Structure-based knowledge tracing
Webas deep knowledge tracing and dynamic key-value memory networks (DKVMN), fail to comprehensively consider some key features that may influence the prediction results of knowledge tracing. To solve this problem, we propose a new model called knowledge tracing based on multi-feature fusion (KTMFF), which introduces features of the question … WebKnowledge tracing (KT) serves as a primary part of intelligent education systems. Most current KTs either rely on expert judgments or only exploit a single network structure, …
Structure-based knowledge tracing
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WebInspired by the recent successes of graph neural networks (GNNs), we herein propose a GNN-based knowledge tracing method, i.e., graph-based knowledge tracing. Casting the knowledge structure as a graph enabled us to reformulate the knowledge tracing task as a time-series node-level classification problem in the GNN. WebOct 18, 2024 · In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students' mastery of knowledge …
WebJul 19, 2024 · To improve the performance in prediction, many KT models have been proposed, including Bayesian Knowledge Tracing (BKT) [ 1] and Deep Knowledge Tracing [ 2 ], which are representative models based on traditional methods and … Webspatial associations and complex structures of the nodes; and 3) they represent either concepts or exercises only, without ... Inspired by recent advances in self-supervised learning, we propose a Bi-Graph Contrastive Learning based Knowledge Tracing (Bi-CLKT) to address these limitations. Specifically, we design a two-layer comparative
WebCasting the knowledge structure as a graph enabled us to reformulate the knowledge tracing task as a time-series node-level classification problem in the GNN. As the … WebOct 18, 2024 · In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students' mastery of knowledge concepts to provide high-quality education. In KT, there are natural graph structures among questions and knowledge concepts so some studies explored the application of graph neural …
WebApr 20, 2024 · We use the mouse-tracking data to identify the structure knowledge component and show that it is often present in the absence of the attribution component …
WebIn this paper, we propose a new framework called Structure-based Knowledge Tracing (SKT), which exploits the multiple relations in knowledge structure to model the influence propagation among concepts. In the SKT framework, we consider both the temporal effect on the exercising sequence and the spatial effect on the knowledge structure. mls playoff oddsWebNov 15, 2024 · The term knowledge tracing was first proposed by Corbett and Anderson in 1995. A knowledge tracing model comprises three parts: (1) student knowledge state modeling; (2) exercises and skills (or knowledge concepts) modeling; (3) prediction module. in india it has become easy to attackWebABSTRACT. Knowledge tracing is the task of understanding student’s knowledge acquisition processes by estimating whether to solve the next question correctly or not. Most deep learning-based methods tackle this problem by identifying hidden representations of knowledge states from learning histories. However, due to the sparse interactions ... mls playoff matchupsWebNov 1, 2024 · As a cognitive model with the goal of mastery-based learning, Knowledge Tracing (KT) is first introduced into the field of intelligent tutoring systems in [6]. It seeks to monitor the evolving state of students’ mastery of a specific learning concept or knowledge when they interact with several corresponding exercises. mls playoff predictionsWebJan 1, 2024 · Generally, Knowledge tracing (KT) is a well-established research area of artificial intelligence in education, which aims to leverage students' learning interactions (i.e., exercise and item response) to estimate their knowledge states (i.e., unlearned and learned). in india in asiaWebJun 30, 2024 · Bayesian Knowledge Tracing (BKT) is an established approach to modeling skill acquisition of students working with intelligent tutoring systems. However, BKT is far … in india in the middle easthttp://staff.ustc.edu.cn/~huangzhy/files/papers/ShiweiTong-ICDM2024.pdf in india is there a demand for cfa