Large language models in education: Vision and opportunities
W Gan, Z Qi, J Wu, JCW Lin - 2023 IEEE international …, 2023 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, large language models
(LLMs) have become a hot research topic. Education plays an important role in human …
(LLMs) have become a hot research topic. Education plays an important role in human …
Student learning behavior recognition incorporating data augmentation with learning feature representation in smart classrooms
A robust and scientifically grounded teaching evaluation system holds significant importance
in modern education, serving as a crucial metric that reflects the quality of classroom …
in modern education, serving as a crucial metric that reflects the quality of classroom …
A deep cross-modal neural cognitive diagnosis framework for modeling student performance
In intelligent education systems, one fundamental task is to predict student performance on
new exercises and estimate the knowledge proficiency of students on knowledge concepts …
new exercises and estimate the knowledge proficiency of students on knowledge concepts …
Digital audio tampering detection based on deep temporal–spatial features of electrical network frequency
In recent years, digital audio tampering detection methods by extracting audio electrical
network frequency (ENF) features have been widely applied. However, most digital audio …
network frequency (ENF) features have been widely applied. However, most digital audio …
Multiple learning features–enhanced knowledge tracing based on learner–resource response channels
Knowledge tracing is a crucial task that involves modeling learners' knowledge levels and
predicting their future learning performance. However, traditional deep knowledge tracing …
predicting their future learning performance. However, traditional deep knowledge tracing …
Enhancing student performance prediction on learnersourced questions with sgnn-llm synergy
Learnersourcing offers great potential for scalable education through student content
creation. However, predicting student performance on learnersourced questions, which is …
creation. However, predicting student performance on learnersourced questions, which is …
Design and implementation of an AI‐enabled visual report tool as formative assessment to promote learning achievement and self‐regulated learning: An …
Formative assessment is essential for improving teaching and learning, and AI and
visualization techniques provide great potential for its design and delivery. Using NLP …
visualization techniques provide great potential for its design and delivery. Using NLP …
Knowledge Graph‐Enhanced Intelligent Tutoring System Based on Exercise Representativeness and Informativeness
L Li, Z Wang - International Journal of Intelligent Systems, 2023 - Wiley Online Library
In the realm of online tutoring intelligent systems, e‐learners are exposed to a substantial
volume of learning content. The extraction and organization of exercises and skills hold …
volume of learning content. The extraction and organization of exercises and skills hold …
Students' classroom behavior detection system incorporating deformable detr with swin transformer and light-weight feature pyramid network
Artificial intelligence (AI) and computer vision technologies have gained significant
prominence in the field of education. These technologies enable the detection and analysis …
prominence in the field of education. These technologies enable the detection and analysis …
A survey of models for cognitive diagnosis: New developments and future directions
Cognitive diagnosis has been developed for decades as an effective measurement tool to
evaluate human cognitive status such as ability level and knowledge mastery. It has been …
evaluate human cognitive status such as ability level and knowledge mastery. It has been …