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Nicholas Kofi Akortia Hagan – ProQuest LLC, 2024
Entity Resolution (ER) has been one of the bedrocks in the creation of information systems by ensuring ambiguous entities are identified and resolved by linking. One common design approach of traditional ER systems is to run in single-threaded mode, which makes the system prone to out-of-memory error when processing larger datasets. The Data…
Descriptors: Information Systems, Multivariate Analysis, Information Management, Computer System Design
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Amanda Konet; Ian Thomas; Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Shannon Kugley; Karen Crotty; Meera Viswanathan; Robert Chew – Research Synthesis Methods, 2024
Accurate data extraction is a key component of evidence synthesis and critical to valid results. The advent of publicly available large language models (LLMs) has generated interest in these tools for evidence synthesis and created uncertainty about the choice of LLM. We compare the performance of two widely available LLMs (Claude 2 and GPT-4) for…
Descriptors: Data Collection, Artificial Intelligence, Computer Software, Computer System Design
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Heping Xie; Zongkui Zhou – Journal of Computer Assisted Learning, 2024
Background: Drawing is generally regarded as a promising learning strategy and has been explored in the touchscreen setting with different drawing modes. Although both a finger and a digital pencil can help individuals complete drawing activities effortlessly on touchscreen devices, there is no guarantee that they show the same effect on learning,…
Descriptors: Computer System Design, Visual Aids, Eye Movements, Freehand Drawing
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Timothy Gallagher; Bert Slof; Marieke van der Schaaf; Michaela Arztmann; Sofia Garcia Fracaro; Liesbeth Kester – Journal of Computer Assisted Learning, 2024
Background: Learning analytics dashboards are increasingly being used to communicate feedback to learners. However, little is known about learner preferences for dashboard designs and how they differ depending on the self-regulated learning (SRL) phases the dashboards are presented (i.e., forethought, performance, and self-reflection phases) and…
Descriptors: Learning Analytics, Experiential Learning, Individualized Instruction, Computer System Design
Sungbok Shin – ProQuest LLC, 2024
Data visualization is a powerful strategy for using graphics to represent data for effective communication and analysis. Unfortunately, creating effective data visualizations is a challenge for both novice and expert design users. The task often involves an iterative process of trial and error, which by its nature, is time-consuming. Designers…
Descriptors: Artificial Intelligence, Computer Simulation, Visualization, Feedback (Response)
Steven Ullman – ProQuest LLC, 2024
Modern Information Technology (IT) infrastructure and open-source software (OSS) have revolutionized our ability to access and process data, enabling us to tackle increasingly complex problems and challenges. While these technologies provide substantial benefits, they often expose users to vulnerabilities that can severely damage individuals and…
Descriptors: Artificial Intelligence, Information Technology, Information Systems, Computer Security
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Yiming Ma; Flore Vallet; Bernard Yannou; François Cluzel – European Journal of Engineering Education, 2023
Serious games (SGs) offer an engaging format for teaching industrial engineering (IE) methodologies. IE methodologies involve people following a process in a set of conditions to design, improve and install systems, which are easily scripted into gameplay. The scholarship has proposed co-design approaches for teachers and SG designers. However,…
Descriptors: Engineering, Computer System Design, Cooperation, Expertise
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Pelánek, Radek; Effenberger, Tomáš; Cechák, Jaroslav – International Journal of Artificial Intelligence in Education, 2022
Complexity and difficulty are two closely related but distinct concepts. These concepts are important in the development of intelligent learning systems, e.g., for sequencing items, student modeling, or content management. We show how to use complexity and difficulty measures in the development of learning systems and provide guidance on how to…
Descriptors: Difficulty Level, Intelligent Tutoring Systems, Measurement Techniques, Computer System Design
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Michele Scalera; Agostino Marengo; Vita Santa Barletta; Danilo Caivano; Giovanni Dimauro; Jenny Pange – Education and Information Technologies, 2025
Computer architecture is considered one of the dry and hard-to-learn courses for students in the computer science discipline. Therefore, educational institutions experiment with different pedagogical approaches to enhance students' performance and interest in courses. This study introduces a Simplified Approach to Teach a Processor (SAtTaP), a…
Descriptors: Computer Science Education, Teaching Methods, Computer System Design, Undergraduate Students
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Klaudia Krenca; Emily Taylor; S. Hélène Deacon – Journal of Research in Reading, 2024
Background: This study examined how children's ability to understand what they read on screens is impacted by two specific digital features: hovering hyperlinks and scrolling. Methods: The participants were 75 English-speaking children (M = 9.90 years, SD = 0.90 years) in Grades 3 to 5 who participated in an online research study. Using a…
Descriptors: Hypermedia, Reading Comprehension, Digital Literacy, Children
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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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Nigel Newbutt; Noah Glaser; Marc Sonley Francois; Matthew Schmidt; Sue Cobb – Journal of Autism and Developmental Disorders, 2024
The primary aim of this systematic review is to investigate the inclusion of autistic individuals in the design process of immersive technologies. This study follows the preferred reporting items for systematic reviews and meta-analyses standards for systematic literature reviews. To ensure the research questions and subsequent stages of the…
Descriptors: Information Technology, Computer Simulation, Autism Spectrum Disorders, Literature Reviews
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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
Charles M. Shipman – ProQuest LLC, 2022
High schools must format the master schedules and designate a specific number of instructional minutes to help promote student growth. School leaders that attempt to enhance Pennsylvania Value-Added Assessment growth scores need an opportunity to utilize a master schedule that fits their needs and to support continued growth. With the emergence of…
Descriptors: School Schedules, High School Teachers, Computer System Design, Block Scheduling
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Diego G. Campos; Tim Fütterer; Thomas Gfrörer; Rosa Lavelle-Hill; Kou Murayama; Lars König; Martin Hecht; Steffen Zitzmann; Ronny Scherer – Educational Psychology Review, 2024
Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…
Descriptors: Artificial Intelligence, Algorithms, Computer System Design, Natural Language Processing
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