AR-Based Resources to Train Computational Thinking Skills

Lima, Lázaro V. O.; Saraiva, Francisco; aes, Luis Gonzaga Magalh; Henriques, Pedro Rangel; Cardoso, Alexandre

doi:10.1007/978-981-19-6585-2_61

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…Figure 1 shows the architecture of the overall system that can recognizes a program given as input (the 'code.txt' block in the image) and creates an Augmented Reality interactive scenario to help people comprehending the semantics of that input program. In the sequence of our previous work (see (Lima et al 2022, Saraiva et al 2021 for details) we have decided to use of mobile devices because of their great popularity and the effective power of their technological components. Moreover, that choice offers a low cost solution when compared to Head-mounted display devices.…”

Section: Proposed Systemmentioning

confidence: 99%

Ar-Based Learning Resource: A Different Way to Learn Data-Structures

2023

Proceedings of the International Conferences on E-Society 2023 and Mobile Learning 2023

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Considering the difficulties in the teaching/learning process of computer programming, the development of skills related to Computational Thinking (CT) to prepare people to better solve problems stands out. Augmented Reality (AR) allows for the insertion and interaction with virtual information in the real world. AR is becoming ordinary to humanity, including the design of new teaching/learning strategies that enable the creation of metaphors with virtual information. In this way, it can be said that AR provides a framework for the creation of analogies of complex concepts facilitating their comprehension. This article describes an interactive way of understanding computer instructions (a program) to manipulate data structures (lists, stacks, and queues). The objective of this study is to use Augmented Reality to visualize high-level program statements through a mobile animation system. User instructions are animated in real-time creating virtual 3D representations to help understand operations that handle abstract data-structures used in classic programming. This approach contributes substantially to the construction of educational resources aimed at supporting novice programmers that face critical difficulties to learn adequately Computer Programming. The work described here shows that with effective AR-based Learning Resources, it is possible to train skills such as analyzing, representing information, planning strategies, and systematizing resolution schemes, that are crucial to solve problems.

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Section: Proposed Systemmentioning

confidence: 99%

Ar-Based Learning Resource: A Different Way to Learn Data-Structures

2023

Proceedings of the International Conferences on E-Society 2023 and Mobile Learning 2023

View full text Add to dashboard Cite

show abstract

AR-Based Resources to Train Computational Thinking Skills

Cited by 1 publication

References 9 publications

Ar-Based Learning Resource: A Different Way to Learn Data-Structures

Ar-Based Learning Resource: A Different Way to Learn Data-Structures

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