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 …

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 …

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

近五年网络教育的变革和深度学习等人工智能技术的飞速发展给学习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 …

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 …

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 …

Abstract1 This chapter details the motivation, structure, and design of the two-day Education
Data Analytics Collaborative Workshop held in the Smith Learning Theater at Teachers …