MOSAIC-F: A Framework for Enhancing Students' Oral Presentation Skills through Personalized Feedback
Project Overview
The document discusses the application of generative AI in education through the introduction of the MOSAIC-F framework, which integrates Multimodal Learning Analytics and collaborative assessments to enhance students' oral presentation skills. This innovative framework employs a combination of peer and professor assessments alongside multimodal data collection to generate personalized, AI-driven feedback. By amalgamating human evaluations with rich data inputs, MOSAIC-F aims to provide comprehensive and actionable insights that improve students' learning experiences and engagement. The findings suggest that this approach not only fosters individual skill development but also promotes collaborative learning environments, ultimately leading to better educational outcomes. Through its emphasis on personalized feedback and data-driven assessment, MOSAIC-F highlights the transformative potential of generative AI in shaping effective educational practices.
Key Applications
MOSAIC-F Framework
Context: Improving oral presentation skills of final-year engineering students at Universidad Autónoma de Madrid.
Implementation: A case study involving peer and professor assessments, multimodal data collection from various sensors, and AI-generated personalized feedback.
Outcomes: Enhanced oral presentation skills through detailed feedback, improved self-reflection, and actionable insights for future presentations.
Challenges: Subjectivity in evaluations, potential inconsistencies in feedback, and the challenge of integrating automated feedback with personal assessments.
Implementation Barriers
Technical Barrier
Integration of AI-generated feedback with human assessments can lead to inconsistencies or inaccuracies.
Proposed Solutions: Implement human oversight in the feedback process to ensure pedagogical validity and trustworthiness.
Perceptual Barrier
Students often perceive AI-generated feedback as less trustworthy and contextually sensitive compared to human feedback. Involving students and educators in the design of AI-based systems can enhance usability and acceptance.
Proposed Solutions: Involve students and educators in the design of AI-based systems to enhance usability and acceptance.
Project Team
Alvaro Becerra
Researcher
Daniel Andres
Researcher
Pablo Villegas
Researcher
Roberto Daza
Researcher
Ruth Cobos
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Alvaro Becerra, Daniel Andres, Pablo Villegas, Roberto Daza, Ruth Cobos
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