Overview
This is an invitation for researchers, faculty, and students to submit papers for the special session titled “Generative AI and Data Analytics in Education and Healthcare” (SS21) at the upcoming ComSIA 2025 conference. This session aims to delve into the transformative effects of generative AI and advanced analytics on educational and healthcare systems, highlighting the significance of these technologies in enhancing learning and patient care.
Background & Relevance
Generative AI and data analytics are rapidly evolving fields that hold immense potential in various sectors, particularly in education and healthcare. The integration of these technologies can lead to more personalized learning experiences and improved healthcare delivery. As educational institutions and healthcare providers increasingly adopt AI-driven solutions, understanding the implications and applications of these technologies becomes crucial. This special session seeks to foster discussions around innovative approaches and ethical considerations in deploying AI in these domains.
Key Details
- Conference Name: ComSIA 2025
- Special Session: Generative AI and Data Analytics in Education and Healthcare (SS21)
- Publication Indexing: SCOPUS
- Recommended Themes:
- Generative AI for adaptive learning and intelligent tutoring
- Data analytics frameworks for personalized education and health monitoring
- LLMs for academic and clinical decision support
- Federated and privacy-preserving learning in healthcare
- Multimodal behavioral and emotional analytics
- Explainable and ethical generative AI systems
- Predictive and prescriptive analytics for student and patient outcomes
- AI-driven assessments and generative feedback systems
- Personalized rehabilitation and therapy using simulation environments
- Generative models for disease progression and patient stratification
- Multi-agent generative systems for collaborative healthcare analytics
- Fairness, bias, and accountability in generative models
- Important Links:
- Publication details
- Special session details (SS21)
- Paper submission
Eligibility & Participation
This call for papers is open to researchers, practitioners, and innovators who are engaged in the fields of AI, education, and healthcare. Contributions that explore the intersection of these domains are particularly encouraged.
Submission or Application Guidelines
To submit your paper, please follow these steps:
1. Select SS21 in the CMT system during your submission.
2. Clearly mention “Generative AI and Data Analytics in Education and Healthcare” above the title of your paper.
3. After submission, share your paper ID, authors, and title with ruchi.k6508@gmail.com.
More Information
The integration of generative AI and data analytics into education and healthcare represents a significant advancement in how these sectors operate. By leveraging AI, educators can create more tailored learning experiences, while healthcare providers can enhance patient outcomes through data-driven insights. This special session aims to highlight these advancements and encourage collaborative research that addresses both the opportunities and challenges posed by these technologies.
Conclusion
Researchers and practitioners are encouraged to explore this opportunity to contribute to the dialogue on generative AI and data analytics in education and healthcare. Your insights and innovations can play a pivotal role in shaping the future of these fields. Consider submitting your work and sharing your expertise with the community.
Category: CFP & Deadlines
Tags: generative ai, data analytics, education, healthcare, ml, scopus, personalized education, predictive analytics, explainable ai, ethical ai
