Development and Practice of Management Micro Learning Resources Based on Mobile Learning Platforms

In order to improve the application effect of the management micro-learning resource platform, the design and practice of the platform in resource management, learning interaction and effect evaluation are analyzed. By analyzing the experimental data of 1, 0 0 0 learners, the results show that the course completion rate of highly active learners is 91.3%, the average test score is 86.7, and the learning efficiency is 12.4 knowledge points/hour. Learners whose acceptance rate of personalized recommendations is higher than 85% have a course completion rate of 89.2%, a test average score of 84.6, and a knowledge point mastery rate of 91.7%. In the platform's performance test on PC and mobile, the recommendation accuracy rate was 87.6% on PC and 84.1% on mobile. The analysis results show that the accuracy of personalized recommendation and learning interaction has a significant impact on the learning effect of students, and the functions of the platform have been effectively verified.

Authors

Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/dmcis65888.2025.11138403
Primary Topic
Innovative Educational Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and Practice of Management Micro Learning Resources Based on Mobile Learning Platforms

Jiazheng Peng, Qiankang Wang
Innovative Educational Techniques
article

Development and Practice of Management Micro Learning Resources Based on Mobile Learning Platforms

Jiazheng Peng, Qiankang Wang
article en

Abstract

In order to improve the application effect of the management micro-learning resource platform, the design and practice of the platform in resource management, learning interaction and effect evaluation are analyzed. By analyzing the experimental data of 1, 0 0 0 learners, the results show that the course completion rate of highly active learners is 91.3%, the average test score is 86.7, and the learning efficiency is 12.4 knowledge points/hour. Learners whose acceptance rate of personalized recommendations is higher than 85% have a course completion rate of 89.2%, a test average score of 84.6, and a knowledge point mastery rate of 91.7%. In the platform's performance test on PC and mobile, the recommendation accuracy rate was 87.6% on PC and 84.1% on mobile. The analysis results show that the accuracy of personalized recommendation and learning interaction has a significant impact on the learning effect of students, and the functions of the platform have been effectively verified.

Openalex Percentile: Top 74%
Innovative Educational Techniques
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.

Development and Practice of Management Micro Learning Resources Based on Mobile Learning Platforms — Jiazheng Peng, Qiankang Wang · (2025) | TGRS Research Map | TGRS