Collaborative Design of AI-Enhanced Learning Activities
Project Overview
The document explores the integration of generative AI in education, highlighting the importance of AI literacy among educators to effectively incorporate these technologies into their teaching practices. It presents a formative intervention aimed at both pre-service and in-service teachers, designed to enhance their understanding and creative application of AI within educational contexts. This intervention fosters collaboration and learner engagement, while also emphasizing the development of critical skills necessary for the 21st century. Furthermore, it addresses ethical considerations surrounding the use of AI in educational settings, ensuring that teachers are equipped to navigate potential challenges and implications of AI technologies. The findings suggest that such interventions can significantly improve teachers' confidence and capability in utilizing AI tools, ultimately enriching the learning experience for students and preparing them for a future increasingly influenced by artificial intelligence.
Key Applications
Formative intervention for AI-enhanced learning activities
Context: Professional development for pre-service teachers, in-service teachers, and EdTech specialists
Implementation: Workshop at Maison de l'Intelligence Artificielle, engaging participants in hands-on learning and collaborative design activities
Outcomes: Enhanced understanding of AI, improved AI literacy, development of creative pedagogical approaches, and personalized learning experiences
Challenges: Need for critical awareness of AI implications, potential resistance to adopting AI technologies
Implementation Barriers
Ethical and Equity Challenges
AI presents significant ethical challenges, including the risk of promoting citizen passivity and alienation as AI automates traditionally human-judged activities.
Proposed Solutions: Educating stakeholders on ethical frameworks and promoting critical engagement with AI technologies.
Project Team
Margarida Romero
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Margarida Romero
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai