Claims

A four-phase DBR process with 25 teachers across three Swedish municipalities produced three tailored EasyVis dashboards over one year

Claim · All claims
Evidence · 1 study · design r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: local conditions change quickly

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? An intervention involving 25 teachers across three municipalities in Sweden ran from early October 2023 to mid-November 2024 and resulted in three EasyVis dashboards, one per municipality. → 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

A one-year design-based research intervention with 25 primary teachers distributed as 7, 12 and 6 across the three municipalities, plus pedagogical experts, data scientists, IT administrators and EdTech representatives; the process produced "three EasyVis dashboards within our MLADs framework were developed, each customized to meet the specific needs of teachers in each municipality".

"We conducted an intervention involving 25 teachers across three municipalities in Sweden over a one-year period, from early October 2023 to mid-November 2024"

Discussion

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