Yiyi Liu, Zijie Huang, Gong Wang
Student learning performance prediction based on online behavior: an empirical study during the COVID-19 pandemic
PeerJ. Computer science
nursing students access massive amounts online health data drive cuttingedge evidencebased practice clinical placement bridge theorypractice gap activity requires investigation identify strategies nursing students apply evaluate online health information online thinkaloud sessions enabled 14 participants express cognitive processes navigating various educational resources including online journals databases determining reliability sources indicating strategies informationseeking helped create scoring system easy access user convenience clearly instrumental factors behavior troubling implications lack use higherquality resources eg peerreviewed academic journals identified challenges encountered resource access included limited skills critical evaluation information credibility reliability signaling requirement improved information literacy skills participants acknowledged importance evidencebased highquality information faced numerous barriers restricted access professional specialty databases lack academic skills training paper develops critiques performative tool assessing process seeking health information using online thinkaloud method explores factors strategies contributing evidencebased health information access utilization clinical practice aiming provide insight individuals informationseeking behaviors online health contexts