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Showing 1 to 15 of 44 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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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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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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Priyanshi Garg; S. P. Raja – International Journal of Learning and Change, 2024
Green internet of things is important to achieve atmospheric decarbonisation, it is crucial to implement procedures and practices that prioritise resource conservation and environmental protection. However, the growing use of internet of things devices poses a challenge due to their high-energy requirements for data reception and transmission…
Descriptors: Computer Interfaces, Internet, Equipment, Computer Networks
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Simon Knight; Isabella Bowdler; Heather Ford; Jianlong Zhou – Information and Learning Sciences, 2024
Purpose: Informational conflict and uncertainty are common features across a range of sources, topics and tasks. Search engines and their presentation of results via search engine results pages (SERPs) often underpinned by knowledge graphs (KGs) are commonly used across tasks. Yet, it is not clear how search does, or could, represent the…
Descriptors: Graphs, Search Engines, Web Sites, Design
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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
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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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Katharina C. Cramer; Nicolas V. Rüffin – Minerva: A Review of Science, Learning and Policy, 2025
Political interest in Research Infrastructures on a European scale has been a new phenomenon, marked in the early 2000s with the launch of the Lisbon Strategy and the European Research Area. European Research Infrastructure policy then developed through, first, the strategic incorporation of incumbents through new modes of coordination; second,…
Descriptors: Research, Foreign Countries, Computer Networks, Computer Interfaces
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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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Debora Lui; Deborah A. Fields; Yasmin B. Kafai – Cognition and Instruction, 2024
Debugging (or troubleshooting) provides a rich context to foster problem-solving. Yet, while we know much about some problems and strategies that novices face in programming on-screen, we know far less about debugging and troubleshooting in the context of physical computing, where coding issues may overlap with materially embedded problems. In…
Descriptors: Grade 9, STEM Education, Troubleshooting, Public Schools
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Muhammad Alhammami – Discover Education, 2024
This paper outlines the development of a Hardware Development Kit (HDK) for a remote training platform on FPGA Devices designed to provide university students pursuing degrees in electronic and informatics engineering (at the bachelor's, master's, and PhD levels) with the tools they need to learn and develop systems related to artificial…
Descriptors: Computer System Design, Distance Education, College Students, Engineering Education
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Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
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Johnnie L. Allen Jr.; Freddy Juarez – New Directions for Student Leadership, 2024
This article highlights the importance of leadership engagement throughout the leadership learning process, adding to the leadership learning framework literature. We include a brief overview of leadership engagement as it relates to user-centered design (UCD), commonly utilized in information technology companies. The authors offer how UCD can…
Descriptors: Leadership Training, Learner Engagement, Information Technology, Corporations
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Sugene Kim – Journal of Multilingual and Multicultural Development, 2024
This study reports on an analysis of user-generated comments in response to a newspaper article criticising an overwhelmingly Anglicised user interface in self-ordering kiosks in South Korea. A total of 1,206 comments were subjected to qualitative analysis to identify salient themes reflecting the public's attitudes towards the practice and…
Descriptors: Public Opinion, Foreign Countries, Language Attitudes, Data Analysis
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