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Ryan Hare; Ying Tang; Sarah Ferguson – IEEE Transactions on Education, 2024
Contribution: A general-purpose model for integrating an intelligent tutoring system within a serious game for use in higher education. Additionally, this article also offers discussions of proper serious game design informed by in-classroom observations and student responses. Background: Personalized learning in higher education has become a key…
Descriptors: Intelligent Tutoring Systems, Game Based Learning, Gamification, Student Attitudes
Youngjin Lee – Education and Information Technologies, 2025
This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teachers, Students
Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steve Ritter – Grantee Submission, 2023
Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Artificial Intelligence, Intelligent Tutoring Systems
Mongkhol Prasertsang; Metta Marwiang; Putcharee Junpeng – Journal of Education and Learning, 2025
This study aimed to assess and compare the development of mathematical procedures on the part of Grade 7 students using an intelligent tutoring system on a digital platform. The sample comprised 96 students from Khon Kaen University Demonstration School, Thailand, divided equally into experimental and control groups. The experimental group worked…
Descriptors: Foreign Countries, Mathematics Skills, Grade 7, Mathematics Instruction
Nazia Alam; Behrooz Mostafavi; Sutapa Dey Tithi; Min Chi; Tiffany Barnes – International Educational Data Mining Society, 2024
Reducing learning time or training time in intelligent tutors is a challenging research problem. In this study, we aim to reduce training time while maintaining student performance in intelligent tutors. We propose a Deep Reinforcement Learning (DRL) based method to determine when students need more training and when they don't. We design an…
Descriptors: Intelligent Tutoring Systems, Training, Time, Artificial Intelligence
Mingyu Feng; Natalie Brezack; Chunwei Huang; Yvonne Kao; Kelly Collins; Melissa Lee; Megan Schneider; Wynnie Chan – Journal of Computer Assisted Learning, 2025
Background: Computer-assisted educational technologies that integrate affective supports into math practices could be particularly beneficial for addressing troubling declines in middle grade students' math achievement, affect, and motivation. MathSpring is a web-based intelligent tutor that offers personalised content, remedial tutoring, and…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Mathematics Education, Mathematics Achievement
Metta Marwiang; Mongkhol Prasertsang; Putcharee Junpeng – Journal of Education and Learning, 2025
This study examined the effectiveness of an intelligent tutoring system (ITS) driven by real-time feedback in enhancing students' mathematical learning outcomes, as defined by the Structure of Observed Learning Outcomes. Conducted within the domains of Measurement and Geometry, the study employed a randomized controlled trial involving 120…
Descriptors: Mathematics Achievement, Mathematics Education, Intelligent Tutoring Systems, Feedback (Response)
Zotov, Vladimir; Kramkowski, Eric – International Journal of Artificial Intelligence in Education, 2023
Intelligent tutoring systems (ITSs) may augment military training systems and mitigate existing limitations in training personnel and resources. A study was conducted to investigate the effectiveness of an embedded rifle marksmanship ITS for Moving Targets (MT-ITS). MT-ITS has two main components: (1) a Smart Sight System that provides a…
Descriptors: Intelligent Tutoring Systems, Military Personnel, Military Training, Program Effectiveness
Qian Xu – Discover Education, 2024
This research suggests a methodology to examine the effectiveness Artificial Intelligence (AI) on the cognitive abilities of college students so that future researchers can utilize this experimental project to focus on how AI-powered Intelligent Tutoring Systems (ITSs) affect learning outcomes. As AI continues to revolutionize all walks of life,…
Descriptors: Artificial Intelligence, Cognitive Ability, College Students, Intelligent Tutoring Systems
Kang, Jiwon; Kang, Chaewon; Yoon, Jeewoo; Ji, Houggeun; Li, Taihu; Moon, Hyunmi; Ko, Minsam; Han, Jinyoung – Education and Information Technologies, 2023
Recent technologies have extended opportunities for online dance learning by overcoming the limitations of space and time. However, dance teachers report that student-teacher interaction is more likely to be challenging in a distant and asynchronous learning environment than in a conventional dance class, such as a dance studio. To address this…
Descriptors: Educational Technology, Online Courses, Dance Education, Artificial Intelligence
Charles E. Jakobsche; Pitipat Kongsomjit; Conor Milson; Wenxing Wang; Chun-Kit Ngan – Journal of Chemical Education, 2023
The current work develops intelligent tutoring aspects for the DiscoverOChem learning platform. Intelligent tutoring systems are technology-based learning systems that can adapt the learning experience to better serve individual users. DiscoverOChem (www.discoverochem.com) is a free Internet-based platform for learning undergraduate-level organic…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Undergraduate Study
Xie, Tao; Liu, Ruobin; Chen, Yijin; Liu, Geping – IEEE Transactions on Learning Technologies, 2021
The use of conversational agents in computer-supported collaborative learning (CSCL) has been identified as a useful tactic for motivational intervention. The purpose of the current study was to design and implement a conversational agent called a motivational online conversational agent (MOCA) that incorporated motivational interviewing (MI) and…
Descriptors: Learner Engagement, Cooperative Learning, Intelligent Tutoring Systems, Student Motivation
Nelekar, Shreeya; Abdulrahman, Amal; Gupta, Manik; Richards, Deborah – British Journal of Educational Technology, 2022
Stress has become one of the major reasons for many mental health related issues among students of all age groups, which has resulted in devastating personal losses including suicide. Societal and familial pressure to succeed is high, particularly in developing countries where education is highly valued as a key enabler. As part of stress…
Descriptors: Intelligent Tutoring Systems, Anxiety, Foreign Countries, College Students
Yasemin Copur-Gencturk; Chandra Hawley Orrill – Grantee Submission, 2023
The scalability and accessibility of quality professional development (PD) is an ongoing concern in the teacher education community, yet little research has been conducted on potential solutions. We aimed to address this gap by developing an interactive, virtual PD program that uses intelligent tutoring systems and provides instant feedback to…
Descriptors: Faculty Development, Online Courses, Teacher Education, Intelligent Tutoring Systems
Conrad Borchers; Ha Tien Nguyen; Paulo F. Carvalho; Kenneth R. Koedinger; Vincent Aleven – Grantee Submission, 2025
Caregiver involvement in homework is a key contributor to student success, yet its interaction with intelligent tutoring systems remains underexamined. To address this gap, we conducted a technology probe study exploring how a conversational support tool might enhance caregiver assistance during remote math homework within tutoring systems.…
Descriptors: Parent Participation, Parent Role, Homework, Intelligent Tutoring Systems

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