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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
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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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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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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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Khalid Mohiuddin; Huda Fatima; Mohiuddin Ali Khan; Mohammad Abdul Khaleel; Zeenat Begum; Sajid Ali Khan; Omer Bin Hussain – SAGE Open, 2023
This article aims to design a novel edge-centric hierarchical cloud architecture to optimize mobile learning (m-learning) performance during learners executing computation-intensive learning applications. This research adopts the potential of distributed computing paradigms, that is, mobile edge, for improving the effectiveness of m-learning…
Descriptors: Computer Networks, Electronic Learning, College Students, Handheld Devices
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Wilson Libardo Pantoja Yépez; Julio Ariel Hurtado Alegría; Ajay Bandi; Arvind W. Kiwelekar – Education and Information Technologies, 2024
The ability to define, evaluate, and implement software architectures is a fundamental skill for software engineers. However, teaching software architecture can be challenging as it requires students to be involved in real-context projects with high degrees of complexity. This involves making trade-off decisions among several quality attributes.…
Descriptors: Computer Software, Training, Computer Science Education, Teaching Methods
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Mohammed Ahmed Kofahi; Anas Jebreen Atyeh Husain – Journal of Information Technology Education: Research, 2025
Aim/Purpose: In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students' higher-order thinking (HOT) ability in an operating systems (OS) course. Background: A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their…
Descriptors: Artificial Intelligence, Computer Science Education, Thinking Skills, Computer System Design
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Semiral Öncü – Journal of Educational Technology and Online Learning, 2023
Videos as instructional materials have become an important part of higher education. The ability of videos to be shared and used in social and educational settings demonstrates their increasingly significant contemporary impact. Identifying the video features that affect student engagement as a success indicator can therefore contribute to the…
Descriptors: Computer System Design, Visual Aids, Computer Software, Courseware
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Wendy Rowan; Stephen McCarthy; Selam Mebrahtu; Christophe Gauche; Katie O’Reilly; Damilola Odili – Journal of Information Systems Education, 2024
Sustainability refers to the achievement of present needs without compromising the ability of future generations to meet their own needs. While prior research has highlighted the potential of Information Systems (IS) to support sustainability objectives -- for instance, through supporting eco-efficient work practices and democratising healthcare…
Descriptors: Information Systems, Computer System Design, Computer Science Education, Sustainability
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William Cain – Journal of Interactive Learning Research, 2023
As education, technology, and society become ever more intertwined with emerging forms of artificial intelligence (AI), the need to comprehend the potential consequences of its integration has reached a critical juncture. This study seeks to address this need by exploring emerging, formative tensions in the integration of AI in educational…
Descriptors: Artificial Intelligence, Technology Integration, Ethics, Data
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