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As the rapid development of Intelligent Tutoring Systems (ITS) in the past decade, tracing the students' knowledge state has become more and more important in order to provide individualized learning guidance. This is the main idea of…

Computers and Society · Computer Science 2023-05-18 Zhongfeng Jia , Wei Su , Jiamin Liu , Wenli Yue

The iterated learning model is an agent model which simulates the transmission of of language from generation to generation. It is used to study how the language adapts to pressures imposed by transmission. In each iteration, a language…

Computation and Language · Computer Science 2024-11-28 Jack Bunyan , Seth Bullock , Conor Houghton

Knowledge distillation is of key importance to launching multilingual pre-trained language models for real applications. To support cost-effective language inference in multilingual settings, we propose AMTSS, an adaptive multi-teacher…

Computation and Language · Computer Science 2023-05-16 Qianglong Chen , Feng Ji , Feng-Lin Li , Guohai Xu , Ming Yan , Ji Zhang , Yin Zhang

The Iltis project provides an interactive, web-based system for teaching the foundations of formal methods. It is designed with the objective to allow for simple inclusion of new educational tasks; to pipeline such tasks into more complex…

Logic in Computer Science · Computer Science 2022-05-30 Gaetano Geck , Christine Quenkert , Marko Schmellenkamp , Jonas Schmidt , Felix Tschirbs , Fabian Vehlken , Thomas Zeume

Intelligent tutoring systems (ITS) using artificial intelligence (AI) technology have shown promise in supporting learners with diverse abilities. Large language models (LLMs) provide new opportunities to incorporate personas to AI-based…

Human-Computer Interaction · Computer Science 2025-09-25 Haocong Cheng , Si Chen , Christopher Perdriau , Shriya Mokkapati , Yun Huang

Knowledge Tracing (KT) is a research field that aims to estimate a student's knowledge state through learning interactions-a crucial component of Intelligent Tutoring Systems (ITSs). Despite significant advancements, no current KT models…

Computers and Society · Computer Science 2024-12-13 Yongwan Cho , Rabia Emhamed AlMamlook , Tasnim Gharaibeh

Interactive machine translation (IMT) has emerged as a progression of the computer-aided translation paradigm, where the machine translation system and the human translator collaborate to produce high-quality translations. This paper…

Computation and Language · Computer Science 2023-10-10 Jiayi Wang , Ke Wang , Fengming Zhou , Chengyu Wang , Zhiyong Fu , Zeyu Feng , Yu Zhao , Yuqi Zhang

Clarifying user needs is essential for existing task-oriented dialogue systems. However, in real-world applications, developers can never guarantee that all possible user demands are taken into account in the design phase. Consequently,…

Computation and Language · Computer Science 2019-06-13 Weikang Wang , Jiajun Zhang , Qian Li , Mei-Yuh Hwang , Chengqing Zong , Zhifei Li

Knowledge Tracing (KT) is a fundamental task in Intelligent Tutoring Systems (ITS), which aims to model the dynamic knowledge states of students based on their interaction histories. However, existing KT models often rely on a global…

Computers and Society · Computer Science 2025-05-09 Han Liao , Shuaishuai Zu

The large number of reasonably priced computers, Internet broadband connectivity and rich education content has created a global phenomenon by which information and communication technology (ICT) has used to remodel education. E-learning…

Computers and Society · Computer Science 2017-07-11 Ahmad Tasnim Siddiqui , Mehedi Masud

This paper focuses on AI tutors in foreign language learning, a field of application of AI tutors with great development, especially during the last years, when great advances in natural language understanding and processing in real time,…

Human-Computer Interaction · Computer Science 2025-08-08 Nikolaos Avouris

The application of advanced generative artificial intelligence in education is often constrained by the lack of real-time adaptability, personalization, and reliability of the content. To address these challenges, we propose ExpertAgent -…

Artificial Intelligence · Computer Science 2025-10-10 Binrong Zhu , Guiran Liu , Nina Jiang

The aim of this study was to predict university students' learning performance using different sources of data from an Intelligent Tutoring System. We collected and preprocessed data from 40 students from different multimodal sources:…

Computers and Society · Computer Science 2024-03-13 W. Chango , R. Cerezo , M. Sanchez-Santillan , R. Azevedo , C. Romero

Artificial intelligence has been applied in various aspects of online education to facilitate teaching and learning. However, few approaches has been made toward a complete AI-powered tutoring system. In this work, we explore the…

Human-Computer Interaction · Computer Science 2024-08-06 Yulin Chen , Ning Ding , Hai-Tao Zheng , Zhiyuan Liu , Maosong Sun , Bowen Zhou

The growing ubiquity of artificial intelligence (AI), in particular large language models (LLMs), has profoundly altered the way in which learners gain knowledge and interact with learning material, with many claiming that AI positively…

Artificial Intelligence · Computer Science 2025-07-18 Jarosław A. Chudziak , Adam Kostka

Driven by the global shift towards online learning prompted by the COVID 19 pandemic, Artificial Intelligence has emerged as a pivotal player in the field of education. Intelligent Tutoring Systems offer a new method of personalized…

Artificial Intelligence · Computer Science 2025-05-06 Simon Suh

Domain experts should provide relevant domain knowledge to an Intelligent Tutoring System (ITS) so that it can guide a learner during problemsolving learning activities. However, for many ill-defined domains, the domain knowledge is hard to…

Artificial Intelligence · Computer Science 2009-01-30 P. Fournier-Viger , R. Nkambou , E. Mephu Nguifo

Assessment of proficiency of the learner is an essential part of Intelligent Tutoring Systems (ITS). We use Item Response Theory (IRT) in computer-aided language learning for assessment of student ability in two contexts: in test sessions,…

Artificial Intelligence · Computer Science 2024-09-25 Jue Hou , Anisia Katinskaia , Anh-Duc Vu , Roman Yangarber

Xiaomai is an intelligent tutoring system (ITS) designed to help Chinese college students in learning advanced mathematics and preparing for the graduate school math entrance exam. This study investigates two distinctive features within…

Mathematical Software · Computer Science 2024-12-24 Ying Fang , Bo He , Zhi Liu , Sannyuya Liu , Zhonghua Yan , Jianwen Sun

Collaboration is an important problem-solving skill; however, novice collaboration generally benefits from some kind of support. One possibility for supporting productive conversations between collaborators is to encourage pairs of students…

Physics Education · Physics 2009-09-29 Robert G. M. Hausmann , Brett van de Sande , Carla van de Sande , Kurt VanLehn
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