The Faculty of Postgraduate Studies Successfully Organizes Thematic Seminar: “Applications of AI in Learning and Research”

The Faculty of Postgraduate Studies Successfully Organizes Thematic Seminar: “Applications of AI in Learning and Research”

In alignment with Lac Hong University’s mission of education, applied scientific research, technology transfer, and community service to meet societal needs, on the morning of July 20, 2024, at Room B203, Campus 1 of Lac Hong University, a thematic seminar titled “Applications of AI in Learning and Research” was held.

The seminar welcomed the presence of the University’s Board of Rectors, leaders of departments and centers, staff from the Faculty of Postgraduate Studies, and drew wide interest from lecturers, doctoral candidates, master’s students, undergraduates of LHU as well as individuals from outside the university.

In his opening remarks, Dr. Lam Thanh Hien – Rector of the university – stated:
“One of the three core missions LHU is focused on developing includes: (1) educational activities, (2) scientific research and technology transfer, and (3) community connection. Among these, community engagement helps create a dynamic learning environment, stimulates creativity, and opens up new research directions. This also contributes to solving real-world issues in the local area and the country, strengthening the bond between the university and society.”

In the context of the ongoing Fourth Industrial Revolution, Artificial Intelligence (AI) has become a vital tool across many fields, especially education and scientific research. This seminar aimed to equip lecturers, doctoral candidates, and students with in-depth knowledge and understanding of AI applications in learning and research, thereby improving the quality of education and research at Lac Hong University.

Throughout the seminar, speakers including Dr. Lam Thanh Hien (Rector), Dr. Le Phuong Truong (Head of the Testing and Quality Assurance Office), PhD candidate Nguyen Trong Vinh (Head of the Academic Affairs Office), and PhD candidate Tran Van Thanh (Lecturer, Faculty of Mechatronics – Electronics) shared about current AI platforms that support learning and research.

Part 1: Sharing Experiences Using ChatGPT for Scientific Writing, Setup, and Testing

• ChatGPT can help develop research ideas by providing background knowledge, related studies, and suggesting new research directions.
• You can ask ChatGPT to synthesize research papers, extract data from scientific articles, and even analyze similarities or contrasts among them.
• ChatGPT can filter and compile a list of references based on timeline and research direction.
• It can help structure proposals and develop content for sections such as objectives, methodology, and research significance.
• During the analysis stage, ChatGPT can assist in building hypothetical scenarios, case analysis, and provide suggestions for interpreting results.
• ChatGPT can help draft coherent and concise summaries and conclusions that accurately reflect the research’s content and value.
• If you're writing in multiple languages, ChatGPT can translate sections or summarize research in different languages.
• Always make sure to carefully review and edit AI-generated content to avoid copyright issues and ensure scientific accuracy.

Context: Provide enough background so that the AI can generate relevant and accurate responses.

• Who you are
• What you are working on
• Your goal (optional)
• Response Format: Indicate the structure or style of the answer you expect.

Point formula: [Task] + [Context] + [Response Format (if needed)]

Part 2: Some Current AI Platforms

• OpenRead: Offers a comprehensive solution for researchers and scholars.
• Research Buddy:
  • Conducts academic research across different disciplines
  • Updates topic knowledge ahead of meetings or classes
  • Generates literature reviews for papers or theses
  • Developed by AI consulting partners of Dixon Humphreys
• Ask My Book: Provides convenient access to key insights from The Minimalist Entrepreneur quickly and efficiently.
• Playbooks by Twig: A curated collection of AI resources and guides designed for customer support leaders and teams. Includes white papers, vendor evaluation matrices, Slack conversations, and AI ROI analysis tools.
• Consensus: An AI-powered search engine designed to extract answers from scientific research quickly.
• Lumina: An AI-equipped research toolkit that allows users to explore and understand scientific literature. Includes a chat interface for interacting with document collections and provides accurate, well-cited answers to queries.
  → Lumina is a valuable tool for researchers, scholars, students, and anyone exploring academic literature.
• Minerva: Developed by AcademicID, Minerva is an AI-powered virtual research assistant supporting academics, researchers, and students in knowledge discovery. Using the latest in machine learning and natural language processing, Minerva provides intelligent responses to a wide range of academic queries.
• Elicit: Helps search for relevant papers and is designed to support content creators and researchers using AI-assisted discovery.
• Tyles: Acts as a centralized research hub, saving users time and reducing reliance on multiple tools and resources.
• ResearchRabbit: Learns from your preferences to improve its recommendations. Tracks the latest papers related to your collections, visualizes networks of papers and author collaborations, and allows collaborative paper curation and search with comment features.
• Ask an AI: A convenient and efficient tool for retrieving information on any topic, useful across various domains.

Part 3: Research Aggregation with ScholarAI

• Use ScholarAI to search and summarize papers by prompting:
  “Find me papers about + [topic]…”

Applications of AI in research include:

• + Discovering relevant studies
• + Summarizing content
• + Extracting information
• Translation and editing of drafts
• Part 4: How to Write Scientific Papers Using ChatGPT

Part 5: Practical Guidance, Discussions, and Experience Sharing

The rise of Artificial Intelligence has opened up new opportunities in learning and research, from enhancing teaching processes to improving data analysis and forecasting in scientific studies. However, while AI offers many advantages, it also brings challenges such as data privacy, ethics, and accountability in data usage.