ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI

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.

Authors

Institutions

Publication Details

Journal
Annals of Computer Science and Information Systems
Published
2025-10-15
DOI
https://doi.org/10.15439/2025f3908
Primary Topic
Urban Planning and Valuation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI

Claudia Canali, Francesco Faenza, Linda Burchiellaro
Annals of Computer Science and Information Systems
Urban Planning and Valuation
article

ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI

Claudia Canali, Francesco Faenza, Linda Burchiellaro
article en

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.

Annals of Computer Science and Information SystemsVol. 43
University of Modena and Reggio Emilia (IT)
Openalex Percentile: Top 35%
Urban Planning and Valuation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

ELEVATE-AI: Evaluation of Learning Environments Via Assessment Tools Enhanced by AI — Claudia Canali, Francesco Faenza, et al. · Annals of Computer Science and Information Systems (2025) | TGRS Research Map | TGRS