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Jenni
55 posts
- A fresh study surveyed 85 engineering students on how AI is transforming their learning. The results reveal both promising benefits and significant concerns that educators need to address. 1/7
- Researchers surveyed 150 academics across disciplines using the Theory of Reasoned Action. Key finding: positive attitudes toward AI tools strongly predict adoption intentions (β = 0.472, p<0.001). If you believe AI helps, you're likely to use it. 💡 1/6
- Researchers analyzed 95 studies (2015-2024) and found a striking imbalance: 65% focused on AI applications in teaching, only 35% on teacher training. We're obsessing over the tech but ignoring the humans who need to use it effectively. 1/5
- A thread on why traditional regulation fails for AI and what we need instead... 1/7
- While Silicon Valley celebrates how ChatGPT and AI could add $15.7 trillion to global GDP by 2030, the AI revolution isn't reaching everyone equally. For developing countries, it might become the next great divider. Here's what's really happening... 1/6
- GenAI (like ChatGPT, Copilot, CodeWhisperer) is already changing how we build software. But we’re still figuring out what it’s ACTUALLY good for vs. where it falls short. 1/5
- Replying to @jenniSo far, GenAI gets the most hype in coding + testing (think code gen, debugging, QA). But there are big gaps in areas like requirements engineering, design, project mgmt, and education. Lots left to explore. 2/5
- Replying to @jenniThe model explained 61.7% of adoption intentions - impressive for social science! This suggests academics' AI tool adoption is highly predictable based on their attitudes and what their colleagues think, regardless of perceived hurdles. 5/6
- Replying to @jenniSocial influence is HUGE in academia. Subjective norms - what peers think - powerfully shape both attitudes (β = 0.399) and intentions to adopt (β = 0.588). Academic culture is surprisingly peer-driven when it comes to new tech. 🥸 2/6
