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Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Related Experiment Videos

Faculty's Digital Accessibility Assistant: Does Generative AI Write Accurate, Meaningful, and Useful Alternative Text

Jeffrey R Jones1, Justi Echeles

  • 1Author Affiliations: Teaching and Learning Center, Oregon Health and Science University, Portland, Oregon (Prof Jones and Ms Echeles).

Nurse Educator
|May 25, 2026
PubMed
Summary

Generative AI can create effective alternative text (alt text) for educational images, significantly reducing faculty workload. However, expert review is still essential for accuracy and pedagogical relevance.

Keywords:
ChatGPTinstructional designnursing educationonline learning

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Area of Science:

  • Educational Technology
  • Digital Accessibility
  • Artificial Intelligence in Education

Background:

  • Alternative text (alt text) is crucial for image accessibility.
  • Faculty often lack the time or training to create effective alt text.
  • Generative artificial intelligence (AI) presents a potential solution for alt text generation.

Purpose of the Study:

  • To assess the quality of AI-generated alt text for nursing course images.
  • To gather nursing faculty perspectives on the utility of AI-generated alt text.

Main Methods:

  • Ten nursing faculty members participated in the study.
  • Evaluated 43 AI-generated alt text descriptions using Likert scales (accuracy, meaningfulness, usefulness).
  • Provided qualitative feedback on the generated alt text.

Main Results:

  • High ratings for accuracy (M=4.44), meaningfulness (M=4.30), and usefulness (M=4.05).
  • Over 75% positive ratings across all metrics.
  • Key critique themes included lack of pedagogical context, subtle semantic errors, and excessive verbosity.

Conclusions:

  • Generative AI produces high-quality alt text drafts, easing faculty burden.
  • Subject-matter expert review is vital for error correction and pedagogical refinement.
  • AI-generated alt text can enhance digital accessibility in education with expert oversight.