Learning Programming With Augmented Reality-Based Editor: A Dynamic Code Visualisation Approach

IF 5.1 2区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Journal of Computer Assisted Learning Pub Date : 2024-11-28 DOI:10.1111/jcal.13093

Merve Aydin, Ünal Çakiroğlu

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引用次数: 0

Abstract

Background

Students experience higher-order thinking skills by finding ways to solve the problem, debugging errors while applying the solution, and testing the solution in programming. However, the inability to create schemas that will characterise programming structures is one of the difficulties during this process.

Objectives

This study aimed to create an augmented reality-based programming editor and evaluate its contributions to learning programming. Text-based programming codes developed by the students on the editor were instantly visualised through a traffic metaphor in dynamic visualisation via augmented reality. The findings of this study highlight the significance of a novel usage of augmented reality in shaping cognitive processes during the programming learning process.

Methods

An exploratory case study was adopted in the study. Participants voluntarily selected 15 students in the same secondary school's 4th and 5th grades. The data to determine the programming performances were collected via a programming performance test and analysed with the rubric created by the authors. Interviews and screen recordings were employed to determine the factors that had a role in the programming learning process.

Results and Conclusions

The results indicated that teaching programming using the augmented reality-based editor has positively contributed to learning programming. The editor's scenario, animation, and error display features incorporated with an authentic dynamic visualisation were remarkable in this contribution. The editor also contributed to reducing students' efforts to create schemas for programming by bringing the context closer to reality throughout the programming process.

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来源期刊

Journal of Computer Assisted Learning EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

9.70

自引率

6.00%

发文量

116

期刊介绍： The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope