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Article

Integrating Chatbot and Augmented Reality Technology into Biology Learning during COVID-19

1
Department of Information & Computer Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan
2
Department of Applied Informatics, Fo-Guang University, Yilan County 26247, Taiwan
*
Author to whom correspondence should be addressed.
Electronics 2023, 12(1), 222; https://doi.org/10.3390/electronics12010222
Submission received: 7 December 2022 / Revised: 29 December 2022 / Accepted: 30 December 2022 / Published: 2 January 2023
(This article belongs to the Special Issue Mobile Learning and Technology Enhanced Learning during COVID-19)

Abstract

The novel coronavirus (COVID-19) pandemic is rampant around the world, and teachers and students are unable to attend physical classes in the midst of a serious outbreak. This study aims to design a user-friendly, educational chatbot application interface that can be used as an after-school self-learning tool for students to enhance their interest and comprehension and increase the effectiveness of their learning at home. The system adopts the Chatfuel platform as the core interface and incorporates augmented reality technology to build a chatbot that allows users to interact with it after they have logged in to Facebook. The content is based on the biology subject of the first year of junior high school and is integrated into the online teaching with augmented reality teaching materials. A user survey is conducted to understand students’ attitudes towards learning biology with the aid of the ARCS motivation model, with 102 valid questionnaires received. The results show that the AR-based chatbot system developed in this study significant influenced the indicators in the ARCS motivation model; therefore, the intention to use the system is presumed to result in a noticeable increase in student learning outcomes when using the system. Accordingly, this study proposes new online learning tools for students to use at home during the pandemic, and the system also provides references for the future development and modification of educational chatbots.
Keywords: augmented reality; chatbot; ARCS (Attention Relevance Confidence and Satisfaction) model; e-learning augmented reality; chatbot; ARCS (Attention Relevance Confidence and Satisfaction) model; e-learning

Share and Cite

MDPI and ACS Style

Chuang, C.-H.; Lo, J.-H.; Wu, Y.-K. Integrating Chatbot and Augmented Reality Technology into Biology Learning during COVID-19. Electronics 2023, 12, 222. https://doi.org/10.3390/electronics12010222

AMA Style

Chuang C-H, Lo J-H, Wu Y-K. Integrating Chatbot and Augmented Reality Technology into Biology Learning during COVID-19. Electronics. 2023; 12(1):222. https://doi.org/10.3390/electronics12010222

Chicago/Turabian Style

Chuang, Chi-Hung, Jung-Hua Lo, and Yan-Kai Wu. 2023. "Integrating Chatbot and Augmented Reality Technology into Biology Learning during COVID-19" Electronics 12, no. 1: 222. https://doi.org/10.3390/electronics12010222

APA Style

Chuang, C.-H., Lo, J.-H., & Wu, Y.-K. (2023). Integrating Chatbot and Augmented Reality Technology into Biology Learning during COVID-19. Electronics, 12(1), 222. https://doi.org/10.3390/electronics12010222

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