Summary of Beyond Text-to-text: An Overview Of Multimodal and Generative Artificial Intelligence For Education Using Topic Modeling, by Ville Heilala et al.
Beyond Text-to-Text: An Overview of Multimodal and Generative Artificial Intelligence for Education Using Topic Modeling
by Ville Heilala, Roberto Araya, Raija Hämäläinen
First submitted to arxiv on: 24 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study maps the research landscape of multimodal and generative AI in education using topic modeling. The analysis yielded 38 interpretable topics organized into 14 thematic areas, revealing a focus on text-to-text models in educational contexts, with other modalities underexplored. The findings suggest a research gap, highlighting the need for more balanced attention across different AI modalities and educational levels. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at how artificial intelligence is being used in education. It finds that most research focuses on language models like ChatGPT, but there’s not much exploration of other ways AI can be used, like turning text into speech or images. The researchers think this is a problem because it means we’re missing out on the potential for AI to help with learning in more ways. |
Keywords
» Artificial intelligence » Attention
