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Using Loops That Matter for Feedback Analysis: A Structured Curriculum for Building Systems Understanding

Jefferson K. Rajah et al.

System Dynamics Review2026https://doi.org/10.1002/sdr.70018article
AJG 2
Weight
0.50

What the paper says

Loops that matter (LTM) has gained traction in system dynamics for its ability to algorithmically identify feedback loops and shifts in loop dominance. Yet, its unstructured use may encourage superficial analyses and hinder systems understanding among new learners. To maximize the pedagogical value of LTM, we developed a structured curriculum that integrates LTM into existing feedback analysis pedagogy, emphasizing feedback narratives and dynamic insights. Delivered to two cohorts of new system dynamics students, the curriculum comprises two lesson plans: (1) feedback loop analysis and narrative building and (2) identifying leverage points for systems change. Our evaluation of the curriculum's impact on learner performance, across three cohorts of master's students (2022–2024), show significant and meaningful improvements in feedback analysis scores among participants. We further reflect on the insights and lessons we learned and provide pedagogical recommendations for other educators.

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https://doi.org/https://doi.org/10.1002/sdr.70018

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@article{jefferson2026,
  title        = {{Using Loops That Matter for Feedback Analysis: A Structured Curriculum for Building Systems Understanding}},
  author       = {Jefferson K. Rajah et al.},
  journal      = {System Dynamics Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/sdr.70018},
}

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Using Loops That Matter for Feedback Analysis: A Structured Curriculum for Building Systems Understanding

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.