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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

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Published on: December 9, 2022

Measuring efficiency and effectiveness of knowledge transfer in e-learning.

Vitéz Nagy¹, László Duma¹

¹Corvinus University of Budapest, Department of Infocommunication, Fővám tér 8., Budapest, 1093, Hungary.

|July 14, 2023

Summary

Evaluating e-learning effectiveness is challenging. This study introduces a novel, validated method using logged data to measure knowledge transfer, enhancing e-learning course evaluation.

Keywords:

E-learning effectiveness E-learning efficiency Knowledge transfer measurement

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Area of Science:

Educational Technology
Learning Analytics
Knowledge Management

Background:

E-learning's rise necessitates robust evaluation methods.
Current e-learning lacks validated knowledge transfer measurement tools.
Assessing effectiveness and efficiency is critical across educational and corporate sectors.

Purpose of the Study:

To review existing e-learning evaluation methods.
To develop and validate a novel measurement technique for knowledge transfer in e-learning.
To provide a tool for assessing e-learning effectiveness and efficiency.

Main Methods:

Conducted a literature review of measurement solutions.
Developed a new method for classifying effectiveness and efficiency using logged e-course data.
Validated the method using quantitative analysis (descriptive statistics, regression, cluster analysis) on a learning management system dataset.

Main Results:

A novel, validated method for measuring e-learning knowledge transfer was developed.
The method utilizes logged data from e-learning platforms.
Quantitative analysis demonstrated the method's applicability in assessing effectiveness and efficiency.

Conclusions:

The elaborated knowledge transfer measurement technique is a valuable tool for evaluating e-learning.
This method can serve as a baseline for future academic research and implementation.
Effective evaluation of e-learning is now more achievable.