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Showing 1 to 15 of 29 results Save | Export
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Feng Hsu Wang – IEEE Transactions on Learning Technologies, 2024
Due to the development of deep learning technology, its application in education has received increasing attention from researchers. Intelligent agents based on deep learning technology can perform higher order intellectual tasks than ever. However, the high deployment cost of deep learning models has hindered their widespread application in…
Descriptors: Learning Processes, Models, Man Machine Systems, Cooperative Learning
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John Paul P. Miranda; Jaymark A. Yambao – Journal of Education and Learning (EduLearn), 2025
This study explores the novice programmers' intention to use chat generative pretrained transformer (ChatGPT) for programming tasks with emphasis on performance expectancy (PE), risk-reward appraisal (RRA), and decision-making (DM). Utilizing partial least squares structural equation modeling (PLS-SEM) and a sample of 413 novice programmers, the…
Descriptors: Novices, Employees, Programming, Artificial Intelligence
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Zifeng Liu; Wanli Xing; Chenglu Li; Fan Zhang; Hai Li; Victor Minces – Journal of Learning Analytics, 2025
Creativity is a vital skill in science, technology, engineering, and mathematics (STEM)-related education, fostering innovation and problem-solving. Traditionally, creativity assessments relied on human evaluations, such as the consensual assessment technique (CAT), which are resource-intensive, time-consuming, and often subjective. Recent…
Descriptors: Creativity, Elementary School Students, Artificial Intelligence, Man Machine Systems
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Crescenzi-Lanna, Lucrezia – Journal of Research on Technology in Education, 2023
This paper presents a systematic literature review of artificial intelligence (AI)-supported teaching and learning in early childhood. The focus is on human-machine cooperation in education. International evidence and associated problems with the reciprocal contributions of humans and machines are presented and discussed, as well as future…
Descriptors: Artificial Intelligence, Programming, Educational Technology, Man Machine Systems
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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
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Sukan Saeliang; Pinanta Chatwattana – International Education Studies, 2025
The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Man Machine Systems
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Naya-Varela, Martin; Guerreiro-Santalla, Sara; Baamonde, Tamara; Bellas, Francisco – IEEE Transactions on Learning Technologies, 2023
This article presents the Robobo SmartCity model, an educational resource to introduce students to computational intelligence (CI) topics using educational robotics as the core learning technology. Robobo SmartCity allows educators to train learners in artificial intelligence (AI) fundamentals from a feasible and practical perspective, following…
Descriptors: Robotics, Educational Technology, Technology Uses in Education, Computation
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Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
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Gang Zhao; Lijun Yang; Biling Hu; Jing Wang – Journal of Educational Computing Research, 2025
Human-computer collaboration is an effective way to learn programming courses. However, most existing human-computer collaborative programming learning is supported by traditional computers with a relatively low level of personalized interaction, which greatly limits the efficiency of students' efficiency of programming learning and development of…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming, Learning Strategies
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Anas Husain – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to investigate the perceptions of programming instructors among the Information Technology faculty members at AL al-Bayt University regarding the effectiveness of ChatGPT in supporting the programming instructional process. This study also aims to explore their experiences concerning the potential benefits and adverse…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Programming
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Kahn, Ken; Winters, Niall – British Journal of Educational Technology, 2021
Constructionism, long before it had a name, was intimately tied to the field of Artificial Intelligence. Soon after the birth of Logo at BBN, Seymour Papert set up the Logo Group as part of the MIT AI Lab. Logo was based upon Lisp, the first prominent AI programming language. Many early Logo activities involved natural language processing,…
Descriptors: Artificial Intelligence, Man Machine Systems, Programming Languages, Programming
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Daleiden, Patrick; Stefik, Andreas M.; Uesbeck, Phillip Merlin – ACM Transactions on Computing Education, 2020
Coprocessor architectures in High Performance Computing are prevalent in today's scientific computing clusters and require specialized knowledge for proper utilization. Various alternative paradigms for parallel and offload computation exist, but little is known about the human factors impacts of using the different paradigms. With computer…
Descriptors: College Students, Computer Science Education, Scientific Concepts, Computation
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Goudouris, Cesar; de Abreu Mol, Antônio Carlos; Legey, Ana Paula; de Carvalho, Paulo Victor Rodrigues; Freire, Joana Loureiro; Martins, Bianca Maria Rego; Jatobá, Alessandro – Education and Information Technologies, 2020
Teaching computer programming to children and adolescents has become popular in recent years. This popularity has resulted in increased research into techniques for teaching introductory programming using visual languages, especially block-based languages. This study aims to explore new possibilities for teaching programming by adopting a hybrid…
Descriptors: High School Students, Computer Science Education, Programming, Teaching Methods
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Merkouris, Alexandros; Chorianopoulos, Konstantinos – ACM Transactions on Computing Education, 2019
Contemporary research has explored educational robotics, but it has not examined the development of computational thinking in the context of programming embodied interactions. Apart from the goal of the robot and how the robot will interact with its environment, another important aspect that should be taken into consideration is whether and how…
Descriptors: Educational Technology, Robotics, Middle School Students, Man Machine Systems
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Salas-Rueda, Ricardo-Adán – E-Learning and Digital Media, 2020
This quantitative research aims to analyze the impact of the WampServer application in Blended learning during the educational process of computing through data science, machine learning, and neural networks. WampServer is a free application that allows the creation of websites considering the use of the database. This research proposes the use of…
Descriptors: Computer Software, Blended Learning, Educational Technology, Technology Uses in Education
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