Promoting students' learning achievement and self-efficacy: A mobile chatbot approach for nursing training

Ching Yi Chang, Gwo Jen Hwang, Meei Ling Gau

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


The aims of nursing training include not only mastering skills but also fostering the competence to make decisions for problem solving. In prenatal education, cultivating nurses' knowledge and competence of vaccine administration is a crucial issue for protecting pregnant women and newborns from infection. Therefore, obstetric vaccination knowledge has become a basic and essential training program for nursing students. However, most of these training programs are given via the lecture-based teaching approach with skills practice, providing students with few opportunities to think deeply about the relevant issues owing to the lack of interaction and context. This could have a negative impact on their learning effectiveness and clinical judgment. To address this problem, a mobile chatbot-based learning approach is proposed in this study to enable students to learn and think deeply in the contexts of handling obstetric vaccine cases via interacting with the chatbot. In order to verify the effectiveness of the proposed approach, an experiment was implemented. Two classes of 36 students from a university in northern Taiwan were recruited as participants. One class was the experimental group learning with the proposed approach, while the other class was the control group learning with the conventional approach (ie, giving lectures to explain the instructional content and training cases). The results indicate that applying a mobile chatbot for learning can enhance nursing students' learning achievement and self-efficacy. In addition, based on the analysis of the interview results, students generally believed that learning through the mobile chatbot was able to promote their self-efficacy as well as their learning engagement and performance. Practitioner notes What is already known about this topic Issues relevant to AI technology in education have been extensively discussed and explored around the world. Among the various AI systems, the potential of chatbots has been highlighted by researchers owing to the user-friendly interface developed using the natural language processing (NLP) technology. Few studies using AI chatbots in professional training have been conducted. What this paper adds In this study, a mobile chatbot was used in a nursing training program to enhance students' learning achievement and self-efficacy for handling vaccine cases. The mobile chatbot significantly improved the students' learning achievement and self-efficacy in comparison with the conventional learning approach in the vaccine training program. From the interview results, it was found that the students generally believed that the mobile chatbot was able to promote their self-efficacy as well as learning engagement and performances in the vaccine training program. Implications for practice and/or policy Mobile chatbots have great potential for professional training owing to their convenient and user-friendly features. It would be worth applying mobile chatbots as well as other NLP-based applications to other professional training programs in the future.

Original languageEnglish
JournalBritish Journal of Educational Technology
Publication statusAccepted/In press - 2021


  • chatbot
  • COVID-19 pandemic
  • mobile learning
  • nursing education
  • professional training
  • vaccine administration

ASJC Scopus subject areas

  • Education


Dive into the research topics of 'Promoting students' learning achievement and self-efficacy: A mobile chatbot approach for nursing training'. Together they form a unique fingerprint.

Cite this