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Showing 1 to 15 of 66 results Save | Export
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Sven Judel; Jasper vom Felde; Ulrik Schroeder – Technology, Knowledge and Learning, 2024
This article presents the first iteration of the video analytics system VA4ME that enables the logging of video interactions in Moodle without the need to provide the videos by a separate plugin or website. Instead, the logging plugin injects, if allowed within a course, JavaScript code that logs video interactions and transforms these logs into…
Descriptors: Video Technology, Learning Management Systems, Information Storage, Educational Technology
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Bin Hu; Kairong Li; Yingyi Zhang – SAGE Open, 2025
With the rapid development of information technology, telecommunication network fraud poses a serious threat to college students. Urgent action is needed to enhance their awareness of fraud prevention through effective educational methods. This study constructed a behavioral willingness model to use an anti-fraud educational game among university…
Descriptors: Deception, Telecommunications, College Students, Gamification
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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
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Konstantinidis, Angelos – Knowledge Management & E-Learning, 2022
Despite popular myths related to the design and development of an online course, the endeavor is rather complicated. Universal Course Shell Templates (UCSTs) can alleviate teachers' workload, support teachers in taking pedagogically sound decisions, and assist students in their engagement with the course. The study begins with a review of the…
Descriptors: Online Courses, Universities, Misconceptions, Design
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AbdElRahman ElSaid; Yao Shi; Mohamed Wiem Mkaour; Mahmoud Altalouli; Anas Tawfik – Journal of Information Systems Education, 2025
The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such…
Descriptors: Open Source Technology, Artificial Intelligence, Usability, Computer Interfaces
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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
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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
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Rina Dhopeshwarkar; Frances Jiménez; Sofia Ryan; Emma Plourde; Madjid Karimi – American Journal on Intellectual and Developmental Disabilities, 2024
Individuals with intellectual and developmental disabilities (IDD) continue to experience disparities in health and well-being despite improved provisions of person-centered care. Patient-centered outcomes research (PCOR) translates evidence into practice for meaningful outcomes. This piece describes findings from an environmental scan and…
Descriptors: Intellectual Disability, Developmental Disabilities, Medical Care Evaluation, Stakeholders
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Julian Marvin Jörs; Ernesto William De Luca – Technology, Knowledge and Learning, 2025
The real-time availability of information and the intelligence of information systems have changed the way we deal with information. Current research is primarily concerned with the interplay between internal and external memory, i.e., how much and which forms of cognitively demanding processes we handle internally and when we use external storage…
Descriptors: Ethics, Learning Processes, Technology Uses in Education, Influence of Technology
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Oliver Herbort; Philipp Raßbach; Wilfried Kunde – Cognitive Research: Principles and Implications, 2024
Scrolling is a widely used mean to interact with visual displays, usually to move content to a certain target location on the display. Understanding how user scroll might identify potentially suboptimal use and allows to infer users' intentions. In the present study, we examined where users click on a scrollbar depending on the intended scrolling…
Descriptors: Foreign Countries, Adults, Computer Use, Computer Interfaces
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
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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
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Durall Gazulla, Eva; Martins, Ludmila; Fernández-Ferrer, Maite – Education and Information Technologies, 2023
Collaborative design approaches have been increasingly adopted in the design of learning technologies since they contribute to develop pedagogically inclusive and appropriate learning designs. Despite the positive reception of collaborative design strategies in technology-enhanced learning, little attention has been dedicated to analyzing the…
Descriptors: Instructional Design, Cooperation, Educational Technology, Artificial Intelligence
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Alves, Gustavo R.; Marques, Maria A.; Fidalgo, André V.; García-Zubía, Javier; Castro, Manuel; Hernández-Jayo, Unai; García-Loro, Felix; Kreiter, Christian – European Journal of Engineering Education, 2023
This article proposes a roadmap for the VISIR remote laboratory based on a SWOT analysis performed by fifteen experts, with large experience on VISIR deployment, and their perceptions in three categories: Technical, Pedagogical and Educational. The resulting VISIR roadmap was obtained considering an underlying strategy based on a RAKID model. The…
Descriptors: Laboratories, Engineering Education, Expertise, Attitudes
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Arthur William Fodouop Kouam – Discover Education, 2024
This study investigates the effectiveness of Intelligent Tutoring Systems (ITS) in supporting students with varying levels of programming experience. Through a mixed-methods research design, the study explores the impact of ITS on student performance, adaptability to different skill levels, and best practices for utilizing ITS in heterogeneous…
Descriptors: Intelligent Tutoring Systems, Instructional Effectiveness, Programming, Skill Development
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