Michela Ponticorvo
Biographic Data
| ID | 163245 |
|---|---|
| NAME | Michela Ponticorvo |
| GIVEN NAMES | Michela |
| FAMILY NAME | Ponticorvo |
| SIGNATURE | PONTICORVO M |
| AFFILIATIONS | University of Naples Federico II |
| ORCID | 0000-0003-2451-9539 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Human Expertise and Large Language Model Embeddings in the Content Validity Assessment of Personality Tests
In this article, we explore the application of Large Language Models (LLMs) in assessing the content validity of psychometric instruments, focusing on the Big Five Questionnaire (BFQ) and Big Five Inventory (BFI). Content validity, a cornerstone of test construction, ensures that psychological measures adequately cover their intended constructs. Using both human expert evaluations and advanced LLMs, we compared the accuracy of semantic item-const…
Exploring the effect of digital and multisensory educational materials on retention in primary school using Tangible User Interfaces
The spreading of digital tools for learning has been impressive in later years. Some attempts have been made to augment traditional tools with digital solutions, still offering the chance to propose multisensory stimulation and interactivity. In this context, the aim of this study is to strengthen the importance of a multisensorial approach as a key factor in the development of learning devices in educational settings. We focused on investigating…
Persistence In Optimal Vocational Identity
Laterality, verticality and spatial organization of school-age children measured through E-Baking Tray Task quantitative indexes
Artificial Neural Networks for Short-Form Development of Psychometric Tests
Short-form development is an important topic in psychometric research, which requires researchers to face methodological choices at different steps. The statistical techniques traditionally used for shortening tests, which belong to the so-called exploratory model, make assumptions not always verified in psychological data. This article proposes a machine learning–based autonomous procedure for short-form development that combines explanatory and…
Hyper-Activity Books and Serious Games
The COVID-19 pandemic has accelerated the adoption of digital tools for learning. Experiential learning, a crucial process in the educational pathway, can also be promoted at a distance. This paper describes HAB, hyper-activity books and serious games (SG) as methodologies to be used for assessment and training that overcome physical distancing due to COVID-19 in learning. We introduce some examples of these methodologies. The experiences and res…
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Hyper-Activity Books and Serious Games
The COVID-19 pandemic has accelerated the adoption of digital tools for learning. Experiential learning, a crucial process in the educational pathway, can also be promoted at a distance. This paper describes HAB, hyper-activity books and serious games (SG) as methodologies to be used for assessment and training that overcome physical distancing due to COVID-19 in learning. We introduce some examples of these methodologies. The experiences and res…
Artificial Neural Networks for Short-Form Development of Psychometric Tests
Short-form development is an important topic in psychometric research, which requires researchers to face methodological choices at different steps. The statistical techniques traditionally used for shortening tests, which belong to the so-called exploratory model, make assumptions not always verified in psychological data. This article proposes a machine learning–based autonomous procedure for short-form development that combines explanatory and…
Exploring the effect of digital and multisensory educational materials on retention in primary school using Tangible User Interfaces
The spreading of digital tools for learning has been impressive in later years. Some attempts have been made to augment traditional tools with digital solutions, still offering the chance to propose multisensory stimulation and interactivity. In this context, the aim of this study is to strengthen the importance of a multisensorial approach as a key factor in the development of learning devices in educational settings. We focused on investigating…
Persistence In Optimal Vocational Identity
Laterality, verticality and spatial organization of school-age children measured through E-Baking Tray Task quantitative indexes
Human Expertise and Large Language Model Embeddings in the Content Validity Assessment of Personality Tests
In this article, we explore the application of Large Language Models (LLMs) in assessing the content validity of psychometric instruments, focusing on the Big Five Questionnaire (BFQ) and Big Five Inventory (BFI). Content validity, a cornerstone of test construction, ensures that psychological measures adequately cover their intended constructs. Using both human expert evaluations and advanced LLMs, we compared the accuracy of semantic item-const…
Computer Science (4 works) · Psychology (4 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Developmental psychology (2 works) · Mathematics education (2 works) · Social Psychology (2 works) · Virtual Reality Applications and Impacts (2 works) · 2019-20 coronavirus outbreak (1 work) · Advanced Statistical Modeling Techniques (1 work)