AI Generative and Creativity
This paper employs machine learning in the AI system building processes, designs experiments for testing their effectiveness, employs psychological surveys to evaluate the well-being of subjects, and utilizes learning analytics for claims verification, to study AI-centric solutions for the problems of college students.AI technology can help improve a college student’s academic performance in novel ways. Students face a plethora of sustained challenges including academic difficulties, managing theirtime, mental health problems, financial issues, and even career indecisiveness.Many students experience crippling anxiety and lack of direction in their careers, leading to compounded stress which is supported by fellow students. Recognizing and addressing these problems is not simply a theoretical exercise, but rather requires AI personalized solutions aimed at assisting these students. The paper investigates the potential of a multi-disciplinary approach that integrates AI, machine learning, natural language processing, reinforcement learning, psychological surveys, and learning analytics to support students struggling with academic, mental health, financial, and career issues.Specific Focus: ‘The findings indicate AI’s strong potential in addressing significant obstacles encountered by university students.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-14
- DOI
- https://doi.org/10.5281/zenodo.15650053
- Primary Topic
- Forensic Anthropology and Bioarchaeology Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00