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We propose an AI-augmented intelligent educational assistance framework that automatically generates course-specific intelligent assistants based on provided documents (e.g., syllabus) regardless of discipline or academic level. It will serve as a message-enabled helper capable of answering course-specific questions concerning scope and logistics (e.g., syllabus, deadlines, policies). The students can converse with the assistant in natural language via web platforms as well as messaging applications. The framework is conceived to address the listed issues and to unlock the immense potential of conversational AI approaches for education and enhancing the learning experience. Core benefits and advantages of the framework include the availability of assistance regardless of time, more TA and instructor time for advanced and customized advising, answers to time consuming and repetitive questions, reduced human error due to miscommunication for course logistics, and accommodations for personal barriers, cultural, and disability related issues (e.g., language barrier). A case study is conducted to quantitatively measure the proposed approach’s efficacy and reliability within the context of the cited benefits.
In the context of complex trajectories, such as changes in degree programs or disciplines, students often face additional challenges in understanding the requirements, logistics, and subject policies associated with their new academic paths. By providing tailored information and support through an AI-augmented intelligent educational assistance framework, we aim to not only improve students' engagement and learning experiences but also help them navigate these complex trajectories more effectively. This will enable them to make informed decisions about their academic paths, including the choice of subjects within a degree program or transitioning from one program to another.

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