AR-Based Resources to Train Computational Thinking Skills

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Abstract

Learning and teaching computer programming is a challenge for everyone because it requires persistence and dedication. Nowadays, Computational Thinking is accepted as an essential skill to overcome those challenges. In this paper, we propose two Augmented Reality (AR) environments that create representations of complex programming constructs displaying engageable and playful activities that can be executed fast and do not require a great mental load. They are intended to be used as Learning Resources to train people in CT. The artifacts enable people to explore CT concepts and diverse problem-solving approaches in a subtle way. These artifacts include two simple AR-based activities, easy to handle and visualize based on “see-through video”. We argue that by interacting with these artifacts, users can acquire CT problem-solving skills. Those two learning activities supported by AR provide visual representations and interactivity to engage students while training CT. We also describe an experiment to test both artifacts. The experiment was carried out with 12 participants of different ages and education levels. The results of feedback collected was positive.

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APA

Lima, L., Saraiva, F., aes, L. G. M., Henriques, P. R., & Cardoso, A. (2023). AR-Based Resources to Train Computational Thinking Skills. In Smart Innovation, Systems and Technologies (Vol. 320, pp. 691–702). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6585-2_61

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