The role of narrative in informal programming designed to engage preschool-age children in science explanations

ABSTRACT

While prior research has demonstrated the importance of narratives as tools for young children’s science learning, limited research has considered how narratives can be integrated into the design of science learning environments to support opportunities for children to engage in science practices. We designed four ∼30-minute preschool science programs for museum settings built around narratives from children’s science storybooks. Video-data was gathered for three to four iterations of each program with preschool-age children (3-to-5 years) at a small children’s science museum and local preschools. Using conjecture mapping as our analytic framework, we found that story-driven programs provided children with opportunities to co-construct evidence-based explanations as mediated by verbal and gestured discourse, engagement in investigation of science phenomena, and generation of representations. Importantly, results suggest that while elements of the storybooks’ narrative (structure, events, and agency) supported children’s co-construction of explanations, the stronger influence on children’s explanations was through the way the storybook’s phenomenon was integrated into the program. These findings can help educators better understand the role narratives may play in young children’s science learning.

KEYWORDS:

• Early childhood
• narrative
• science practices

Acknowledgements

We would like to thank Madison Botch, Meg Teuber, Amy Ricketts, the My Sky Tonight team, and the educators and museum staff for their help with this project.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Ethics statement

This study was approved by the Pennsylvania State University’s Office for Research Protections (FWA00001534) under IRB Protocol #43934 and #17641.

Notes

1 We use narrative and stories interchangeably.

Additional information

Funding

The My Sky Tonight project was funded by NSF #EHR-1217441.