Multimodal large language models are beginning to transform science education by combining text, visuals, audio, and other data to enrich teaching and learning. From analyzing classroom interactions ...

Abstract: Multi-modal learning has emerged as a crucial research direction, as integrating textual and visual information can substantially enhance performance in tasks such as classification, ...

Multimodal AI tools like Google’s NotebookLM are transforming how people research, organize, and present ideas by combining text, visuals, audio, and video in one workflow. They help users absorb ...