The number of STEM camps and extracurricular initiatives has risen considerably in recent years, driven by the increasing emphasis on the workforce shortage in STEM fields. However, despite their growth, these programs often suffer from a lack of structured evaluation practices, a well-known issue that hinders a comprehensive understanding of their effectiveness. This work focuses specifically on outreach initiatives and proposes ELEVATE-AI, a standardized evaluation platform that includes data-cleaning procedures, Exploratory Factor Analysis (EFA), and regression analysis to measure impacts effectively. Furthermore, we discuss the potential integration of AI-based tools to support non-experts in interpreting the results of the proposed analysis flow. The platform aims to lower technical barriers, promote systematic assessment, and encourage the widespread adoption of data-driven practices in evaluating CS and STEM outreach activities. To facilitate adoption and reproducibility, the platform will be made available as an open-source tool.
ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI / Burchiellaro, L.; Faenza, F.; Canali, C.. - 43:2025(2025), pp. 499-506. ( 20th Conference on Computer Science and Intelligence Systems, FedCSIS 2025 pol 2025) [10.15439/2025F3908].
ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI
Burchiellaro L.;Faenza F.;Canali C.
2025
Abstract
The number of STEM camps and extracurricular initiatives has risen considerably in recent years, driven by the increasing emphasis on the workforce shortage in STEM fields. However, despite their growth, these programs often suffer from a lack of structured evaluation practices, a well-known issue that hinders a comprehensive understanding of their effectiveness. This work focuses specifically on outreach initiatives and proposes ELEVATE-AI, a standardized evaluation platform that includes data-cleaning procedures, Exploratory Factor Analysis (EFA), and regression analysis to measure impacts effectively. Furthermore, we discuss the potential integration of AI-based tools to support non-experts in interpreting the results of the proposed analysis flow. The platform aims to lower technical barriers, promote systematic assessment, and encourage the widespread adoption of data-driven practices in evaluating CS and STEM outreach activities. To facilitate adoption and reproducibility, the platform will be made available as an open-source tool.| File | Dimensione | Formato | |
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