# Digital Human Technology in E-Learning: Custom Content Solutions
## 1 Introduction  
The education sector is undergoing a rapid digital transformation (DX) in which the adoption of digital technologies enhances instructional efficiency and broadens access to educational resources [1]. To advance digital education, the design of tools must consider the perspectives and requirements of teachers and students. Tools that prioritize efficiency and address individual learner needs can foster a more seamless integration of digital technologies into educational settings. Studies have demonstrated a positive correlation between high academic performance and the use of digital technologies, which are particularly suited to addressing students' personalized learning requirements [2]. Against this backdrop, video-based instructional materials have emerged as an essential component of education due to their inherent flexibility and the intuitive, visual manner in which they present content. Moreover, digital education can reduce the workload of teaching staff while enhancing the quality of instruction through greater individualization and clearer educational objectives [3]. The influence of digital education now extends beyondtraditional subjects such as language and programming, reaching into specialized areas like medicine [4]. Despite their growing importance, current processes for producing instructional videos exhibit several notable shortcomings. These issues include excessive dependence on educators and production teams and overall reliance on time-consuming and labor-intensive workflows. Moreover, most existing tools employ rigid templates, making it challenging to meet the diverse requirements of various teaching scenarios, resulting in limiting personalization and innovative potential [5]. Accordingly, numerous studies highlight the potential of emerging digital technologies in education, but their practical implementation often depends on the guidance and involvement of educators or supervisors. In addition, negative attitudes among some teachers toward new educational paradigms can impede the effective integration of these technologies [6]. Artificial intelligence (AI) agents, autonomous systems using natural language processing, machine learning, and computer vision, have revolutionized various industries through their ability to interpret, decide, and respond to environmental inputs [7]. In educational contexts, these agents show promise for personalizing learning experiences and supporting teaching tasks. Despite this potential, developing fully autonomous educational AI agents requires addressing several challenges, particularly in balancing the diverse needs of teachers and students [8]. Nevertheless, there are no effective and comprehensive AI-agent solutions in education within current research. It is necessary to investigate the application scenarios, adoptions, and pedagogical considerations of digital learning tools in education to comprehensively understand the effective integration of such AI-driven systems into education [9]. The digitalization of education is already underway, and the potential value of AI technologies in educational services is well recognized. In this study, we focus on utilizing AI agents to streamline the process of producing e-learning videos and enable AI technologies to play a pivotal role in advancing efficiency and personalization in education. Our objective is to design and develop an AI-driven web service that caters to a broader range of learner needs and enhances the overall learning experience. This service autonomously generates comprehensive, high-quality e-learning videos with educational content. Therefore, the main contributions of our paper are as follows:  
* Development of an AI-driven digital education platform that automates the generation of microlecture videos;
* Integration of style-diverse digital human teachers capable of delivering customized course content presentations.