Collaborative Design of AI-Enhanced Learning Activities: Addressing AI Literacy in Education
The paper "Collaborative Design of Artificial Intelligence-Enhanced Learning Activities" by Margarida Romero examines the integration of AI into educational practices, focusing on developing AI literacy among educators. The paper introduces a formative intervention involving preservice teachers, in-service teachers, and educational technology (EdTech) specialists, highlighting the intersection of AI and creative pedagogy.
The research framework was developed in collaboration with Terra Numerica and Maison de l'Intelligence Artificielle (MIA) and carried out in two phases. The aim is to empower educators by enhancing their understanding and use of AI in educational contexts. The paper seeks to bridge the gap between AI technology and instructional practice by facilitating the collaborative design of AI-enhanced learning activities that promote learner engagement and personalized educational experiences.
Romero's work acknowledges the dichotomy in the role of AI in education. While AI presents significant opportunities for enhancing creative pedagogies and fostering adaptability, critical thinking, and problem-solving skills, it also introduces challenges related to ethics and equity. Concerns include the risk of diminishing human agency and judgment as AI automates and mystifies activities traditionally involving human involvement. Hence, cultivating a critical awareness of AI's implications alongside its adoption is imperative.
The paper contributes to the discourse on AI-enhanced learning design by proposing a practical and structured approach, illustrated through workshops that employ the #PPAI6 model framework. This model delineates six levels of creative engagement with AI, from passive consumption of AI-generated content to expansive learning experiences where learners co-create knowledge with AI. Such a framework advocates for harnessing AI's potential beyond mere process automation, fostering a synergistic partnership between human creativity and AI's computational agility.
The workshop outcomes suggest that the proposed co-design template aids in reducing development time for AI-enhanced learning activities, while also facilitating focused coordination in designing such activities. This pragmatic tool is instrumental for educators to integrate AI into their teaching practices effectively.
From a theoretical perspective, the paper supports the evolving narrative of human-AI collaboration within creative pedagogical contexts. By adopting expansive learning approaches, the potential for AI in educational paradigms can be leveraged to augment teaching and learning activities, thus enhancing learner agency and creativity.
Practically, the findings emphasize a path forward for integrating AI in education, urging stakeholders to focus on developing AI literacy. As AI systems become more accessible and prevalent, educators are encouraged to engage with AI critically and creatively to unlock its transformative potential in instructional settings.
Future explorations may further investigate the progression through levels of creative engagement with AI, as stipulated in the #PPAI6 model, and identify strategies to promote expansive learning experiences through AI integration. This approach offers promising prospects for deepening human-AI interactions and fostering innovative educational practices.