Analyzing the impact of augmented reality on student motivation: a time series study in elementary education

Shakila Che Dahalan

Analyzing the impact of augmented reality on student motivation: a time series study in elementary education

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Title

Analyzing the impact of augmented reality on student motivation: a time series study in elementary education

Type

Article

Main Author

Shakila Che Dahalan

Subject

H Social Sciences

ISSN

1633-1311

Language Code

eng

Bibliographic Details

Place of Production

Tanjung Malim

Publisher

Fakulti Sains Kemanusiaan

Year of publication

2023

Notes

Ingenierie des Systemes d'Information

Degree Type

Not related

Corporate Name

Universiti Pendidikan Sultan Idris

HTTP Link

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Abstract

Sub-optimal learning outcomes have been observed, often attributed to monotonous educational processes that struggle to retain students' focus and stimulate active participation. This study investigates the potential influence of Augmented Reality (AR) on student motivation, utilizing a time series analysis approach. The primary objectives include assessing the impact of AR on student learning outcomes and identifying the most suitable model for elucidating this relationship. The central research question is: can the implementation of AR enhance student motivation in elementary education? A time series design with a quantitative methodology was employed, involving a cohort of 29 fourth-grade students in Indonesia. Data collection was conducted through a Likert scale questionnaire. Four trend models were tested: the Linear Trend Model, Quadratic Trend Model, Growth Curve Model, and S-Curve Trend Model. The analysis of the collected data, tabulated and analyzed based on the established time series, suggests a positive correlation between AR technology implementation and student motivation. An upward trend in learning motivation was observed following the consistent application of AR technology in educational activities. Among the tested models, the Quadratic Trend Model demonstrated the least error estimate, with MAPE at 1.39, MAD at 1.08, and MSD at 1.44, suggesting it as the most suitable for further analysis related to the predictive power of student learning motivation in this context. This study advocates for the utilization of AR technology as an alternative method in classroom learning activities. The integration of learning content with game-like elements within a realistic world was observed to elicit student interest and enthusiasm. This approach is particularly recommended for educators seeking to enhance their students' learning motivation. 2023 International Information and Engineering Technology Association. All rights reserved.

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