Designing an AI Career Mentor for Early Career Researchers
This study describes the design and evaluation of a Generative Artificial Intelligence (GenAI) digital mentor tailored for Early Career Researchers (ECRs). Despite the proven benefits of mentorships for ECRs, access to effective mentorship remains limited due to constraints on experienced researche...
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| Format: | Article |
| Language: | English |
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CERN
2024-12-01
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| Series: | CERN IdeaSquare Journal of Experimental Innovation |
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| Online Access: | https://e-publishing.cern.ch/index.php/CIJ/article/view/1576 |
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| _version_ | 1850116084698447872 |
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| author | Linus Tan |
| author_facet | Linus Tan |
| author_sort | Linus Tan |
| collection | DOAJ |
| description |
This study describes the design and evaluation of a Generative Artificial Intelligence (GenAI) digital mentor tailored for Early Career Researchers (ECRs). Despite the proven benefits of mentorships for ECRs, access to effective mentorship remains limited due to constraints on experienced researchers’ time and their varying mentorship skills. Drawing on Career Construction Theory, research career mentorship, and Design Science methodology, this article documents the creation of a digital mentor and evaluates its assessment accuracy and guidance specificity in responding to career-related queries. The findings indicate that the digital mentor was fast, provided actionable career progression mentoring comments, and made explicit references to the mentee’s experience, skills, and university’s strategy. However, its skills assessment had weak similarity when compared to the mentee’s self-assessment, a peer assessment, and a research leader’s assessment of the mentee’s skills. Nonetheless, ECRs can consider using a digital mentor to obtain fast contextualised comments on developing their career within their university.
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| format | Article |
| id | doaj-art-cec75b763415485ca4e31353f27c74ae |
| institution | OA Journals |
| issn | 2413-9505 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | CERN |
| record_format | Article |
| series | CERN IdeaSquare Journal of Experimental Innovation |
| spelling | doaj-art-cec75b763415485ca4e31353f27c74ae2025-08-20T02:36:23ZengCERNCERN IdeaSquare Journal of Experimental Innovation2413-95052024-12-018310.23726/cij.2024.1576Designing an AI Career Mentor for Early Career ResearchersLinus Tan0School of Design and Architecture, Swinburne University of Technology, John Street, Hawthorn VIC 3122, Australia This study describes the design and evaluation of a Generative Artificial Intelligence (GenAI) digital mentor tailored for Early Career Researchers (ECRs). Despite the proven benefits of mentorships for ECRs, access to effective mentorship remains limited due to constraints on experienced researchers’ time and their varying mentorship skills. Drawing on Career Construction Theory, research career mentorship, and Design Science methodology, this article documents the creation of a digital mentor and evaluates its assessment accuracy and guidance specificity in responding to career-related queries. The findings indicate that the digital mentor was fast, provided actionable career progression mentoring comments, and made explicit references to the mentee’s experience, skills, and university’s strategy. However, its skills assessment had weak similarity when compared to the mentee’s self-assessment, a peer assessment, and a research leader’s assessment of the mentee’s skills. Nonetheless, ECRs can consider using a digital mentor to obtain fast contextualised comments on developing their career within their university. https://e-publishing.cern.ch/index.php/CIJ/article/view/1576Generative artificial intelligenceCareer DevelopmentEarly career researcherMentorship |
| spellingShingle | Linus Tan Designing an AI Career Mentor for Early Career Researchers CERN IdeaSquare Journal of Experimental Innovation Generative artificial intelligence Career Development Early career researcher Mentorship |
| title | Designing an AI Career Mentor for Early Career Researchers |
| title_full | Designing an AI Career Mentor for Early Career Researchers |
| title_fullStr | Designing an AI Career Mentor for Early Career Researchers |
| title_full_unstemmed | Designing an AI Career Mentor for Early Career Researchers |
| title_short | Designing an AI Career Mentor for Early Career Researchers |
| title_sort | designing an ai career mentor for early career researchers |
| topic | Generative artificial intelligence Career Development Early career researcher Mentorship |
| url | https://e-publishing.cern.ch/index.php/CIJ/article/view/1576 |
| work_keys_str_mv | AT linustan designinganaicareermentorforearlycareerresearchers |