Reorient research priorities, workflows, data infrastructures, and validation practices around theory-constrained learner-development simulations¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article's agenda is an implementable program for the research community: reorient priorities, workflows, data infrastructures, and validation practices around simulations of learner development that are "theory-constrained, dynamically updateable, and empirically examinable." The authors stress this is "not merely a list of open questions" but a coordinated invitation to change how educational science operates. It implies building simulation-based validation into the research pipeline.

Design Implications¶

Context¶

Requirements¶

• A coordinated research community willing to reorient priorities, workflows, data infrastructures, and validation practices

Constraints¶

• Simulations must remain empirically examinable and theory-constrained per the article

Target Learners¶

• educational researchers and the broader science-of-learning community

Target Learning Goals¶

• cumulative theory building about learner development
• pre-implementation evaluation of educational innovations

Affordances¶

• Agent Based Educational Science Agenda

Related Strategies¶

• Research agenda for advancing transformative communication environments: sociocultural theory, conversational analysis, and beyond-face-to-face affordances

Examples¶

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Key Sources¶

• Zhang, Y., Jiang, J. & Tang, X. (2026). Toward Agent-Based Educational Science: Rethinking Educational Research in the Age of AI. Educational Psychology Review, 38, 113. https://doi.org/10.1007/s10648-026-10209-5