TY - JOUR
T1 - A latent profile analysis of university students’ self-regulated learning strategies
AU - Ning, Hoi Kwan
AU - Downing, Kevin
PY - 2015/8/9
Y1 - 2015/8/9
N2 - Based on self-reported cognitive, metacognitive, and behavioural strategy measures obtained from 828 final-year students from a university in Hong Kong, latent profile analysis (LPA) identified four distinct types of students with differential self-regulated learning strategy orientations: competent self-regulated learners, cognitive-oriented self-regulated learners, behavioural-oriented self-regulated learners, and minimal self-regulated learners. Students in the competent SRL profile demonstrated the highest levels of academic self-concept, motivation, attitude, and the lowest level of test anxiety and best academic performance. Multinomial logistic regression analysis also indicated that learning experience factors (teaching quality, clear goals and standards, appropriate assessment and workload) were significant predictors of SRL profile membership. The profiling of student self-regulated learning strategies resulted in enhanced understanding of the complex range of processes students employ and offered new insights into this emerging area of student learning.
AB - Based on self-reported cognitive, metacognitive, and behavioural strategy measures obtained from 828 final-year students from a university in Hong Kong, latent profile analysis (LPA) identified four distinct types of students with differential self-regulated learning strategy orientations: competent self-regulated learners, cognitive-oriented self-regulated learners, behavioural-oriented self-regulated learners, and minimal self-regulated learners. Students in the competent SRL profile demonstrated the highest levels of academic self-concept, motivation, attitude, and the lowest level of test anxiety and best academic performance. Multinomial logistic regression analysis also indicated that learning experience factors (teaching quality, clear goals and standards, appropriate assessment and workload) were significant predictors of SRL profile membership. The profiling of student self-regulated learning strategies resulted in enhanced understanding of the complex range of processes students employ and offered new insights into this emerging area of student learning.
KW - academic performance
KW - academic self-concept
KW - latent profile analysis
KW - learning experience
KW - motivation
KW - self-regulated learning
UR - http://www.scopus.com/inward/record.url?scp=84931573421&partnerID=8YFLogxK
U2 - 10.1080/03075079.2014.880832
DO - 10.1080/03075079.2014.880832
M3 - RGC 21 - Publication in refereed journal
AN - SCOPUS:84931573421
SN - 0307-5079
VL - 40
SP - 1328
EP - 1346
JO - Studies in Higher Education
JF - Studies in Higher Education
IS - 7
ER -