This review delves into the dynamic landscape of chatbots in higher education, tracing their evolution, rationale, and multifaceted applications. Beginning with an exploration of historical developments and their transition into education, insights from systematic reviews and case studies underscore chatbots' potential to enhance personalized and adaptive learning. The integration of chatbots in higher education is rationalized by their ability to boost user satisfaction, improve virtual student services, and provide diverse academic support. While promises abound, challenges such as privacy concerns and task complexity comprehension need addressing. The classification of chatbots, including rule-based, and machine learning-based, is dissected, offering a nuanced understanding of their functionalities. Case studies spotlight successful implementations, yet ethical considerations, adoption challenges, and potential biases loom large. Looking ahead, the review identifies research gaps and underscores the need for practical implementation strategies, privacy management, and exploration of ethical implications, providing a comprehensive guide for stakeholders navigating the transformative potential of chatbots in higher education.
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Oqaidi et al. (2024) studied this question.
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