Key drivers of success in online learning for undergraduate students in logistics and supply chain management

This study examines the relationships between teacher support, technology skills, learning motivation, and learning achievement in online learning among university students. Using Structural Equation Modeling through SmartPLS, the research evaluates the direct effects of teacher support and technology skills on learning motivation and achievement, along with the potential mediating role of learning motivation. The findings confirm that teacher support and technology skills have significant direct effects on learning motivation and achievement, underscoring the importance of structured instructional strategies and technological proficiency in fostering student engagement and academic success. However, learning motivation does not significantly mediate these relationships, suggesting that additional factors such as self-regulation, digital literacy, and cognitive load may play a more substantial role in shaping learning outcomes. These results emphasize the need for educational institutions to enhance teacher training, implement targeted digital literacy programs, and integrate interactive learning tools to optimize student achievement in digital learning contexts. Future research should explore alternative mediators, adopt longitudinal and experimental designs, and examine diverse educational settings to better understand the complexities of online learning and develop evidence-based strategies for improving student success. The rapid shift to online learning has transformed education, particularly in fields like logistics and supply chain management, where digital skills and adaptability are crucial. This study examines how teacher support and technology skills impact student motivation and academic achievement in online education. While both factors significantly enhance learning outcomes, the study finds that motivation alone does not strongly mediate these relationships, suggesting that self-regulation, digital literacy, and engagement may play a more critical role. These findings highlight the need for structured teacher support, targeted digital literacy training, and interactive learning tools such as simulations and AI-driven platforms to enhance student success. By providing insights into effective online learning strategies, this research offers valuable recommendations for educators, universities, and policymakers seeking to improve digital education and workforce readiness in logistics and beyond.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28957826.v1
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Key drivers of success in online learning for undergraduate students in logistics and supply chain management

Figshare
Technology-Enhanced Education Studies
article

Key drivers of success in online learning for undergraduate students in logistics and supply chain management

article en

Abstract

This study examines the relationships between teacher support, technology skills, learning motivation, and learning achievement in online learning among university students. Using Structural Equation Modeling through SmartPLS, the research evaluates the direct effects of teacher support and technology skills on learning motivation and achievement, along with the potential mediating role of learning motivation. The findings confirm that teacher support and technology skills have significant direct effects on learning motivation and achievement, underscoring the importance of structured instructional strategies and technological proficiency in fostering student engagement and academic success. However, learning motivation does not significantly mediate these relationships, suggesting that additional factors such as self-regulation, digital literacy, and cognitive load may play a more substantial role in shaping learning outcomes. These results emphasize the need for educational institutions to enhance teacher training, implement targeted digital literacy programs, and integrate interactive learning tools to optimize student achievement in digital learning contexts. Future research should explore alternative mediators, adopt longitudinal and experimental designs, and examine diverse educational settings to better understand the complexities of online learning and develop evidence-based strategies for improving student success. The rapid shift to online learning has transformed education, particularly in fields like logistics and supply chain management, where digital skills and adaptability are crucial. This study examines how teacher support and technology skills impact student motivation and academic achievement in online education. While both factors significantly enhance learning outcomes, the study finds that motivation alone does not strongly mediate these relationships, suggesting that self-regulation, digital literacy, and engagement may play a more critical role. These findings highlight the need for structured teacher support, targeted digital literacy training, and interactive learning tools such as simulations and AI-driven platforms to enhance student success. By providing insights into effective online learning strategies, this research offers valuable recommendations for educators, universities, and policymakers seeking to improve digital education and workforce readiness in logistics and beyond.

Figshare
Quality Education
Openalex Percentile: Top 54%
Technology-Enhanced Education Studies
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.

Key drivers of success in online learning for undergraduate students in logistics and supply chain management · Figshare (2025) | TGRS Research Map | TGRS