Solution Time and Confidence in the Assessment of Algorithmic and Logical Thinking of First-Year Computer Science Students

Опубликована: Янв. 1, 2025

Язык: Английский

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Game simulators as educational tools for developing algorithmic thinking skills in computer science education

CTE Workshop Proceedings, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

This paper presents an analysis of game simulators as educational tools for developing algorithmic thinking skills in computer science education. As computational becomes increasingly important modern education, innovative approaches to teaching programming and concepts are essential. Game offer engaging interactive alternative traditional methods, particularly - a fundamental skill science. Through synthesis current research pedagogical theories, this examines various including Blockly Games, Rabbids Coding, Kodu Lab, 7 Billion Humans, Minecraft Education Edition. We analyze their features, implementation strategies, effectiveness different contexts while providing theoretical framework connecting gamification principles with psychology. The also addresses practical challenges suggests directions future research. Our findings indicate that simulators, when effectively integrated into curricula, can significantly enhance student engagement, motivation, across levels.

Язык: Английский

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Computational Thinking Skill Level of Senior High School Students Majoring in Natural Science

International Journal of Learning Teaching and Educational Research, Год журнала: 2024, Номер 23(1), С. 339 - 359

Опубликована: Янв. 30, 2024

Computational thinking (CT) is a skill integrated into various curricula in many countries. However, lack of student acceptance and limited assessment become challenges to integrating the curriculum, specifically developing countries like Indonesia. Therefore, this study aimed validate Indonesian version Thinking Scale (CTS) determine CT level high school students majoring science. This was conducted using quantitative approach with cross-sectional survey design. Participants were purposively selected based on certain criteria from population schools Yogyakarta, In study, data collected 526 19 items CTS questionnaires analysed Rasch model measurement. The findings showed that adapted met fit measurement, except for one item. Based logit mean value +1.69, students' ability falls good category, where most frequently implemented aspect problem-solving aspect, while least algorithmic thinking. According Differential Item Function analysis, there differences responses coding experience. expected contribute field science education. addition, results can be an affirmation educational policy makers integrate curriculum natural majors.

Язык: Английский

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Modeling students’ algorithmic thinking growth trajectories in different programming environments: an experimental test of the Matthew and compensatory hypothesis

Smart Learning Environments, Год журнала: 2024, Номер 11(1)

Опубликована: Авг. 19, 2024

Abstract In recent years, programming education has gained recognition at various educational levels due to its increasing importance. As the need for problem-solving skills becomes more vital, researchers have emphasized significance of developing algorithmic thinking (AT) help students in program development and error debugging. Despite text-based block-based tools aimed improving students’ AT, emerging evidence literature indicates insufficient AT among students. This study was conducted understand growth trajectory different environments. The utilized a multigroup experiment involving 240 randomly assigned three groups: text-and-block-based group, block-based-only text-based-only group. Students group were exposed Alice Python; those Alice; Python. We found that participants’ is linear, with significant rate. Although between-person variability exists across groups, we observed compensatory effect groups. Additionally, differences no gender effect. Our findings suggest combining environments can lead improved sustained intra-individual skills, particularly field programming.

Язык: Английский

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Construction and Verification Study on the Hierarchical Model of Teacher–Student Interaction Evaluation for Smart Classroom

The Asia-Pacific Education Researcher, Год журнала: 2024, Номер unknown

Опубликована: Окт. 16, 2024

Язык: Английский

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