Research Internship at CKL â Global monitoring of use of Generative AI in higher education and science
Research Internship at CKL â Global monitoring of use of Generative AI in higher education and science
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Job Description
Position: Research Internship at CKL
Project: Global monitoring of use of Generative AI in higher education and science
Scientific supervisor:Prof. Dr. Isak Frumin
Introduction to CKL:
The Constructor Knowledge Labs (CKL) intends to set the worldwide standard for research into Computer Science AI and Machine Learning Robotics and Neuroscience operating in strong contact with industry and:
- Leveraging CS technologies to address challenges in various fields delivering innovative solutions tailored to industry needs.
- Providing research opportunities mentorship and involvement in collaborative projects to young researchers and PhDs.
- Encouraging interdisciplinary research by fostering collaboration between diverse fields emphasizing the integration of theoretical research with practical application
Project: Global monitoring of use of Generative AI in higher education and science
With this project CKI aims to create a global network of researchers to exchange ideas share empirical findings and advance understanding of the development and application of AI in higher education and the sciences. The project is focused on conducting comparative studies to examine institutional and national responses to AI with a focus on identifying successful applications and their scalability across diverse educational and scientific contexts. Our team of researchers and partners employs advanced quantitative techniques such as web scraping and text analysis alongside qualitative methods. CKI plans to use these findings to produce a monitoring system comparative books and research articles.
Main questions:
- How is AI reshaping higher education and science
- How is AI changing the nature of scientific knowledge and its production
- How are changes in EdTech approaches and industries impacting education systems
Lines of inquiry:
- Comparative studies of higher education and research systems organizations communities and policies in the context of AI related changes (STS political sciences sociology).
- Examine the intersection of AI technology with human processes in educational and research institutions focusing on changes in knowledge production and skill integration. Analyze how AI-driven capabilities transform research teams industries and societal norms (psychology sociology management computer science).
- The evolving relationship between industry higher education and research institutions including trends in new AI-driven products (economics political science management)
- The changing landscape of AI-related research in education and science using bibliometric analysis with natural language processing (NLP) and large language models (LLMs) (scientometrics computational social science).
Projects:
Project 1: How Universities Navigate Generative AI
- Focus: Comparative study of institutional responses to generative AI in different countries
- Methods: Document analysis and quantitative analysis of university websites (text mining).
Project 2: Web Scraping and Text Analysis of University Websites
- Focus: Large-scale analysis of university websites for AI-related content.
- Methods: Web scraping NLP-based classification topic modeling and keyword extraction.
Project 3: Mapping Generative AI Research in Higher Education
- Focus: Bibliometric analysis of publications (indexed in Scopus OpenAlex).
- Methods: Systematic literature review bibliometric analysis and NLP and LLM integration for abstract analysis.
Project 4: Research Teams and AI Integration
- Focus: The integration of genAI specialists into research teams and the impact on outputs.
- Methods: Web scraping analysis of gathered dataset (quantitative research) and qualitative studies.
Requirements:
- Web scrapping knowledge is a plus
- Large text corpus analysis
Required Experience:
Exec
Employment Type
Intern
