Exploring students’ expectations of learning analytics: A person-centered approach

Abstract In order to successfully implement learning analytics (LA), we need a better understanding of student expectations such services. Yet, there is still limited body research about students’ across countries. Student LA have been predominantly examined from view that perceives students as group individuals representing homogenous views. This study examines ideal (i.e., their wanted outcomes) and predicted unveiling what they realistically expect the service most likely be) by employing person-centered approach allows exploring heterogeneity may be found in expectations. We collected data 132 setting Swedish higher education means an online survey. Descriptive statistics Latent Class Analysis (LCA) were used for analysis. Our findings show considerably compared The results LCA exhibit heterogeneous, both regarding privacy concerns this can seen baseline or cross-sectional average, inform student-centered implementation education.