![]() ![]() Since EFM-related tasks, such as comprehending the correlation between fetal heartbeat and pressure in the womb, require professional knowledge and understanding, nursing students should be provided with sufficient learning and training in EFM prior to their training in the delivery room. Additionally, during their training in the delivery room, nursing students learn about measuring vital signs (57.5%), supportive touch in the first stage of labor (42.7%), patient transport (41.7%), securing patient privacy (38.1%), followed by interpretation of EFM results (33.1%). Regarding essential nursing techniques in maternal health nursing, education on installing EFM equipment and interpreting its results is required. Thus, healthcare providers and nursing students should be able to accurately install the device, interpret the graphs, and report abnormal patterns to the doctors. However, it is difficult to interpret the graphs, which have been found to have low specificity, compared with the level of sensitivity. ![]() As a noninvasive method to assess fetal health, EFM is widely used in the obstetrics field. It is utilized to prevent fetal hypoxia and provide interventions at an early stage by observing changes in fetal heartbeat. Įlectronic fetal monitoring (EFM) involves attaching a device to the abdominal wall of pregnant women to continuously monitor and record fetal heart sounds through graphs. Therefore, through AI technology, a chatbot can provide education to those who are unable to seek help from instructors because of problems, such as cost, manpower, and the COVID-19 pandemic. Furthermore, it facilitates immediate user feedback through conversations during the learning process, and provides customized contents based on the feedback. It also improves the effect of self-directed learning as learners experience low levels of stress while engaging in conversations with a chatbot and repeated learning. Ī chatbot also has various applications in the education field, as people can use it to learn without time and space restrictions. A chatbot-also referred to as “a talking bot”-is a type of a software prominently emerging in the information technology field, that can have verbal or written conversations with human users, and address their requests, using the question-and-answer format. ![]() This has led to a growing interest in using chatbots in the education field. Thus, strategies for improving students’ self-directed learning, and efforts for promoting interactions between instructors and students are needed. Moreover, conventional lessons have been converted into video lectures and non-face-to-face lessons. AI has been initiated in clinical practice and nursing education because of the restrictions in education caused by the coronavirus disease (COVID-19) pandemic. Moreover, such programs can be effective in enhancing nursing students’ skills in non-face-to face-situations caused by the ongoing COVID-19 pandemic.Īlong with the development of technology, such as big data, machine learning, and artificial intelligence (AI), intelligent services have been actively introduced in the field of information technology. The findings of our study highlighted the potential of artificial intelligence chatbot programs as an educational assistance tool to promote nursing college students’ interest in education and self-directed learning. The experimental group-in which the artificial intelligence chatbot program was applied-did not show statistically significant differences in knowledge (t = -0.58, p = .567), clinical reasoning competency (t = 0.75, p = .455), confidence (t = 1.13, p = .264), and feedback satisfaction (t = 1.72, p = .090), compared with the control group however, its participants’ interest in education (t = 2.38, p = .020) and self-directed learning (t = 2.72, p = .006) were significantly higher than those in the control group. Data were collected between November 3 and 16, 2021, and analyzed using independent t-tests. The participants were 61 junior students from a nursing college located in G province of South Korea. This quasi-experimental study used a nonequivalent control group non-synchronized pretest–posttest design. This study aimed to develop and examine the effect of an artificial intelligence chatbot educational program for promoting nursing skills related to electronic fetal monitoring in nursing college students during non-face-to-face classes during the COVID-19 pandemic. ![]() However, few studies have assessed the effect of using chatbots in nursing education. Education and training are needed for nursing students using artificial intelligence-based educational programs. ![]()
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