Leveraging Generative AI for Environmental Education: Effects on Students’ Environmental Knowledge and Attitudes with Moderating Influence of Ecological Susceptibility
Clicks: 1
ID: 313337
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
0.0
/100
1 views
0 readers
AI Quality Assessment
Not analyzed
Readership in this journal
Ranked #13 of 14 articles by views in Digital & Social Review
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
This study looked at how using Generative AI, in environmental education affects university students’ understanding of nature and their feelings toward protecting it. We asked 200 students aged 18 to 25 about their knowledge, attitudes, and how much they care about ecological issues. The findings show that using these AI tools helps students learn more about the environment and feel more positive about conserving it. Students who already care a lot about nature benefit even more, showing bigger improvements in both knowledge and attitude. We used survey and SPPS to analyze the results, finding strong connections between tool use and learning outcomes. The results suggest that these tools could be a great way to teach about the environment, especially if tailored to students’ interests. Future research could include more groups and check if these changes last overtime.
| Reference Key |
imported_1778213164_69fd612cd4a0b
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Hunain Ellahi |
| Journal | Digital & Social Review |
| Year | 2024 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.