A Quantitative Model for Evaluating the Effectiveness of Lifelong Education for Highly Skilled Professionals Supported by Mobile Technology
Year: 2025
Type: article
Abstract: With the rapid advancement of the global economy and technology, the demand for highly skilled professionals has continued to rise. Lifelong education has emerged as a crucial pathway for developing such professionals. The widespread application of mobile technology has created new opportunities for lifelong education, enabling learning to take place anytime and anywhere. However, existing evaluation methods primarily rely on traditional tools, which lack real-time monitoring and quantitative evaluation of the learning process, making it challenging to address the complexity and dynamic nature of learning. To address these limitations, a quantitative evaluation model for the effectiveness of lifelong education for highly skilled professionals supported by mobile technology was proposed in this study. The model consists of two primary components: (a) real-time monitoring and prediction of learning engagement and (b) detection of abrupt anomalies in learning behavior. This study aims to support educational administrators and learners in decision-making, advance lifelong education, and provide robust data-driven insights for educational policy formulation.
Authors: Zhaoming Wang, Ting Zhang, Hongyan Zhang, Xiao Luo
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
Estimated APC paid: $280
OpenAlex ID: W4410240631