvement in co-design processes can ensure that AI tools align with family values and educational goals.

3. School-Family Collaboration

Schools can play an active role in communicating how AI is used in instruction and assessment. Creating forums for parents to express concerns and receive evidence-based guidance can bridge the perception gap and foster shared responsibility for children’s AI literacy. Policy frameworks that include parents as stakeholders can enhance trust and adoption.


 Conclusion

Parents’ views on AI in their children’s education are complex and multifaceted. Across diverse contexts, parents recognise AI’s potential to enrich learning and prepare children for a technologically advanced future. Yet, they also voice substantial concerns about privacy, accuracy, over-reliance, and ethical implications. These attitudes vary significantly based on digital literacy, socioeconomic conditions, cultural context, and exposure to AI.

Empirical research suggests that parents are neither uncritically enthusiastic nor resistant; instead, most adopt a conditional acceptance, contingent on perceived benefits, risks, and the degree of control they retain. Understanding this nuanced landscape is critical for educators, technologists, and policymakers seeking to integrate AI responsibly into education.

As AI becomes more embedded in educational ecosystems, robust engagement with parents through literacy programs, transparent communication, and participatory design will be vital in shaping AI’s role in children’s learning. Continued research that foregrounds parents’ voices will help ensure that AI complements rather than compromises educational values and outcomes.


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