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Kanwal Zahoor; Narmeen Zakaria Bawany – Interactive Learning Environments, 2024
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Courseware, Learning Processes
Semih Sait Yilmaz; Ayse Collins; Seyid Amjad Ali – European Journal of Education, 2024
In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, COVID-19
Towards Automatic Question Generation Using Pre-Trained Model in Academic Field for Bahasa Indonesia
Derwin Suhartono; Muhammad Rizki Nur Majiid; Renaldy Fredyan – Education and Information Technologies, 2024
Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…
Descriptors: Foreign Countries, Computational Linguistics, Computer Software, Questioning Techniques
Sijia Chen; Jan-Louis Kruger – Interpreter and Translator Trainer, 2024
Following a preliminary study that examined the potential effectiveness of a computer-assisted consecutive interpreting (CACI) mode, this paper presents a further trial of the CACI workflow. The workflow involves respeaking using speech recognition (SR) in phase I and production assisted by the SR text and its machine translation (MT) output in…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Translation, Speech Communication
Binbin Zhao; Rim Razzouk – International Journal of Web-Based Learning and Teaching Technologies, 2024
In order to promote the growth of contemporary music and the reform of music, this article designs an improved collaborative filtering (CF) algorithm to solve the problem of sparse matrix in traditional recommendation algorithms. The data matrix is dimensionally reduced to find the nearest neighbor, so as to realize personalized recommendation of…
Descriptors: Music Education, Higher Education, Teaching Methods, Matrices
Mengjiao Yin; Hengshan Cao; Zuhong Yu; Xianyu Pan – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…
Descriptors: Predictor Variables, Artificial Intelligence, Performance, Cluster Grouping
Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
Nikki Robertson-Griffin – Knowledge Quest, 2024
Schools (and some librarians) relegated librarians to the "business of books" and disregarded them of proven technological expertise. Fortunately, school librarians have either continued to insert themselves into digital technologies or emerged from the stacks to reclaim their role as digital resource experts in their schools. So, how do…
Descriptors: School Libraries, Librarians, Social Media, Technological Literacy
Wu, Ting-Ting; Lee, Hsin-Yu; Li, Pin-Hui; Huang, Chia-Nan; Huang, Yueh-Min – Journal of Educational Computing Research, 2024
This study combines ChatGPT, Apple's Shortcuts, and LINE to create the ChatGPT-based Intelligent Learning Aid (CILA), aiming to enhance self-regulation progress and knowledge construction in blended learning. CILA offers real-time, convergent information to learners' inquiries, as opposed to traditional Google search engine that provide divergent…
Descriptors: Independent Study, Learning Processes, Blended Learning, Artificial Intelligence
Vera Cubero – State Education Standard, 2024
Recognizing generative artificial intelligence (AI) as an "arrival technology"--one that has permeated K-12 classrooms and homes with or without schools' officially adopting it--the North Carolina Department of Public Instruction (NCDPI) developed guidelines in 2023 for responsible implementation in schools under the direction of Dr.…
Descriptors: Artificial Intelligence, Guidelines, Technology Uses in Education, Information Literacy
Haidee A. Jackson; Sohyun Yang; Ling Zhang – Journal of Special Education Leadership, 2024
This paper discusses the ethical challenges presented by artificial intelligence (AI) within the instructional process for students with disabilities. The authors briefly overview technological changes in education and applications of AI in education in addition to policy. Discussion is directed toward the development of an ethical pedagogy using…
Descriptors: Ethics, Teaching Methods, Artificial Intelligence, Adoption (Ideas)
Angel Deroncele-Acosta; Omar Bellido-Valdiviezo; María de los Ángeles Sánchez-Trujillo; Madeleine Lourdes Palacios-Núñez; Hernán Rueda-Garcés; José Gregorio Brito-Garcías – SAGE Open, 2024
Although Artificial Intelligence (AI) is notable in education, the studies on its specific application in university science education are still incipient. At the same time, the research demonstrates a critical need to systematize AI pillars to provide a coherent and clear structure to guide the development, implementation, and understanding of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Universities
Jiaqi Yin; Tiong-Thye Goh; Yi Hu – International Journal of Educational Technology in Higher Education, 2024
Educational chatbots (EC) have shown their promise in providing instructional support. However, limited studies directly explored the impact of EC on learners' emotional responses. This study investigated the induced emotions from interacting with micro-learning EC and how they impact learning motivation. In this context, the EC interactions…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Psychological Patterns
Ugur Akpur – Psychology in the Schools, 2024
Creativity has long been consistently assessed as a fundamental aspect of educational psychology and has been treated with much devotion by scholars. In this study, intricate relationship patterns between creativity, emotional intelligence, and personality traits were examined. The Marmara Creative Thinking Dispositions Scale, Trait Emotional…
Descriptors: Creativity, Emotional Intelligence, Personality Traits, Universities
Mohammad Jamshed; Iftikhar Alam; Sultan Al Sultan; Sameena Banu – Journal of Education and e-Learning Research, 2024
The study investigates EFL (English as a Foreign Language) learners' opinions, attitudes and the challenges of incorporating AI-powered teaching and learning. It also examines how their ideas and attitudes are affected by demographic variables. 258 students were selected using a random sampling method from a population comprising students studying…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Student Attitudes

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