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Muhammad Kamal Hossen; Mohammad Shorif Uddin – Education and Information Technologies, 2025
Online learning continues to expand due to globalization and the COVID-19 pandemic. However, maintaining student engagement in this new normal has become increasingly difficult. Conventional techniques, such as self-reports and manual observations, often fall short of capturing the subtle behaviors that indicate attentiveness. This emphasizes the…
Descriptors: Learner Engagement, Online Courses, Artificial Intelligence, Technology Uses in Education
Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
Ivan Jaramillo; Geovanny Brito; Anthony Pachay; Duval Carvajal – Journal of Technology and Science Education, 2023
Data repositories currently constitute essential programs within institutions. In fact, universities are the primary institutions that promote the creation, management and storage for the safekeeping of a variety of documents, data and/or projects. This work is carried out within the framework of institutional need and the application of knowledge…
Descriptors: Archives, Information Storage, Universities, Algorithms
Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
Stefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
Jian-hui Wu – Journal of Educational Computing Research, 2025
The objective of this research is to investigate how AI-improved dynamic physical education materials impact middle school education in physical settings. Utilizing a randomized controlled crossover approach, a 16-week study involved 120 students aged 12 to 18 to evaluate the impact of AI-enhanced physical education courses against traditional…
Descriptors: Artificial Intelligence, Physical Education, Instructional Materials, Middle School Students
Peer reviewedChen, Ping-Wen; Chang, Shi-Kuo – Telematics and Informatics, 1997
Presents a World Wide Web page model that reacts to pre-defined events and performs actions like "prefetching" automatically. Discusses the active index, conceptual page model; design of the client system, status of the current implementation, prefetching algorithm, an experiment of the algorithm, experimental results of the active index…
Descriptors: Algorithms, Computer Interfaces, Computer Software Development, Expert Systems
Peer reviewedChen, Hsinchun; Chung, Yi-Ming; Ramsey, Marshall; Yang, Christopher C. – Journal of the American Society for Information Science, 1998
This study tested two Web personal spiders (i.e., agents that take users' requests and perform real-time customized searches) based on best first-search and genetic-algorithm techniques. Both results were comparable and complementary, although the genetic algorithm obtained higher recall value. The Java-based interface was found to be necessary…
Descriptors: Algorithms, Artificial Intelligence, Computer Interfaces, Computer Software Evaluation

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