Intelligent techniques in e-learning: a literature review
Online learning has become increasingly important, having in mind the latest events,
imposed isolation measures and closed schools and campuses. Consequently, teachers …
imposed isolation measures and closed schools and campuses. Consequently, teachers …
SEEP: Semantic-enhanced question embeddings pre-training for improving knowledge tracing
W Wang, H Ma, Y Zhao, F Yang, L Chang - Information Sciences, 2022 - Elsevier
Abstract Knowledge Tracing (KT) defines the task of diagnosing students' dynamic
knowledge level in exercises. Although existing efforts have leveraged question information …
knowledge level in exercises. Although existing efforts have leveraged question information …
Multiple learning features–enhanced knowledge tracing based on learner–resource response channels
Z Wang, Y Hou, C Zeng, S Zhang, R Ye - Sustainability, 2023 - mdpi.com
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 …
3DG: a framework for using generative AI for handling sparse learner performance data from intelligent tutoring systems
Learning performance data (eg, quiz scores and attempts) is significant for understanding
learner engagement and knowledge mastery level. However, the learning performance data …
learner engagement and knowledge mastery level. However, the learning performance data …
Weighted heterogeneous graph-based three-view contrastive learning for knowledge tracing in personalized e-learning systems
Personalized e-learning systems are applications of consumer electronics in the field of
education that provide individualized and adaptive services for users. Knowledge tracing …
education that provide individualized and adaptive services for users. Knowledge tracing …
Review of Question Difficulty Evaluation Approaches.
XU Jia, WEI Tingting, YU Ge… - Journal of Frontiers of …, 2022 - search.ebscohost.com
Difficulty of a question is not only the key information to ensure the rationality of a test paper
and the fairness of a test, but also acts as a critical parameter in intelligent tutoring system …
and the fairness of a test, but also acts as a critical parameter in intelligent tutoring system …
深度知识追踪模型综述和性能比较
王宇， 朱梦霞， 杨尚辉， 陆雪松， 周傲英 - 软件学报, 2022 - jos.org.cn
知识追踪是一种重要的认知诊断方法, 往往被用于在线学习平台, 智能辅导系统等信息化教学
平台中. 知识追踪模型通过分析学生与课程作业的交互数据, 即时模拟学生对课程知识点的掌握 …
平台中. 知识追踪模型通过分析学生与课程作业的交互数据, 即时模拟学生对课程知识点的掌握 …
Collaborative embedding for knowledge tracing
Abstract Knowledge tracing predicts students' future performance based on their past
performance. Most of the existing models take skills as input, which neglects question …
performance. Most of the existing models take skills as input, which neglects question …
Evaluating the Effectiveness of Bayesian Knowledge Tracing Model-Based Explainable Recommender
Explainable recommendation, which provides an explanation about why a quiz is
recommended, helps to improve transparency, persuasiveness, and trustworthiness …
recommended, helps to improve transparency, persuasiveness, and trustworthiness …
Review and Performance Comparison of Deep Knowledge Tracing Models
王宇， 朱梦霞， 杨尚辉， 陆雪松， 周傲英 - Journal of Software, 2022 - jos.org.cn
知识追踪是一种重要的认知诊断方法, 往往被用于在线学习平台, 智能辅导系统等信息化教学
平台中. 知识追踪模型通过分析学生与课程作业的交互数据, 即时模拟学生对课程知识点的掌握 …
平台中. 知识追踪模型通过分析学生与课程作业的交互数据, 即时模拟学生对课程知识点的掌握 …