In recent years,significant advancements in educational technology,particularly the rise of online learning platforms,have transformed the way students engage with educational content.Most students currently access le...In recent years,significant advancements in educational technology,particularly the rise of online learning platforms,have transformed the way students engage with educational content.Most students currently access learning materials through live streaming or pre-recorded courses,but live sessions are often confronted with scheduling conflicts between instructors and students,thereby limiting their accessibility.This compels numerous students to opt for pre-recorded lessons,which,despite offering flexibility,lack real-time interaction and direct guidance.The unavailability of professional educators creates a challenge for parents,who are frequently unable to assist their children effectively with academic difficulties.Consequently,when students encounter obstacles during self-paced learning involving pre-recorded materials,their motivation to continue diminishes considerably.To address these challenges,this study developed an intelligent digital human-based teaching system that leverages the capabilities of large language models to provide personalized,interactive,and real-time support.It is designed to simulate the presence of a human instructor,enhancing the learning experience by offering tailored guidance,answering queries,and adapting to individual progress,features that ultimately foster a more engaging and efficient educational process.The proposed solution seeks to bridge the gap between the flexibility of pre-recorded lessons and the interactive,instantaneous engagement typically associated with live courses.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.62337001 and 62406303)the Key Technologies R&D Program of Anhui Province(Grant No.202423k09020039)the Fundamental Research Funds for the Central Universities.
文摘In recent years,significant advancements in educational technology,particularly the rise of online learning platforms,have transformed the way students engage with educational content.Most students currently access learning materials through live streaming or pre-recorded courses,but live sessions are often confronted with scheduling conflicts between instructors and students,thereby limiting their accessibility.This compels numerous students to opt for pre-recorded lessons,which,despite offering flexibility,lack real-time interaction and direct guidance.The unavailability of professional educators creates a challenge for parents,who are frequently unable to assist their children effectively with academic difficulties.Consequently,when students encounter obstacles during self-paced learning involving pre-recorded materials,their motivation to continue diminishes considerably.To address these challenges,this study developed an intelligent digital human-based teaching system that leverages the capabilities of large language models to provide personalized,interactive,and real-time support.It is designed to simulate the presence of a human instructor,enhancing the learning experience by offering tailored guidance,answering queries,and adapting to individual progress,features that ultimately foster a more engaging and efficient educational process.The proposed solution seeks to bridge the gap between the flexibility of pre-recorded lessons and the interactive,instantaneous engagement typically associated with live courses.
