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Moon, Hyunchang; Cheon, Jongphil; Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2022
To help novice learners overcome the obstacles of learning computational thinking (CT) through programming, it is vital to identify difficult CT components. This study aimed to determine the computational concepts and practices that learners may have difficulties acquiring and discuss how programming instructions should be designed to facilitate…
Descriptors: Difficulty Level, Computation, Thinking Skills, Programming
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Chih-Hung Chen; Hsiang-Yu Chung – Journal of Educational Computing Research, 2024
Computational thinking (CT) has gained considerable attention and in-depth discussion over the last two decades. Although the significance of CT has been highlighted, it could be challenging for educators to teach CT. Fortunately, adopting robots in education has been evidenced to be of benefit to promoting students' learning motivation, CT, and…
Descriptors: Computation, Thinking Skills, Teaching Methods, Programming
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Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
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Gao, Xuemin; Hew, Khe Foon – Journal of Educational Computing Research, 2023
Reintroducing computer science (CS) education in K-12 schools to promote computational thinking (CT) has attracted significant attention among scholars and educators. Among the several essential components included in CS and CT education, program debugging is an indispensable skill. However, debugging teaching has often been overlooked in K-12…
Descriptors: Flipped Classroom, Error Correction, Elementary School Students, Programming
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Chen, Ching-Huei; Liu, Tung-Kai; Huang, Kun – Journal of Research on Technology in Education, 2023
With the rapid development of artificial intelligence in many disciplines, computational thinking (CT) has become an important skill for the 21st century. To promote vocational high school students' CT skills in learning about programmable logic controllers, this study intended to examine how cognitive and metacognitive prompts separately or…
Descriptors: Vocational High Schools, High School Students, Thinking Skills, Computation
Chen Sun – ProQuest LLC, 2021
Computational thinking (CT) is an essential 21st century skill for people to succeed in the increasingly technological (and interconnected) world. Researchers have explored different interventions to teach students CT skills (e.g., Scratch and robotics), but digital game-based learning is relatively under-researched. A critical issue to address in…
Descriptors: Computation, Thinking Skills, Game Based Learning, Scaffolding (Teaching Technique)
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Relkin, Emily; de Ruiter, Laura; Bers, Marina Umaschi – Journal of Science Education and Technology, 2020
There is a need for developmentally appropriate Computational Thinking (CT) assessments that can be implemented in early childhood classrooms. We developed a new instrument called "TechCheck" for assessing CT skills in young children that does not require prior knowledge of computer programming. "TechCheck" is based on…
Descriptors: Developmentally Appropriate Practices, Computation, Thinking Skills, Early Childhood Education
Nicholas Alan Lytle – ProQuest LLC, 2020
It is becoming increasingly necessary for every child to have experience with 21st century Computational Thinking (CT) skills including learning to program. Considerable efforts have been made within the last two decades including the development and widespread use of novice-friendly block-based programming environments such as Scratch and Snap!…
Descriptors: Scaffolding (Teaching Technique), Elementary Secondary Education, Instructional Design, 21st Century Skills
Chen, Guanhua – ProQuest LLC, 2018
This study is part of a larger design study that iteratively improves a robotics programming curriculum as well as a computational thinking (CT) instrument. Its focus was majorly on CT assessment and particularly on an online CT instrument with logging functionality that can store a student's problem-solving process by recording interactions…
Descriptors: Elementary School Students, Test Construction, Cognitive Tests, Computer Assisted Testing
Pema, Enela – ProQuest LLC, 2014
An inconsistent database is a database that violates one or more of its integrity constraints. In reality, violations of integrity constraints arise frequently under several different circumstances. Inconsistent databases have long posed the challenge to develop suitable tools for meaningful query answering. A principled approach for querying…
Descriptors: Databases, Integrity, Reliability, Online Searching
Djambong, Takam; Freiman, Viktor – International Association for Development of the Information Society, 2016
While today's schools in several countries, like Canada, are about to bring back programming to their curricula, a new conceptual angle, namely one of computational thinking, draws attention of researchers. In order to understand the articulation between computational thinking tasks in one side, student's targeted skills, and the types of problems…
Descriptors: Foreign Countries, Computer Science Education, Programming, Computation
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis