Structural relationships between learning motivation, transfer design, learning transfer and learning persistence: Focusing on learners of KIRD research ethics education

Objectives This study aims to empirically analyze the relationship between learning motivation, transfer design, learning transfer, learning persistence. Methods An empirical analysis was conducted by a survey with 309 graduates of the Cyber Research Ethics Education program, verified the model fit, relationships among latent variables, and mediation effects using SPSS and MPlus software within the framework of structural equation modeling (SEM). Results The following results were derived: First, the study found that learning motivation and transfer design had a positive impact on learning transfer. Second, although learning motivation affected learning persistence, transfer design did not directly affect learning persistence. Third, learning transfer had a statistically significant impact on learning persistence. Fourth, we found that learning transfer mediated the influence of learning motivation and transfer design on learning persistence. Conclusions This study identified the importance of designing educational content that considers learning motivation and transfer design to enhance the transfer of learning in research ethics education. Additionally, learning motivation and transfer design through learning transfer are necessary to increase learners' intention to continue learning.

Authors

Publication Details

Journal
Korean Association For Learner-Centered Curriculum And Instruction
Published
2024-12-15
DOI
https://doi.org/10.22251/jlcci.2024.24.23.310
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural relationships between learning motivation, transfer design, learning transfer and learning persistence: Focusing on learners of KIRD research ethics education

Kyoung-hwan Kim, Jiyoung Kim, Joonseok Shin
Korean Association For Learner-Centered Curriculum And Instruction
Education and Learning Interventions
article

Structural relationships between learning motivation, transfer design, learning transfer and learning persistence: Focusing on learners of KIRD research ethics education

Kyoung-hwan Kim, Jiyoung Kim, Joonseok Shin
article en

Abstract

Objectives This study aims to empirically analyze the relationship between learning motivation, transfer design, learning transfer, learning persistence. Methods An empirical analysis was conducted by a survey with 309 graduates of the Cyber Research Ethics Education program, verified the model fit, relationships among latent variables, and mediation effects using SPSS and MPlus software within the framework of structural equation modeling (SEM). Results The following results were derived: First, the study found that learning motivation and transfer design had a positive impact on learning transfer. Second, although learning motivation affected learning persistence, transfer design did not directly affect learning persistence. Third, learning transfer had a statistically significant impact on learning persistence. Fourth, we found that learning transfer mediated the influence of learning motivation and transfer design on learning persistence. Conclusions This study identified the importance of designing educational content that considers learning motivation and transfer design to enhance the transfer of learning in research ethics education. Additionally, learning motivation and transfer design through learning transfer are necessary to increase learners' intention to continue learning.

Korean Association For Learner-Centered Curriculum And InstructionVol. 24(23)
Quality Education
Openalex Percentile: Top 63%
Education and Learning Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.