Towards tailored online learning: Predicting learner profiles in an online learning environment with perceived needs satisfaction

Fei Gao; Rong Liu

doi:10.30191/ETS.202504_28(2).RP01

Towards tailored online learning: Predicting learner profiles in an online learning environment with perceived needs satisfaction

Fei Gao, Rong Liu

School of Engineering

University of Toledo

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1-14
Number of pages	14
Journal	Educational Technology and Society
Volume	28
Issue number	2
DOIs	https://doi.org/10.30191/ETS.202504_28(2).RP01
State	Published - 2025

ASJC Scopus Subject Areas

Education
Sociology and Political Science
General Engineering

Keywords

Adaptive learning
Latent profile analysis
Online learning
Perceived needs satisfaction

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10.30191/ETS.202504_28(2).RP01

Cite this

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title = "Towards tailored online learning: Predicting learner profiles in an online learning environment with perceived needs satisfaction",

keywords = "Adaptive learning, Latent profile analysis, Online learning, Perceived needs satisfaction",

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journal = "Educational Technology and Society",

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TY - JOUR

T1 - Towards tailored online learning

T2 - Predicting learner profiles in an online learning environment with perceived needs satisfaction

AU - Gao, Fei

AU - Liu, Rong

PY - 2025

Y1 - 2025

KW - Adaptive learning

KW - Latent profile analysis

KW - Online learning

KW - Perceived needs satisfaction

UR - https://www.scopus.com/pages/publications/105002305236

U2 - 10.30191/ETS.202504_28(2).RP01

DO - 10.30191/ETS.202504_28(2).RP01

M3 - Article

AN - SCOPUS:105002305236

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VL - 28

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EP - 14

JO - Educational Technology and Society

JF - Educational Technology and Society

IS - 2

ER -

Towards tailored online learning: Predicting learner profiles in an online learning environment with perceived needs satisfaction

ASJC Scopus Subject Areas

Keywords

Access to Document

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