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Te Hu; Zongmin Fu; Niya Wang; Jinbin Gui; Qinghe Song; Xiaofan Qian – Education and Information Technologies, 2025
Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…
Descriptors: Student Projects, Active Learning, Models, Computer Uses in Education
Surip Haryani; Maulida Rahmawati Emha – English Language Teaching Educational Journal, 2025
This research formulates and tests an AI-integrated e-book to increase English for Specific Purposes (ESP) learning by health science students in order to enhance speaking performance. Conventional ESP materials in health sciences are typically static and non-interactive, limiting opportunities for real-time communicative practice. Using a…
Descriptors: English for Special Purposes, Artificial Intelligence, Second Language Learning, Health Sciences
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
Tiffany Wu; Christina Weiland – Annenberg Institute for School Reform at Brown University, 2024
Chronic absenteeism is a critical issue that has been linked to many adverse student outcomes. The current study focuses on improving a key system already in place in many school districts--early warning systems (EWSs)--in order to decrease chronic absenteeism in students' earliest schooling years. Using a demographically diverse population of…
Descriptors: Elementary School Students, Kindergarten, Grade 1, Grade 2
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)
Neisler, Otherine Johnson, Ed. – Palgrave Studies on Leadership and Learning in Teacher Education, 2022
This handbook provides a global overview of the design, implementation and assessment of academic development centers within higher education institutions. The current nature of our complex, rapidly changing world makes it imperative that colleges and universities worldwide find ways to educate their students in new and better ways: this is…
Descriptors: Faculty Development, Program Design, Program Implementation, Program Evaluation
Kong, Siu-Cheung; Cheung, William Man-Yin; Zhang, Guo – Educational Technology & Society, 2023
Emerging research is highlighting the importance of fostering artificial intelligence (AI) literacy among educated citizens of diverse academic backgrounds. However, what to include in such literacy programmes and how to teach literacy is still under-explored. To fill this gap, this study designed and evaluated an AI literacy programme based on a…
Descriptors: Program Evaluation, Artificial Intelligence, Literacy, College Students
De La Hoz, Enrique; Zuluaga, Rohemi; Mendoza, Adel – Journal on Efficiency and Responsibility in Education and Science, 2021
This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In the first phase, university profiles are created through cluster analysis. In the second phase, the academic efficiency of these profiles is evaluated through Data Envelopment Analysis. Finally, a machine learning model is trained…
Descriptors: Program Effectiveness, Program Evaluation, Engineering Education, Multivariate Analysis
Neslihan Kurt – Journal of Education and Learning, 2025
The aim of this research is to evaluate the OpenZeka Mini Autonomous Race Car (MARC), Turkey's first autonomous vehicle competition, within the scope of the education program. The study employed the case study technique, adopting "Responsive" and "Analytical" Program Evaluation Models as the research framework. Initially,…
Descriptors: Foreign Countries, Competition, Artificial Intelligence, Training
Amal Abdullah Alibrahim – South African Journal of Education, 2024
After ChatGPT was released late in 2022, many arguments about its accuracy and use in education arose. In this article, I seek to provide evidence of the accuracy and validity of ChatGPT's responses to users' queries in education by applying a systematic review methodology to analyse publications in specific databases following PRISMA guidelines…
Descriptors: Artificial Intelligence, Technology Uses in Education, Reliability, Natural Language Processing
Amal Abdelsattar Metwally; Wagdi Rashad Ali Bin-Hady; Eisa Asiri – International Journal of Language Education, 2024
Artificial Intelligence (AI) powered translation influxes in the translation industry. Yet, questions have arisen about the quality of AI-powered translation systems (AIPTSs). Therefore, this study aims to evaluate the translation quality generated by ChatGPT for the Farewell Sermon. Using House's (2015) model of translation quality assessment…
Descriptors: Artificial Intelligence, Translation, Accuracy, Program Evaluation
Yushan Kuerban; Solomon Sunday Oyelere; Ismaila Temitayo Sanusi – International Journal of Technology in Education and Science, 2025
Dyslexia is a learning disability that significantly hinders students' abilities to read and comprehend educational materials, posing a substantial challenge within educational environments. This paper introduces an innovative educational system, ReadSmart, that integrates both Augmented Reality (AR) and Generative Artificial Intelligence (GenAI)…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Simulation
Walter L. Leite; Samrat Roy; Nilanjana Chakraborty; George Michailidis; A. Corinne Huggins-Manley; Sidney K. D'Mello; Mohamad Kazem Shirani Faradonbeh; Emily Jensen; Huan Kuang; Zeyuan Jing – Grantee Submission, 2022
This study presents a novel video recommendation system for an algebra virtual learning environment (VLE) that leverages ideas and methods from engagement measurement, item response theory, and reinforcement learning. Following Vygotsky's Zone of Proximal Development (ZPD) theory, but considering low affect and high affect students separately, we…
Descriptors: Artificial Intelligence, Video Technology, Technology Uses in Education, Program Effectiveness
Kong, Siu-Cheung; Cheung, William Man-Yin; Tsang, Olson – Education and Information Technologies, 2023
Artificial intelligence (AI) literacy education for senior secondary students can prepare them for an AI-pervasive future. Although senior secondary students have been targeted, whether they can learn abstract AI concepts, feel empowered to harness AI and understand AI ethical issues is under-researched. We report a 34-h AI literacy programme with…
Descriptors: Program Evaluation, Artificial Intelligence, Literacy Education, Secondary School Students
Laura Kuusemets; Kristin Parve; Kati Ain; Tiina Kraav – International Journal of Education in Mathematics, Science and Technology, 2024
Using multiple-choice questions as learning and assessment tools is standard at all levels of education. However, when discussing the positive and negative aspects of their use, the time and complexity involved in producing plausible distractor options emerge as a disadvantage that offsets the time savings in relation to feedback. The article…
Descriptors: Program Evaluation, Artificial Intelligence, Computer Assisted Testing, Man Machine Systems

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