AI-powered education: Enhancing learning, collaboration, and research with Humata AI
Generative A.I. in Education Generative A.I. in Education
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 Published On Sep 24, 2024

Dr. Mahipal Jadeja    / @drmahipal     / mahipal-jadeja-64211b15  
Assistant Professor
Malaviya National Institute of Technology Jaipur, India

Abstract:
In this session, we will explore how Humata AI can empower educators, students, and researchers by transforming their interaction with educational content. We will focus on several key use cases demonstrating how Humata AI assists in everything from student revision to curriculum development. For example, Humata AI allows students to query complex data tables and documents, helping them extract concise answers that streamline their revision process, thus making learning more targeted and efficient. Additionally, the interactive Q&A feature enriches classroom dynamics by enabling educators to respond instantly to student queries, creating more engaging learning experiences.

Participants will also discover how Humata AI enhances research by facilitating the comparison of multiple research papers. The tool’s capability to provide summaries and diverse perspectives from multiple documents simultaneously helps streamline the literature review process. Furthermore, educators can leverage its multi-format support, including PDFs, DOCs, PPTs, and web links, to curate richer, more varied course materials. We will also highlight how its sharing options foster teamwork and collaborative learning, making group projects more interactive and productive.

By the conclusion of this session, participants will have a comprehensive understanding of how Humata AI supports deeper learning, fosters collaboration, and simplifies complex academic tasks. This session is ideal for educators aiming to enhance their teaching strategies, students seeking to optimize their studies, and researchers looking for efficient ways to manage literature reviews.

Bio:
Dr. Mahipal Jadeja is an assistant professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology (MNIT) Jaipur and a joint faculty member in the Department of Artificial Intelligence and Data Engineering. He received his Ph.D. from DA-IICT in Theoretical Computer Science, and his research spans Artificial Intelligence, Machine Learning on Graphs, and Social Network Analysis. Dr. Jadeja has published extensively in these fields, presented at prestigious international conferences, and has guided three Ph.D. students. He also runs the YouTube channel "CS Simplified" and has developed a highly-rated MOOC on Python Programming.

Co-hosts:
Dr. Richa Mishra, Nirma University, India   / dr-richa-mishra-1b19b15  
Dr. Rea Lavi, Massachusetts Institute of Technology, MA, USA   / realavi  

Video clipped from the September 23, 2024 online session of the Generative A.I. in Education.

For discussions and updates on future sessions, join our private group on LinkedIn: linkedin.com/groups/14378164

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