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Tobias Kohn; Jacqueline Staub – Informatics in Education, 2024
The choice of programming language for education is an intensely debated topic. On the one hand, the programming language is supposed to be "relevant" in that its organisation, structures, and paradigms adhere to current standards and best practices in industry and academia. On the other hand, the programming language is expected to be…
Descriptors: Computer Science Education, Programming, Data Processing, Philosophy
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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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Stadler, Matthias; Brandl, Laura; Greiff, Samuel – Journal of Computer Assisted Learning, 2023
Background: Over the last 20 years, educational large-scale assessments have undergone dramatic changes moving away from simple paper-pencil assessments to innovative, technology-based assessments. This comprehensive switch has led to some rather technical improvements such as identifying early guessing or improving standardization. Objectives: At…
Descriptors: Interaction, Measurement, Data Processing, Sustainability
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Mostafa M. Samy; Mohamed A. Metwally; Mahmoud Ashry; Wael M. Elmayyah – Measurement: Interdisciplinary Research and Perspectives, 2025
Gas Turbine Engines (GTE) have the highest power-to-weight ratio among Internal Combustion Engines (ICE). Its modularity and ability to utilize various types of fuel make it highly recommended in power plants, naval transportation, and, of course, the most equipped in aviation. The lack of GTEs' real data is increasing a recognized need for…
Descriptors: Engines, Power Technology, Data Collection, Data Interpretation
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Knox, Jeremy – Learning, Media and Technology, 2023
This paper examines ways in which the ethics of data-driven technologies might be (re)politicised, particularly where educational institutions are involved. The recent proliferation of principles, guidelines, and frameworks for ethical 'AI' (artificial intelligence) have emerged from a plethora of organisations in recent years, and seem poised to…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
Schatz, Sae; Feemster, Val; Tompkins, Juli – Advanced Distributed Learning Initiative, 2021
In May of 2020, the Advanced Distributed Learning Initiative (ADL) and the Defense Acquisition University (DAU) partnered with USALearning/PowerTrain to create a practical application of ADL's 2019 TLA Reference Implementation. The purpose of this project was to recreate key components of the Reference Implementation with commercially-available,…
Descriptors: Distance Education, Competency Based Education, Electronic Learning, Computer Uses in Education
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Nan Pang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Multimedia information fusion technology is currently a popular technology for data processing. The advanced productivity it brings is dozens of times that of traditional data information processing. The collected and processed information is not only efficient and accurate, but also has strong scalability. With the continuous development of…
Descriptors: Foreign Countries, Academic Libraries, Library Facilities, Library Development
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Joakim Landahl – Learning, Media and Technology, 2024
This article explores the history of digital testing technology. Using an organisation that pioneered the use of international large-scale assessments -- the International Association for the Evaluation of Educational Achievement (IEA) -- I discuss the role of computers, punched cards, answer cards and scanning machines as an example of…
Descriptors: Educational History, Measurement, Testing, Computer Assisted Testing
Larini, Michel; Barthes, Angela – John Wiley & Sons, Inc, 2018
This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…
Descriptors: Statistical Analysis, Educational Research, Data Collection, Data Processing
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Mannino, Michael V.; Khojah, Mohammed; Gregg, Dawn G. – Journal of Information Systems Education, 2021
This paper describes an innovative approach for teaching the challenges in the management of data warehouse development. The approach contains lecture material providing conceptual background about the management of data warehouse development, a simulation game supporting experiential learning, and a post-play debriefing to support synthesis of…
Descriptors: Game Based Learning, Simulation, Data Analysis, Teaching Methods
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Turner, David A. – Compare: A Journal of Comparative and International Education, 2017
In his proposal for comparative education, Marc Antoinne Jullien de Paris argues that the comparative method offers a viable alternative to the experimental method. In an experiment, the scientist can manipulate the variables in such a way that he or she can see any possible combination of variables at will. In comparative education, or in…
Descriptors: Comparative Education, Comparative Analysis, Research Methodology, Predictor Variables
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Hildebrandt, Mireille – Journal of Learning Analytics, 2017
This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…
Descriptors: Behaviorism, Data Processing, Profiles, Learning Processes
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Figlio, David; Karbownik, Krzysztof; Salvanes, Kjell – Education Finance and Policy, 2017
Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…
Descriptors: Educational Research, Data, Information Utilization, Management Information Systems
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Slater, Stefan; Joksimovic, Srecko; Kovanovic, Vitomir; Baker, Ryan S.; Gasevic, Dragan – Journal of Educational and Behavioral Statistics, 2017
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will…
Descriptors: Data Analysis, Data Processing, Computer Uses in Education, Educational Research
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Adejo, Olugbenga; Connolly, Thomas – Journal of Education and Practice, 2017
The increase in education data and advance in technology are bringing about enhanced teaching and learning methodology. The emerging field of Learning Analytics (LA) continues to seek ways to improve the different methods of gathering, analysing, managing and presenting learners' data with the sole aim of using it to improve the student learning…
Descriptors: Higher Education, Program Implementation, Information Utilization, Evidence Based Practice
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