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Mi Kyung Cho; Seyoung Kim – International Electronic Journal of Mathematics Education, 2025
This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…
Descriptors: Mathematics Education, Artificial Intelligence, Individualized Instruction, Educational Technology
Nancy Otero; Stefania Druga; Andrew Lan – Discover Education, 2025
This study introduces an evaluation benchmark for middle school algebra to be used in artificial intelligence (AI) based educational platforms. The goal is to support the design of AI systems that can enhance learners' conceptual understanding of algebra by taking into account learners' current level of algebra comprehension. The dataset comprises…
Descriptors: Benchmarking, Misconceptions, Mathematical Concepts, Secondary School Mathematics
Lianghai Chu – Education and Information Technologies, 2025
The rapid advancement of artificial intelligence (AI) technology has enabled the creation of digital human instructors with human-like visual and verbal characteristics. This study investigates the impact of human likeness on learner satisfaction within e-learning environments, drawing on the "Uncanny Valley" theory and the Experience…
Descriptors: Student Satisfaction, Computer Assisted Instruction, Electronic Learning, Artificial Intelligence
Weijiao Huang; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2025
In an online learning environment, both instruction and assessments take place virtually where students are primarily responsible for managing their own learning. This requires a high level of self-regulation from students. Many online students, however, lack self-regulation skills and are ill-prepared for autonomous learning, which can cause…
Descriptors: Independent Study, Interpersonal Relationship, Electronic Learning, Computer Software
Patrick Bowers; Kelley Graydon; Tracii Ryan; Jey Han Lau; Dani Tomlin – Australasian Journal of Educational Technology, 2024
This study presents a scoping review of research on artificial intelligence (AI)- driven virtual patients (VPs) for communication skills training of healthcare students. We aimed to establish what is known about these emergent learning tools, to characterise their design and implementation into training programmes. The preferred reporting items…
Descriptors: Allied Health Occupations Education, Artificial Intelligence, Computer Simulation, College Students
Sajjad Bahrami – ProQuest LLC, 2021
In this thesis, we incorporate information theory into statistical signal processing and machine learning in order to achieve robust learning in presence of outliers (or generally in environments with non-Gaussian structure). In other words, by incorporating information theory especially when structure of environment is non-Gaussian, the…
Descriptors: Electronic Learning, Artificial Intelligence, Algorithms, Information Networks
Philip Slobodsky; Mariana Durcheva – International Journal of Mathematical Education in Science and Technology, 2025
AI-based bots (ChatGPT) are capable of solving mathematics problems, and students often use them for homework preparation, self-learning, etc. This raises a number of didactical and technical questions: How can students submit assignments containing complex mathematical expressions using only a keyboard? How should mathematics errors in ChatGPT's…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
Rui Guo – International Journal of Web-Based Learning and Teaching Technologies, 2024
To promote the construction of public physical education online courses in colleges and universities and the evaluation of the effectiveness of course teaching, this article combines 3D reconstruction techniques in computer vision to construct a set of human body shape reconstruction models and apply them to physical training exercises and…
Descriptors: Artificial Intelligence, Information Technology, Physical Education, Teaching Methods
Mingyu Feng; Neil Heffernan; Kelly Collins; Cristina Heffernan; Robert F. Murphy – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology,…
Descriptors: Homework, Artificial Intelligence, Computer Assisted Instruction, Feedback (Response)
Seren, Mehmet; Ozcan, Zeynel Ersin – International Journal of Curriculum and Instruction, 2021
The concept of distance education has become even more substantial in the days when humanity is having difficult times with pandemic. Besides, there is an idea that education will have transformed when the life after pandemic starts. Aim of this research is to discuss artificial intelligence-supported or artificial intelligence-based education,…
Descriptors: COVID-19, Pandemics, Distance Education, Artificial Intelligence
Chang, Ching-Yi; Kuo, Shu-Yu; Hwang, Gwo-Haur – Educational Technology & Society, 2022
Conventional nursing courses have solely adopted lecture-based instruction for knowledge delivery, which tends to lack interaction, rehearsal, and personalized feedback. The development of chatbot technologies and their broad application have provided an opportunity to solve the abovementioned problems. Some knowledge-based chatbot systems have…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Computer Assisted Instruction, Nursing Education
Li, Kam Cheong; Wong, Billy Tak-Ming – Interactive Technology and Smart Education, 2022
Purpose: This paper aims to present a comprehensive review of the present state and trends of smart education research. It addresses the need to have a systematic review of smart education to depict its research landscape in view of the growing volume of related publications. Design/methodology/approach: A bibliometric analysis of publications on…
Descriptors: Electronic Learning, Artificial Intelligence, Technology Uses in Education, Bibliometrics
Prapasiri Klayklung; Piyawatjana Chocksathaporn; Pongsakorn Limna; Tanpat Kraiwanit; Kris Jangjarat – Online Submission, 2023
The development of conversational artificial intelligence (AI) has brought about new opportunities for improving the learning experience in education. ChatGPT, a large language model trained on a vast corpus of text, has the potential to revolutionize education by enhancing learning through personalized and interactive conversations. This paper…
Descriptors: Artificial Intelligence, Interaction, Foreign Countries, Technology Integration
Sreenivasulu Reddy Mogali; Olivia Ng; Jia Xin Tan; Thu Htet San; Kian Bee Ng – Anatomical Sciences Education, 2024
The COVID-19 pandemic revealed the pivotal role of digital learning and online lecture videos, leading a shift toward blended and flipped classrooms in the post-pandemic era. This shift calls for development and (or) refreshment of novel online educational resources, such as Voice-Over PowerPoint (VOPPT) presentations, specifically designed for…
Descriptors: Undergraduate Students, Medical Students, Medical Education, Anatomy
Asmaa Falah Theiyab Alazemi – Language Testing in Asia, 2024
This paper investigates the effects of formative assessment (FA) via artificial intelligence (AI) on EFL students' reading comprehension development, online academic enjoyment, personal best goals (PBGs), and academic mindfulness. To achieve this, 80 Kuwaiti students were selected through convenience sampling and divided into the experimental…
Descriptors: Formative Evaluation, Artificial Intelligence, Reading Comprehension, Electronic Learning

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