By Grace C. Liu, NYLC YAC Member
In the realm of artificial intelligence (AI), service-learning, and the IPARD framework, the landscape is evolving at an unprecedented pace. From individualized assessments to AI-driven online shopping, facial recognition, and autonomous vehicles, AI has fundamentally reshaped how we approach education, daily commuting, and professional endeavors. The recent introduction of ChatGPT in November 2022, a formidable AI chatbot, has spurred discussions about integrating AI in all areas, including service-learning.
Let’s explore how AI can be integrated into the service-learning experience.
While ChatGPT has sparked controversy about its role in education, its capabilities prompt reflection on the enduring importance of independent, personal learning through service. In navigating the evolving landscape, it becomes clear that AI can serve as a powerful educational aid. With proper guidance, AI has the potential to enhance critical thinking, unlock creativity, offer personalized tutoring, and prepare students for collaboration with digital technologies. AI can create opportunities to inspire and support servant-leaders (to learn more about servant leadership, head to NYLC’s Resource Library and search “servant leader”) by generating personalized strategies and enhancing outreach, but should be approached as a tool rather than a replacement for human intellect and effort.
In this connection, in 2021, I launched a service-learning project, Research to Empower (ReTE), a student-run 501c3 non-profit. ReTE serves as a cost-free education initiative, providing how-to-do research masterclasses and online resources to empower young students in a fun and engaging way. My team has been discussing the possibility and feasibility of integrating AI into the IPARD (Investigation, Planning/Preparation, Action, Reflection, and Demonstration) service-learning process to enhance the overall learning experience.
AI in the Service-Learning IPARD Process
In the realm of investigation (I), an AI-powered application could offer personalized guidance, tailoring research materials for a more individualized learning journey. In terms of planning and preparation (P), AI-guided exercises could provide instant feedback, enhancing the learning-by-doing experience. Action (A) involves encouraging learners to leverage AI tools for research purposes, such as literature reviews and data analysis. Reflection (R) could be facilitated by AI-driven chatbots, fostering a reflective learning environment. Finally, demonstration (D) might incorporate AI-generated visualizations and speech recognition for improved communication skills.
It should be recognized that integration of AI into the IPARD service-learning process requires careful alignment with learning objectives, inclusivity, and an enhancement of the educational experience for all. Guiding both educators and students on the effective use of AI tools is crucial for successful integration. Balancing the benefits of AI with a commitment to preserving and cultivating human curiosity and community work is likely a key to navigating the dynamic intersection of technology and education.
One Response
I love this concept, but the details are a little vague. It would be helpful to have examples of how AI really enhances this process apart from what a Google search might do.