NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 166 to 180 of 2,090 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Andres Neyem; Luis A. Gonzalez; Marcelo Mendoza; Juan Pablo Sandoval Alcocer; Leonardo Centellas; Carlos Paredes – IEEE Transactions on Learning Technologies, 2024
Software assistants have significantly impacted software development for both practitioners and students, particularly in capstone projects. The effectiveness of these tools varies based on their knowledge sources; assistants with localized domain-specific knowledge may have limitations, while tools, such as ChatGPT, using broad datasets, might…
Descriptors: Computer Software, Artificial Intelligence, Intelligent Tutoring Systems, Capstone Experiences
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Prerna Sihag; Vibha – Digital Education Review, 2024
India's growing economy and population proves its significant stake in the Artificial Intelligence (AI) revolution. India's education and technology sector has grown exponentially over the last few years, particularly in times of COVID-19 pandemic but owing to various reasons, it is accessible to only one in four students in India. AI has proven…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Liang Zhang; Jionghao Lin; John Sabatini; Conrad Borchers; Daniel Weitekamp; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser – IEEE Transactions on Learning Technologies, 2025
Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…
Descriptors: Artificial Intelligence, Academic Achievement, Data, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Ling Zhang; Zijun Yao; Arya Hadizadeh Moghaddam – Journal of Teacher Education, 2025
Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Faculty Development
Peer reviewed Peer reviewed
Direct linkDirect link
Sirinda Palahan – IEEE Transactions on Learning Technologies, 2025
The rise of online programming education has necessitated more effective personalized interactions, a gap that PythonPal aims to fill through its innovative learning system integrated with a chatbot. This research delves into PythonPal's potential to enhance the online learning experience, especially in contexts with high student-to-teacher ratios…
Descriptors: Programming, Computer Science Education, Artificial Intelligence, Computer Mediated Communication
Peer reviewed Peer reviewed
Direct linkDirect link
Moses Kumi Asamoah; Jessica Amarteifio – Discover Education, 2025
This systematic review explores the use of Intelligent Tutoring Systems (ITS) in fostering creativity, innovation, and personalized learning experiences among university students in Ghana. The review also examines the challenges associated with the implementation of ITS, along with the ethical considerations involved. Employing an interpretive…
Descriptors: Ethics, Barriers, Intelligent Tutoring Systems, Technology Integration
Banker, Amanda M.; Pavlik, Philip I., Jr.; Olney, Andrew; Eglington, Luke G. – Grantee Submission, 2022
The Mobile Fact and Concept Textbook System (MoFaCTS) is an individualized online tutoring system designed to increase information comprehension and retention. It is being implemented in community college anatomy and physiology (A&P) courses for further system development. A&P was selected because it is a very challenging and highly in…
Descriptors: Intelligent Tutoring Systems, Anatomy, Physiology, Retention (Psychology)
Peer reviewed Peer reviewed
Direct linkDirect link
Yao, Ching-Bang; Wu, Yu-Ling – International Journal of Information and Communication Technology Education, 2022
With the impacts of COVID-19 epidemic, e-learning has become a popular research issue. Therefore, how to upgrade the interactivity of e-learning, and allow learners to quickly access personalized and popular learning information from huge digital materials, is very important. However, chatbots are mostly used in automation, as well as simple…
Descriptors: Electronic Learning, Artificial Intelligence, Individualized Instruction, Bayesian Statistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Banker, Amanda M.; Pavlik, Philip I., Jr.; Olney, Andrew; Eglington, Luke G. – HAPS Educator, 2022
The Mobile Fact and Concept Textbook System (MoFaCTS) is an individualized online tutoring system designed to increase information comprehension and retention. It is being implemented in community college anatomy and physiology (A&P) courses for further system development. A&P was selected because it is a very challenging and highly in…
Descriptors: Intelligent Tutoring Systems, Anatomy, Physiology, Retention (Psychology)
Peer reviewed Peer reviewed
Direct linkDirect link
Park, Seoyeon – TechTrends: Linking Research and Practice to Improve Learning, 2023
Wheel-spinning is unproductive persistence without the mastery of skills. Understanding wheel-spinning during the use of intelligent tutoring systems (ITSs) is crucial to help improve productivity and learning. In this study, following Beck and Gong (2013), we defined wheel-spinning students (unsuccessful students in ITSs) as those who practiced…
Descriptors: Intelligent Tutoring Systems, Productivity, Persistence, Skill Development
Peer reviewed Peer reviewed
Direct linkDirect link
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
Michelle Banawan; Reese Butterfuss; Karen S. Taylor; Katerina Christhilf; Claire Hsu; Connor O'Loughlin; Laura K. Allen; Rod D. Roscoe; Danielle S. McNamara – Grantee Submission, 2023
Writing is essential for success in academics and everyday tasks, but the development of writing skills depends on consistent access to high-quality instruction, extended practice, and personalized feedback. To address these demands and meet students' needs, educators and researchers have turned to technology-based writing tools. Ideally, these…
Descriptors: Intelligent Tutoring Systems, Writing (Composition), Technology Uses in Education, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sychev, Oleg; Penskoy, Nikita; Anikin, Anton; Denisov, Mikhail; Prokudin, Artem – Education Sciences, 2021
Intelligent tutoring systems have become increasingly common in assisting students but are often aimed at isolated subject-domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills, with low-level skills often neglected. We designed and developed an intelligent tutoring system, CompPrehension, which aims to…
Descriptors: Intelligent Tutoring Systems, Comprehension, Undergraduate Students, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Badrinath, Anirudhan; Wang, Frederic; Pardos, Zachary – International Educational Data Mining Society, 2021
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS). In this paper, we provide a brief history of knowledge tracing model research and introduce pyBKT, an accessible and computationally efficient library…
Descriptors: Models, Markov Processes, Mathematics, Intelligent Tutoring Systems
Pages: 1  |  ...  |  8  |  9  |  10  |  11  |  12  |  13  |  14  |  15  |  16  |  ...  |  140