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May 6, 2026Family Relations0 citations

Lessons From the Field: Practical considerations for AI assistance with relationship education curriculum development

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TCTiffany L. ClydeAHAlan J. HawkinsBHBrian J. Higginbotham

Key Points

  • This report provides insights on using AI for developing relationship education (RE) curriculum.
  • Documented use of AI tools for developing RE e-courses at Utah Marriage Commission
  • Reflected on practical considerations for curriculum developers
  • AI tools streamlined content creation and editing
  • Identified limitations such as bias and lack of contextual nuance
  • Emphasized need for human oversight and research-informed guidance

Abstract

ABSTRACT Objective In this Lesson From the Field brief report, we provide practical considerations for how artificial intelligence (AI) can support relationship education (RE) curriculum development. Background Currently, there are no best practices for family life education (FLE) professionals that can guide the use of AI to develop RE curriculum. This report responds to a growing need for practitioner‐driven insights into AI‐assisted e‐course creation and provides 10 practical considerations for curriculum developers. Methods Drawing on applied work at the Utah Marriage Commission, we document our use of AI tools to assist in developing RE e‐courses for adult learners. Our team has extensive professional experience creating, teaching, and evaluating FLE. We reflect on our process with AI to suggest practical considerations for developing RE curriculum with AI assistance. Results AI tools streamlined content creation and editing. However, limitations such as bias, lack of contextual nuance, and inconsistent quality underscore the need for human oversight and research‐informed guidance. Conclusion AI offers promise for RE curriculum development when its use is intentional, research‐informed, and pedagogically sound. Implications We propose 10 practical considerations and invite FLE professionals to engage in ongoing dialogue about responsible AI integration.

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Cite This Study

Clyde et al. (2026) studied this question.

synapsesocial.com/papers/69fa8ef304f884e66b531506https://doi.org/10.1111/fare.70197
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