Analyzing Students’ Computational Thinking and Programming Skills for Mathematical Problem Solving

Hansen, Nils Kristian; Hadjerrouit, Said

doi:10.1007/978-3-031-18512-0_10

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Computational thinking is a valuable skill set applicable in various domains. It promotes problem-solving, creativity, analytical thinking, and the ability to approach complex issues in a structured and systematic way [25], [26].…”

Section: Computational Thinkingmentioning

confidence: 99%

Digital Twins-Based Cognitive Apprenticeship Model in Smart Agriculture

Thipphayasaeng,

Piriyasurawong,

Phanichsiti

2024

Int. J. Interact. Mob. Technol.

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Applying digital technologies in education has been proven to have several positive impacts on teaching and learning. Digital twins have the potential to revolutionize education by offering immersive and interactive learning experiences. They can simulate virtual environments, enabling students to conduct experiments, practice techniques, and observe outcomes in a safe and cost-effective setting, particularly when access to physical laboratories is limited or expensive. This work proposes a learning management model that applies cognitive apprenticeship learning theory as a framework for learning digital twins to enhance the programming of a smart agriculture system and computational thinking skills. The model consists of three parts: input, learning process, and output with feedback. The input phase includes setting learning objectives, analyzing learners, determining learning content, planning learning activities, and utilizing a digital twin virtual laboratory space for experimenting in the development of a smart agriculture system. The learning process involves engaging students in programming and problem-solving tasks by offering expert guidance and support in computationally solving problems. The achievement of learning outcomes and practices is included in the output and feedback sections. After evaluation, five experts in this subject agreed that the learning management model was at the most appropriate level.

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Section: Computational Thinkingmentioning

confidence: 99%

Digital Twins-Based Cognitive Apprenticeship Model in Smart Agriculture

Thipphayasaeng,

Piriyasurawong,

Phanichsiti

2024

Int. J. Interact. Mob. Technol.

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Supporting Students’ Mathematical Problem Solving Through Computational Thinking and Programming: A Use-Modify-Create Approach

Hadjerrouit,

Hansen

2024

Cognition and Exploratory Learning in the Digital Age

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Gamification and Computational Thinking in Education: A systematic literature review

Triantafyllou,

Sapounidis,

Farhaoui

2024

Salud, Ciencia y Tecnología - Serie de Conferencias

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The rapid development of gamification and computational thinking seems to open up new educational horizons by providing new opportunities for students to acquire the basic digital skills needed for their cognitive development. Gamification, on the side, flourishes because it brings about high degree of participants’ engagement in an activity. Accordingly, on the other side, the growing scientific interest in computational thinking centers on the fact that it provides a fruitful field of dialogue in the research community for the development of critical and analytical thinking of students. Hence, this paper aims to synthesize knowledge about gamification and computational thinking for improving education for the benefit of students. Specifically, this paper describes: (a) the theoretical background of gamification in learning and education, (b) relevant studies in literature and their findings, and (c) specific gamified applications of STEM [Science, Technology, Engineering, Mathematics] which have been developed to this subject area. Four databases were searched, and 37 papers were finally selected for this review. The findings from the presented learning theories set the foundation on how students obtain knowledge, and the relevant studies in the field of gamification and computational thinking showed some first positive outcomes stemming some first research attempts which need further examination. Furthermore, it seems that with the right use of game mechanics and elements, well-designed applications of STEM gain students’ interest to learn through gameplay and motivate them to cultivate computational thinking and problem-solving skills.

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Analyzing Students’ Computational Thinking and Programming Skills for Mathematical Problem Solving

Cited by 3 publications

References 10 publications

Digital Twins-Based Cognitive Apprenticeship Model in Smart Agriculture

Digital Twins-Based Cognitive Apprenticeship Model in Smart Agriculture

Supporting Students’ Mathematical Problem Solving Through Computational Thinking and Programming: A Use-Modify-Create Approach

Gamification and Computational Thinking in Education: A systematic literature review

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