Students' willingness to accept learning analytics systems is moderately predicted by their attitudes toward data control and sharing¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q3
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q3 i? Attitudes toward data control and sharing moderately predict students' willingness to accept learning analytics systems. → Royce Kimmons 2021
Evidence¶
Royce Kimmons 2021¶
Royce Kimmons. (2021). Safeguarding student privacy in an age of analytics. Education Tech Research Dev. https://doi.org/10.1007/s11423-021-09950-1
q3 · i? · theoretical · r2
The editorial reports this as a finding of the Ifenthaler and Schumacher (2016) quasi-experimental survey study of student attitudes toward privacy and learning analytics system acceptance, stating acceptance "was mod- erately predicted by their attitudes toward data control and sharing".
"students’ willingness to accept learning analytics systems was mod- erately predicted by their attitudes toward data control and sharing"
Discussion¶
Related Claims¶
- Teachers' attitudes toward GenAI tools significantly predict their behavioural intention to integrate them — related
- Teachers' technology acceptance follows the TAM: perceived usefulness, perceived ease of use, and attitude toward technology predict technology integration, moderated by organizational, technological, and individual factors — a broader claim this one bears on
- Perceived ease of use positively influenced attitudes toward using the AVDS tool — related
- Teachers and students identify usability, learning analytics, emotion detection, trustworthiness, and privacy as required technological aspects for PAs — related
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