AI-Generated and Student-Created Comics as a Tool for Enhancing Environmental Education Cover Image

AI-Generated and Student-Created Comics as a Tool for Enhancing Environmental Education
AI-Generated and Student-Created Comics as a Tool for Enhancing Environmental Education

Author(s): Asya Asenova
Subject(s): Social Sciences, Economy, Education, Geography, Regional studies, Energy and Environmental Studies, Environmental Geography, Higher Education
Published by: Нов български университет
Keywords: AI-generated comics; Student-created comics; Environmental education; Teacher professional development; Technology integration; Student engagement

Summary/Abstract: The integration of artificial intelligence (AI) in education provides opportunities for innovative instructional strategies that combine technology, creativity, and teacher facilitation. This study investigates the effectiveness of AI-generated and student-created comics in enhancing environmental learning among students in grades 5–10, while also examining implications for teacher practice in technology integration. A quasi-experimental, mixed-methods design was implemented across 15 schools in Bulgaria. Three instructional approaches were compared: traditional text-based instruction, AI-generated comics, and student-created comics. Data were collected through pre- and post-tests on environmental knowledge, motivation questionnaires, cognitive load assessments, and thematic analyses of student-created comics. Results indicate that both AI-generated and student-created comics significantly improve students’ conceptual understanding, engagement, and environmental awareness. Student-created comics additionally foster creativity, collaboration, and personal connection to ecological issues. Findings highlight the role of teachers in scaffolding technology-enhanced learning and suggest that combining AI resources with student creativity represents a promising model for integrating digital tools into science instruction.

  • Issue Year: 2025
  • Issue No: 12
  • Page Range: 109-126
  • Page Count: 17
  • Language: English
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