Sáiz-Manzanares María Consuelo, Marticorena-Sánchez Raúl, Martín-Antón Luis Jorge, González Díez Irene, Almeida Leandro
Universidad de Burgos. Facultad de Ciencias de la Salud. Departamento de Ciencias de la Salud, Burgos, Spain.
Grupo de Investigación: DATAHES, Unidad de Investigación Consolidada de la Junta de Castilla y León Nº 348: EHPAIT, Spain.
Heliyon. 2023 Jan 13;9(1):e12843. doi: 10.1016/j.heliyon.2023.e12843. eCollection 2023 Jan.
Chatbots are a promising resource for giving students feedback and helping them deploy metacognitive strategies in their learning processes. In this study we worked with a sample of 57 university students, 42 undergraduate and 15 Master's degree students in Health Sciences. A mixed research methodology was applied. The quantitative study analysed the influence of the variables educational level (undergraduate vs. master's degree) and level of prior knowledge on the frequency of chatbot use (low vs. average), learning outcomes, and satisfaction with the chatbot's usefulness. In addition, we examined whether the frequency of chatbot use depended on students' metacognitive strategies. The qualitative study analysed the students' suggestions for improvement to the chatbot and the type of questions it used. The results indicated that the level of degree being studied influenced the frequency of chatbot use and learning outcomes, with Master's students exhibiting higher levels of both, but levels of prior knowledge only influenced learning outcomes. Significant differences were also found in students' perceived satisfaction with the use of the chatbot, with Master's students scoring higher, but not with respect to the level of prior knowledge. No conclusive results were found regarding frequency of chatbot use and the levels of students' metacognitive strategies. Further studies are needed to guide this research based on the students' suggestions for improvement.
聊天机器人是一种很有前景的资源,可用于为学生提供反馈,并帮助他们在学习过程中运用元认知策略。在本研究中,我们对57名大学生进行了抽样调查,其中42名是健康科学专业的本科生,15名是硕士研究生。我们采用了混合研究方法。定量研究分析了教育水平(本科与硕士)和先验知识水平这两个变量对聊天机器人使用频率(低与平均)、学习成果以及对聊天机器人有用性的满意度的影响。此外,我们还研究了聊天机器人的使用频率是否取决于学生的元认知策略。定性研究分析了学生对聊天机器人改进的建议以及它所使用的问题类型。结果表明,所攻读的学位水平影响了聊天机器人的使用频率和学习成果,硕士研究生在这两方面的水平都更高,但先验知识水平仅影响学习成果。在学生对聊天机器人使用的感知满意度方面也发现了显著差异,硕士研究生得分更高,但在先验知识水平方面没有差异。关于聊天机器人的使用频率与学生元认知策略水平之间,未得出确凿结果。需要进一步的研究,以根据学生的改进建议来指导这项研究。