AI Tools

Course: 2024.2 - PhD - AI Tools in Research

Course: FIAP - Artificial Intelligence (AI) Tools in Research

Workload: 4 sessions of 3 hours

Level: Doctorate (PhD)

Professors: Luiz Pinheiro and Kristian Capeline

I - OBJECTIVES:

Develop a critical and reflective understanding of the impact of Artificial Intelligence (AI) on Education (Teaching, Research, Outreach).
Share Generative AI applications and their use in research.
Foster the adoption and sharing of AI experiences in research.

II - COURSE DESCRIPTION

This course explores the impact, applications and implications of Artificial Intelligence (AI) in the context of scientific research within specific fields. It covers the main AI tools that can be used at different stages of research, from literature review, data collection and analysis to the automation of research tasks and the generation of new knowledge. The course combines theoretical concepts with practical activities, giving students hands-on contact with AI technologies, applying them to their own projects and discussing their experiences in a collaborative environment. In addition, the course encourages reflection on the ethical implications and challenges of using AI in academia, preparing students to incorporate these technologies critically and consciously as global researchers.

III - METHODOLOGY

The course adopts a theoretical-applied approach, combining lectures, application cases, hands-on workshops and experimentation activities. Throughout the sessions, students are encouraged to use AI tools in their own research areas, documenting the processes and results. Experience sharing among participants is promoted to stimulate collaborative and interdisciplinary learning.

IV - DETAILED SCHEDULE

CLASS/DATE: 001 - Aug 22, 2024 - Thursday

TOPIC: Open Class - AI in Education - Overview

Supplementary readings:

1) Pinheiro, L., & Capeline, C. (2024). Artificial Intelligence (AI) in Education - Overview. Available at: https://doi.org/10.5281/zenodo.13368015

2) Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. Available at: https://www.sciencedirect.com/science/article/pii/S0268401223000233

CLASS/DATE: 002 - Oct 3, 2024 - Thursday

TOPIC: AI in Research

Supplementary readings:

1) Pinheiro, L., & Capeline, C. (2024). AI Tools in Research: Elicit, ChatPDF, Litmaps, PaperPal, TacTiq, et al. Available at: Link to download the material on Canva.

Tools and Links:

1) Google Chrome extension to check journal quality - Rapid Journal Quality Check

Deliverable: Practical Assignment (Oct 3)

Objective: Explore and apply generative AI tools to support scientific research.

Instructions:

Choose a research topic related to your work.
Use a generative AI tool (such as ChatGPT, Gemini, or another of your choice).
Generate a summary or literature review on the chosen topic.
Create a draft research proposal, including objectives, methodology and potential impacts.
Document the process, highlighting how the AI tool helped build the content.

Deliverable: Send by email to kristian.capeline@gmail.com by Oct 3.

CLASS/DATE: 003 - Oct 24, 2024 - Thursday

TOPIC: AI Workshop and Experimentation

Supplementary readings:

Will be made available during/after class.

Deliverable: Conducting AI experiments in research.

CLASS/DATE: 004 - Dec 12, 2024 - Thursday

TOPIC: Sharing AI Experiences

Supplementary readings:

Will be made available during/after class.

Deliverable: Sharing of the AI experiences developed.