Claims

Institutions adopting LA for institutional performance tend to target pre-identified problems, while teaching-and-learning-motivated adoption seeks to understand how students learn

Claim · All claims
Evidence · 1 study · qualitative r3 · 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? When LA was adopted to improve institutional performance there tended to be a pre-identified problem, whereas teaching-and-learning-motivated adoption sought to understand how students learn to provide interventions. → 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? · qualitative · r3

Interview data show performance-driven adoption targeted "a pre-identified problem, such as student retention, satisfaction, enrolment, or resource management", while teaching-focused adoption sought to understand how students engage with learning resources.

"when LA was adopted to improve institutional performanceormanagement,theretendedtobeapre-identifiedproblem,suchasstudentretention,satisfaction,enrol- ment, or resource management, and LA was used to investigate these problem areas and to obtain insights that might inform further actions."

Discussion

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