A5034299760- Online Learning and Analytics
- Mental Health Research Topics
- Language, Metaphor, and Cognition
- Educational Games and Gamification
- Statistical Methods in Clinical Trials
- Neural and Behavioral Psychology Studies
- Schizophrenia research and treatment
- Discourse Analysis in Language Studies
- Language, Discourse, Communication Strategies
- Innovative Teaching and Learning Methods
- Teaching and Learning Programming
- Cognitive Abilities and Testing
- Action Observation and Synchronization
- Mental Health and Psychiatry
- Attention Deficit Hyperactivity Disorder
- AI and HR Technologies
- Advanced Statistical Modeling Techniques
- Motivation and Self-Concept in Sports
- Functional Brain Connectivity Studies
- Forecasting Techniques and Applications
- Artificial Intelligence in Healthcare
- Neurobiology of Language and Bilingualism
- Cognitive Functions and Memory
- Autism Spectrum Disorder Research
- Intelligent Tutoring Systems and Adaptive Learning
University of Bologna
2020-2025
The heterogeneity of cognitive profiles among psychiatric patients has been reported to carry significant clinical information. However, how best characterize such is still a matter debate. Despite being well suited for data, cluster analysis techniques, like the Two-Step and Latent Class, received little no attention in literature. present study aimed test validity solutions obtained with Class on profile cross-diagnostic sample 387 inpatients. produced similar reliable solutions. overall...
Despite the significant emphasis placed on incorporating 21st century skills into educational framework, particularly at primary level, recent scholarly works indicate considerable variation in implementation of these across different countries and regions, suggesting a demand for further research specifically focusing education. The indications Digicomp framework 1 21st-century Europe have outlined key competences lifelong learning needed all citizens, including teachers students. In this...
Compared to concrete concepts, like "book," abstract concepts expressed by words "justice" are more detached from sensorial experiences, even though they also grounded in modalities. Abstract lack a single object as referent and characterised higher variability both within across participants. According the Word Social Tool (WAT) proposal, owing their complexity, need be processed with help of inner language. Inner language can namely participants re-explain themselves meaning word, keep...
Abstract Concepts allow us to make sense of the world. Most evidence on their acquisition and representation comes from studies single decontextualized words focuses opposition between concrete abstract concepts (e.g., “bottle” vs. “truth”). A significant step forward in research consists investigating them online interaction during use. Our study examines linguistic exchanges analyzing differences sub-kinds concepts. Participants were submitted an task which they had simulate a...
This study explores the conditional dependencies among items in Raven’s Colored Progressive Matrices (CPM), a non-verbal measure of cognitive ability and fluid intelligence, within sample school-aged children. To this aim, we applied Bayesian networks (BNs), to data obtained from 255 participants, aged 4 11 years. We evaluated variety models, starting complete independence model progressing sequential, data-informed structures. The results highlighted that inter-item were particularly...
Questionnaire validation is indispensable in psychology and medicine essential for understanding differences across diverse populations the measured construct. While traditional latent factor models have long dominated psychometric validation, recent advancements introduced alternative methodologies, such as "network framework." This study presents a pioneering approach integrating information theory, machine learning (ML), Bayesian networks (BNs) into questionnaire validation. Our proposed...
Assessing executive functions in individuals with disorders or clinical conditions can be challenging, as they may lack the abilities needed for conventional test formats. The use of more personalized versions, such adaptive assessments, might helpful evaluating specific needs. This paper introduces PsycAssist, a web-based artificial intelligence system designed neuropsychological assessment and training. PsycAssist is highly flexible scalable based on procedural knowledge space theory used...
Assessing the cognitive abilities of students in academic contexts can provide valuable insights for teachers to identify their profile and create personalized teaching strategies. While numerous studies have demonstrated promising outcomes clustering based on profiles, effective comparisons between various methods are lacking current literature.In this study, we aim compare effectiveness two techniques group including general intelligence, attention, visual perception, working memory,...
In education, the term "gamification" refers to of use game-design elements and gaming experiences in learning processes enhance learners' motivation engagement. Despite researchers' efforts evaluate impact gamification educational settings, several methodological drawbacks are still present. Indeed, number studies with high rigor is reduced and, consequently, so reliability results. this work, we identified key concepts explaining issues exploited controverses extant literature. Our final...
Concepts allow us to make sense of the world. Most evidence on their acquisition and representation comes from studies single decontextualized words focuses opposition between concrete abstract concepts (e.g. bottle vs. truth). Our study examines linguistic exchanges analyzing differences sub-kinds concepts. Participants responded sentences involving (tools, animals, food) (PS, philosophical-spiritual; EMSS, emotional-social, PSTQ, physical-spatio-temporal-quantitative). We found in content:...
Questionnaire validation is indispensable in psychology and medicine essential for understanding differences across diverse populations the measured construct. While traditional latent factor models have long dominated psychometric validation, recent advancements introduced alternative methodologies, such as ``network framework''.This study presents a pioneering approach integrating information theory, machine learning (ML), Bayesian networks (BNs) into questionnaire validation. Our proposed...
Cognitive profiling plays a crucial role in understanding learning dynamics, it contributes significantly to the development of students’ metacognitive skills and awareness process, thereby facilitating adoption tailored experiences. Clustering, proves effective cognitive profiling. However, challenge “curse dimensionality” introduces complexities that can impact accuracy cluster subject attribution. This paper investigates evaluation various internal validation metrics stability using...
One of the most common applications Bayes’s theorem for inferential purposes consists computing ratio between probability alternative and null hypotheses via a Bayes factor, which allows quantifying likely explanation data two. However, actual scientific questions that researchers are interested in rarely well represented by classically defined hypotheses. Bayesian informative-hypothesis testing offers valid easy way to overcome such limitations model-selection procedure comparing highly...
Cognitive profiling plays a crucial role in understanding learning dynamics, it contributes significantly to the development of students’ metacognitive skills and awareness process, thereby facilitating adoption tailored experiences. Clustering, proves effective cognitive profiling. However, challenge ”curse dimensionality” introduces complexities that can impact accuracy cluster subject attribution. This paper investigates evaluation various internal validation metrics stability using...
Introduction Studies on psychiatric patients have shown that the presence of autistic traits affects effectiveness treatment, decreasing likelihood positive clinical outcomes. Objectives The aim present study is to investigate which are areas overlap between symptoms and autism spectrum using a bayesian approach. Methods A sample 190 adult patients, diagnosed with schizophrenia, bipolar disorder, major depression, personality disorder participated in study. RAADS-R questionnaire was used...
Introduction Although eye-movement disorders are one of the most replicated deficits in psychiatric literature, strong heterogeneity results is still an unexplained issue that could be effectively addressed with a quantitative review evidence. Objectives For this reason, large-scale metanalytic study comprising more than 200 studies was conducted to analyse presence schizophrenia patients, as compared healthy controls. Methods To aim, saccadic eye movements were grouped based on type task...