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Arief Ramadhan; Harco Leslie Hendric Spits Warnars; Fariza Hanis Abdul Razak – Education and Information Technologies, 2024
One of the Information and Communication Technology (ICT) developments used in the learning process is the Intelligent Tutoring System (ITS), and gamification can overcome boredom, lack of interest or motivation, and monotony when using the ITS. In this study, the application of ITS equipped with Gamification is called ITS + G. Currently, several…
Descriptors: Intelligent Tutoring Systems, Gamification, Educational Technology, STEM Education
Hasnan Baber; Kiran Nair; Ruchi Gupta; Kuldeep Gurjar – Information and Learning Sciences, 2024
This paper aims to present a systematic literature review and bibliometric analysis of research papers published on chat generative pre-trained transformer (ChatGPT), an OpenAI-developed large-scale generative language model. The study's objective is to provide a comprehensive assessment of the present status of research on ChatGPT and identify…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Bibliometrics
Zhu, Xinhua; Wu, Han; Zhang, Lanfang – IEEE Transactions on Learning Technologies, 2022
Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG still remain challenging mainly because of the following two major reasons: (1) high-precision scoring…
Descriptors: Intelligent Tutoring Systems, Grading, Automation, Models
Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Journal of Artificial Intelligence in Education, 2023
This paper investigates using multi-label deep learning approach to extending the understanding of cognitive presence in MOOC discussions. Previous studies demonstrate the challenges of subjectivity in manual categorisation methods. Training automatic single-label classifiers may preserve this subjectivity. Using a triangulation approach, we…
Descriptors: Classification, MOOCs, Artificial Intelligence, Intelligent Tutoring Systems
Bai, Xiaoyu; Stede, Manfred – International Journal of Artificial Intelligence in Education, 2023
Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Natural Language Processing, Evaluation
Elvis Ortega-Ochoa; Marta Arguedas; Thanasis Daradoumis – British Journal of Educational Technology, 2024
Artificial intelligence (AI) and natural language processing technologies have fuelled the growth of Pedagogical Conversational Agents (PCAs) with empathic conversational capabilities. However, no systematic literature review has explored the intersection between conversational agents, education and emotion. Therefore, this study aimed to outline…
Descriptors: Empathy, Artificial Intelligence, Databases, Dialogs (Language)
M. Anthony Machin; Tanya M. Machin; Natalie Gasson – Psychology Learning and Teaching, 2024
Progress in understanding students' development of psychological literacy is critical. However, generative AI represents an emerging threat to higher education which may dramatically impact on student learning and how this learning transfers to their practice. This research investigated whether ChatGPT responded in ways that demonstrated…
Descriptors: Psychology, Higher Education, Artificial Intelligence, Intelligent Tutoring Systems
Albornoz-De Luise, Romina Soledad; Arevalillo-Herraez, Miguel; Arnau, David – IEEE Transactions on Learning Technologies, 2023
In this article, we analyze the potential of conversational frameworks to support the adaptation of existing tutoring systems to a natural language form of interaction. We have based our research on a pilot study, in which the open-source machine learning framework Rasa has been used to build a conversational agent that interacts with an existing…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Artificial Intelligence, Models
Feng Hsu Wang – IEEE Transactions on Learning Technologies, 2024
Due to the development of deep learning technology, its application in education has received increasing attention from researchers. Intelligent agents based on deep learning technology can perform higher order intellectual tasks than ever. However, the high deployment cost of deep learning models has hindered their widespread application in…
Descriptors: Learning Processes, Models, Man Machine Systems, Cooperative Learning
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
Yueru Lang; Shaoying Gong; Xiangen Hu; Boyuan Xiao; Yanqing Wang; Tiantian Jiang – Journal of Educational Computing Research, 2024
The present research conducted two experiments with an intelligent tutoring system to investigate the overall and dynamic impact of emotional support from a pedagogical agent (PA). In Experiment 1, a single factor intergroup design was used to explore the impact of PA's emotional support (supportive vs. non-supportive) on learners' emotions,…
Descriptors: Psychological Patterns, Learning Strategies, Multimedia Instruction, Multimedia Materials
Yikai Lu; Lingbo Tong; Ying Cheng – Journal of Educational Data Mining, 2024
Knowledge tracing aims to model and predict students' knowledge states during learning activities. Traditional methods like Bayesian Knowledge Tracing (BKT) and logistic regression have limitations in granularity and performance, while deep knowledge tracing (DKT) models often suffer from lacking transparency. This paper proposes a…
Descriptors: Models, Intelligent Tutoring Systems, Prediction, Knowledge Level
Karima Bouziane; Abdelmounim Bouziane – Discover Education, 2024
The evaluation of student essay corrections has become a focal point in understanding the evolving role of Artificial Intelligence (AI) in education. This study aims to assess the accuracy, efficiency, and cost-effectiveness of ChatGPT's essay correction compared to human correction, with a primary focus on identifying and rectifying grammatical…
Descriptors: Artificial Intelligence, Essays, Writing Skills, Grammar
MacLellan, Christopher J.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2022
Intelligent tutoring systems are effective for improving students' learning outcomes (Pane et al. 2013; Koedinger and Anderson, "International Journal of Artificial Intelligence in Education," 8, 1-14, 1997; Bowen et al. "Journal of Policy Analysis and Management," 1, 94-111 2013). However, constructing tutoring systems that…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Instructional Design
Fu-Yun Yu; Chih-Wei Kuo – Journal of Research on Technology in Education, 2024
There has been an increasing interest in the development of student question-generation (SQG) systems since 2000. To offer a holistic and detailed view of extant SQG systems, a two-dimensional classification scheme was derived to identify commonly embedded ancillary functionalities and design features in the 54 SQG learning systems located through…
Descriptors: Intelligent Tutoring Systems, Holistic Approach, Questioning Techniques, Instructional Design

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