Most implementing institutions lacked a clear LA strategy, and many used LA to support wider university strategy¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2025: baselines and conditions change
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? Of 15 survey respondents with existing LA implementation, 7 had no clear strategy; 32 interview participants reported LA supporting wider university strategy rather than a dedicated LA strategy. → Tsai 2020
Evidence¶
Tsai 2020¶
Tsai, Yi-Shan, et al. (2020). Learning Analytics in European Higher Education – Trends and Barriers. Computers & Education. https://doi.org/10.1016/j.compedu.2020.103933
q2 · i? · associational · r2
Survey data show "among the 15 survey respondents that indicated existing implementation of LA in their institutions, 7 did not have a clear strategy to work towards the goal of LA"; 32 interview participants reported LA supporting wider university strategies.
"among the 15 survey respondents that indicated existing implementation of LA in their institutions, 7 did not have a clear strategy to work towards the goal of LA"
Discussion¶
Related Claims¶
- Survey respondents rated analytics expertise as leaning towards a large or critical barrier to LA success — related
- LA implementation outcomes leaned towards agreement for solving problems and informing institutional decisions, with polarised views on achieving goals and improving retention — related
- Most surveyed institutions had less than three years of LA adoption experience, and adoption scope grows with experience — related
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