Effectiveness of chatbots in improving learning experience in an online course

This study analyzes the effectiveness of a chatbot in enhancing online learning, addressing the lack of support in traditional online courses. Two questionnaires were administered to participants, providing qualitative data on various aspects of the learning experience. The first questionnaire measured satisfaction, engagement, self-regulation and usefulness in three different groups of participants. The second questionnaire included open-ended questions and Likert scale items, gathering qualitative feedback and perceptions specifically from the group that used the chatbot. Additionally, this study incorporates quantitative analysis to evaluate the chatbot's impact on learning outcomes and student engagement. We used ANOVA to test whether there is a significant difference in learning outcomes among the three experimental groups. To determine which groups have significantly different means, we performed the Tukey post hoc test. Analysis of the data collected aims to measure the impact of chatbot integration on learner satisfaction, engagement, self-regulation, learning outcomes, usefulness and usability. The results contribute to the understanding of chatbots as support tools in e-learning environments, and indicate that the integration of chatbots within e-learning platforms aims to improve the learning experience and foster learner success.