Integrating Generative AI Across Disciplines

The recent developments in the research area highlight a significant shift towards integrating generative AI and large language models (LLMs) into various domains, including education, software engineering, and creative arts. A common theme across these studies is the exploration of how these technologies can enhance learning, productivity, and creativity, while also addressing the challenges and ethical considerations they bring. In education, there's a growing emphasis on leveraging AI for personalized learning experiences and automating labor-intensive tasks, such as grading and feedback. Software engineering research is increasingly focusing on the implications of AI tools for coding practices and the development of more adaptive and user-centric applications. In the creative arts, the integration of AI tools into curricula is being explored to prepare students for an AI-augmented artistic landscape. These developments underscore the transformative potential of AI technologies across different fields, alongside the need for careful consideration of their impact on skills development, ethical use, and equitable access.

Noteworthy Papers

  • Learning-by-teaching with ChatGPT: Demonstrates ChatGPT's effectiveness in improving programming education through natural dialogue, though it notes limitations in error-correction skills.
  • AI-Enhanced Sensemaking: Explores the design of a generative AI assistant for genetic professionals, highlighting the potential of AI in supporting complex knowledge work.
  • Demystifying the Potential of ChatGPT-4 Vision for Construction Progress Monitoring: Investigates the application of GPT-4 Vision in construction, showcasing its capabilities and limitations in scene analysis.
  • From Creation to Curriculum: Examines the integration of AI tools like Stable Diffusion into arts education, advocating for a recalibration of pedagogies to embrace AI's creative capabilities.
  • Assessing UML Models by ChatGPT: Evaluates ChatGPT's effectiveness in grading UML models, suggesting its potential to automate educational assessments.

Sources

Analyzing Computing Undergraduate Majors from Job Market Perspective

Learning-by-teaching with ChatGPT: The effect of teachable ChatGPT agent on programming education

AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionals

Insights from the Frontline: GenAI Utilization Among Software Engineering Students

User Modeling in Model-Driven Engineering: A Systematic Literature Review

Demystifying the Potential of ChatGPT-4 Vision for Construction Progress Monitoring

Survey Insights on M365 Copilot Adoption

The Evolving Usage of GenAI by Computing Students

From Creation to Curriculum: Examining the role of generative AI in Arts Universities

Assessing UML Models by ChatGPT: Implications for Education

Is ChatGPT Massively Used by Students Nowadays? A Survey on the Use of Large Language Models such as ChatGPT in Educational Settings

GenPod: Constructive News Framing in AI-Generated Podcasts More Effectively Reduces Negative Emotions Than Non-Constructive Framing

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