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Atthaphon Wongla; Pinanta Chatwattana; Pallop Piriyasurawong – Journal of Education and Learning, 2025
The architecture of the computational thinking with gamified using artificial intelligence prompt engineering, or architecture of the CT platform with gamified, is a learning tool intended to promote activity-based learning that focuses on problem-solving by doing. This platform is fabricated with the combination of computational thinking process…
Descriptors: Artificial Intelligence, Gamification, Experiential Learning, Problem Solving
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
Rijo-Garcia, Sara; Segredo, Eduardo; Leon, Coromoto – IEEE Transactions on Education, 2022
Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computational thinking is defined as a method that enhances problem-solving skills, system design, and…
Descriptors: Computation, Thinking Skills, Computer Science Education, Problem Solving
Christina Kyriakou; Agoritsa Gogoulou; Maria Grigoriadou – Informatics in Education, 2023
This paper presents an educational setting that attempts to enhance students' understanding and facilitate students' linking-inferencing skills. The proposed setting is structured in three stages. The first stage intends to explore students' prior knowledge. The second stage aims to help students tackle their difficulties and misconceptions and…
Descriptors: Thinking Skills, Inferences, Computer Science Education, Computer System Design
Lane, Suzanne; Banuazizi, Atissa; Effron, Malcah; Roldan, Leslie; Ruff, Susan; Stickgold-Sarah, Jessie; Trice, Michael; Karatsolis, Andreas – Across the Disciplines, 2022
Studies have shown that students learning to write in engineering fields struggle to integrate subject matter and communication expertise, and that STEM faculty's communication knowledge often remains tacit, rather than being explicitly taught to students. Here we show a method for eliciting and revealing tacit communication knowledge using what…
Descriptors: Writing Across the Curriculum, STEM Education, Teaching Methods, Communication (Thought Transfer)

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