Teacher training for the future: insights from a Needs Analysis on Digital Technologies and Artificial Intelligence by Letizia Cinganotto, Giorgia Montanucci

“…The paper concludes with a reflection on the implications of these findings for future teacher training programs, emphasizing the necessity of a flexible, context-responsive, and technology-integrated training framework to equip educators with constructive, meaningful, and future-oriented learning. …”
Get full text

L’alphabet latin comme moyen de mobilisation du plurilinguisme chez les étudiants thaïlandais en langues étrangères by Niparat Imsil

“…Since its inception, educational institutions at both school and university levels have had the freedom to diversify their foreign language programs. Thai learners were given the liberty to choose the languages they wanted to learn within their schools or universities. …”
Get full text

Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering by Herearii Metuarea, François Laurens, Walter Guerra, Lidia Lozano, Andrea Patocchi, Shauny Van Hoye, Helin Dutagaci, Jeremy Labrosse, Pejman Rasti, David Rousseau

“…In orchards specially constructed for variety testing or breeding programs, computer vision tools should be able to extract phenotypical information form each tree separately. …”
Get full text

Una valutazione col pilota automatico? Una riflessione sulle cose che possiamo guadagnare e quelle che rischiamo di perdere impiegando l’intelligenza artificiale nei processi valut... by Cristiano Corsini

“…A REFLECTION ON THE THINGS WE CAN GAIN AND THOSE WE RISK LOSING BY USING ARTIFICIAL INTELLIGENCE IN EVALUATION PROCESSES Abstract The paper analyses pros and cons of using generative artificial intelligence in the students’ learning assessment process. In particular, the article focuses on the possibility offered by programs such as ChatGPT to reduce the time devoted to complex operations such as construction of multiple-choice questions or classification of open-ended answers. …”
Get full text

Exploring current trends in agricultural commodities forecasting methods through text mining: Developments in statistical and artificial intelligence methods by Luana Gonçalves Guindani, Gilson Adamczuk Oliveirai, Matheus Henrique Dal Molin Ribeiro, Gabriel Villarrubia Gonzalez, José Donizetti de Lima

Get full text

Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

“…Abstract Security vulnerability prediction (SVP) can construct models to identify potentially vulnerable program modules via machine learning. …”
Get full text

Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

Get full text

Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

Get full text

Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

“…A web interface has been developed to automate the analysis of new data using constructed machine learning models used to conduct regression analysis to create a binary logistic model (prediction based on collected data of people with socially significant diseases) and a multiclass classification models (prediction based on collected data, which it is the disease that can be detected in a person). …”
Get full text

Identifying common disease trajectories of Alzheimer’s disease with electronic health recordsResearch in context by Mingzhou Fu, Sriram Sankararaman, Bogdan Pasaniuc, Keith Vossel, Timothy S. Chang

Get full text

A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic by Thouraya Gherissi Labben, Gurdal Ertek

Get full text

AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

“…Using the LightGBM algorithm, the proposed model constructed on the basis of different machine-learning procedures achieved 98% accuracy to accurately predict the acceptability of vaccines included in the immunization program. …”
Get full text

Technology for determining non-humanities university students' cognitive-and-psychological characteristics by N. I. Chernova, E. A. Ivanova, N. B. Bogush, N. V. Katakhova

“…The purpose of this work was to create a special entrance test for first-year students starting to learn a new foreign language. To achieve the research objective, the study analyzed data on testing language/linguistic proficiency and motivation for learning a foreign language. …”
Get full text

A Novel Efficient Method of Estimating Suspended‐To‐Total Sediment Load Fraction in Natural Rivers by Hyoseob Noh, Yong Sung Park, Il Won Seo

Get full text

TIM-FEM-ML synthetic technology for longitudinal optimization of tunnel excavated in the interlayered rock mass by Hui Li, Weizhong Chen, Xiaoyun Shu, Xianjun Tan, Qun Sui

“…Python codes are programmed to realize automatic processing of numerical simulation and results are extracted to the ML algorithm for the prediction model. …”
Get full text

Computer-Modeling System of Agronomist’s Labor Functions by I. E. Bystrenina

“…Among the main objectives of the research is the study of the essence of computer modeling as a teaching method in the works of domestic scientists, as well as the construction of models and their implementation using high-level programming languages in order to obtain an information system for the labor functions of an agronomist.Materials and methods. …”
Get full text

Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

Get full text

‘She has become Brave:’ the role of menstrual health education in building girls’ agency by Aubryn Allyn Sidle, Asimwe Suedi, Hannah Schwarz, Monica-Zulay Swai, Eugenia Kafanabo, Brenda Oulo

Get full text

Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

“…Furthermore, multiple machine learning algorithms are employed to construct a robust predictive model. …”
Get full text

YOLOPears: a novel benchmark of YOLO object detectors for multi-class pear surface defect detection in quality grading systems by Junsheng Chen, Junsheng Chen, Haoxuan Fu, Haoxuan Fu, Chuhan Lin, Chuhan Lin, Xian Liu, Lijin Wang, Lijin Wang, Yaohua Lin, Yaohua Lin

Get full text