Effects of GAI-supported scenario inquiry-based learning in multiplayer VR on pre-service teachers’ instructional design skills

The research introduces a novel Generative AI (GAI)-supported scenario inquiry-based learning approach within multiplayer virtual reality (MVR), termed GAI-SIBLMVR. This method aims to enhance pre-service teachers' instructional design skills, particularly for creating innovative online courses in higher education. The approach addresses limitations of text-only GAI interaction by integrating it into a collaborative virtual environment, fostering critical analysis and innovative design across inquiry-based learning stages.

Why it matters

This development addresses a critical need for enhanced instructional design capabilities among future educators, particularly for evolving online learning environments. Leveraging GAI within collaborative virtual reality platforms represents a significant technological and pedagogical advancement that could redefine training methodologies for complex skill sets.

Key insights

• Instructional design skills are critical for pre-service teachers to develop effective online courses in higher education.
• Generative AI (GAI) is increasingly used to cultivate these skills within inquiry-based learning frameworks.
• Current GAI interactions for instructional design often rely solely on text, limiting effective engagement.
• The absence of multiplayer-GAI interaction scenarios hinders comprehensive instructional design skill development.
• A new GAI-supported scenario inquiry-based learning in multiplayer virtual reality (GAI-SIBLMVR) approach is proposed.
• GAI-SIBLMVR integrates GAI into a multiplayer virtual reality environment to encourage critical analysis and innovative design in online course development.

Source

Educational Technology Research and Development — https://link.springer.com/article/10.1007/s11423-026-10699-8