Claims

Scalability of the MLADs across municipalities was limited by differing educational data sources, varied LMS platforms, and differing teacher familiarity with data-driven dashboards

Claim · All claims
Evidence · 1 study · design r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Varying municipal data sources and LMS systems made a one-size-fits-all dashboard solution difficult, requiring per-municipality customization. → Zeynab (Artemis) Mohseni 2026

Evidence

Zeynab (Artemis) Mohseni 2026

Zeynab (Artemis) Mohseni, Italo Masiello. (2026). Co-designing, developing, and implementing multiple learning analytics dashboards for data-driven decision-making in education: a design-based research approach. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10577-9

q2 · i? · design · r3

In the implementation phase the authors report that "each municipality had different educational data sources" and varied LMS platforms, requiring customization; teachers' differing familiarity with data-driven dashboards also required targeted support.

"Each municipality had different educational data sources, and the learning management systems (LMS) used by each municipality varied. This made it difficult to create a one-size-fits-all solution for all municipalities."

Discussion

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