Portal users can be classified into four types (new, light, medium, heavy) based on observed usage parameters¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2012 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Cluster analysis of logins, downloads, uploads, page views and reactions distinguishes four user types: new (N=37), light (N=641), medium (N=201), heavy (N=40). → Pynoo 2012

Evidence¶

Pynoo 2012¶

Pynoo, B., Tondeur, J., Van Braak, J., Duyck, W., Sijnave, B. & Duyck, P. (2012). Teachers' acceptance and use of an educational portal. Computers & Education, 58(4), 1308-1317. https://doi.org/10.1016/j.compedu.2011.12.026

q2 · i? · associational · r2

A two-step cluster analysis on five usage parameters from 919 teachers' portal logs identified four user types. The abstract reports that "four types of portal-users are distinguished: ‘new’ (N=37), ‘light’ (N=641), ‘medium’ (N=201), and ‘heavy’ (N=40)."

"Based on the observed use data at T1, four types of portal-users are distinguished: ‘new’ (N=37), ‘light’ (N=641), ‘medium’ (N=201), and ‘heavy’ (N=40)."

Discussion¶

Related Claims¶

• K-means clustering of K–8 students' platform trace data yields seven distinct engagement profiles — related
• Three big data methods—text classification, cluster analysis, and social network analysis—can each yield insights into learning in mass collaboration — related
• Teachers use the portal primarily to search for and download material rather than to share or upload it — related
• Teachers become more efficient in searching the portal over time, and most use it more frequently — related
• User types differ significantly in acceptance of the portal, with perceived behavioral control more important for heavy users and subjective norms and ease of use more important for light and medium users — a narrower finding that bears on this claim