To promote cross-community dialogue on matters of significance within the field of learning
analytics], we as editors-in-chief of the Journal of Learning Analytics have introduced a …

A central component of many AIED systems is a “domain model,” that is, a representation of
knowledge of the domain of instruction. The system uses the model in many ways to provide …

Associating assessment items with hypothesized knowledge components (KCs) enables us
to gain fine-grained data on students' performance within an ed-tech system. However …

The purpose of this study was to determine what factors of the Assessment and Learning in
Knowledge Spaces (ALEKS), an ITS, are predictive of struggling learners' performance in a …

Combining assessment items with their hypothesized knowledge components (KCs) is
critical in acquiring fine-grained data on student performance as they work in an ed tech …

Many studies have been conducted on modeling learners in education using probabilistic
methods to infer different indicators. However, little research has been done on modeling …

Amidst the ever-expanding realm of scientific and mathematical literature, distilling valuable
insights from a multitude of articles holds paramount importance. This study introduces a …

**五年网络教育的变革和深度学**等人工智能技术的飞速发展给学**者模型的研究和应用带来
了新的机遇和挑战. 目前, 教学数据中蕴含的大量价值亟待挖掘, 而实践中绝大部分教学环境对 …

Abstract Latent Dirichlet Allocation (LDA) is a probabilistic topic model that has been used in
the context of testing for detecting the latent themes in examinees' responses to constructed …

This article reviews publications related to the use of student data as features in educational
systems. As education becomes more and more digital, systems are able to collect and …