Revolutionizing Student Engagement and Enrollment through Personalized, AI-Driven Dialog Systems in Higher Education

In this era of digital transformation, approaches for enhancing student engagement and enrollment are critical for higher education institutions. This study introduces AcademiBot, a novel AI-driven college dialog system designed to provide personalized assistance to students and serve as a strategic marketing tool for higher institutions. AcademiBot leverages advanced Large Language Models (LLMs) and customized datasets to revolutionize colleges-students interactions by offering accurate, human-like responses to students' inquiries. The system employs two interfaces: AcademiBot-Web, a web-based GUI, and AcademiBot-VR, an immersive virtual reality environment. This dual-interface approach caters to address various user preferences, ensuring a versatile and captivating user experience. The evaluation results demonstrate AcademiBot's effectiveness in providing timely and accurate information, significantly improving user interaction in a digital context.