Faculty development for undergraduate student programmatic assessment: a Brazilian multi-centered longitudinal study by Rodrigo Humberto Flauzino, Maria Paula Panúncio-Pinto, Valdes Roberto Bollela, Luiz Ernesto de Almeida Troncon

“…Local leaders took an initial workshops cycle (20 h), which was followed by 10 similar activities at the various institutions. The program design covered topics on assessment practices and systems using active teaching–learning strategies. …”
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Developing an Instrument of Performance Assessment to Measure Problem-Solving Skills of Senior High School Students in Physics Inquiry-Based Learning by Alda Novita Sari, Undang Rosidin, Abdurrahman Abdurrahman

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Software Support for the Higher Mathematics Course at the Technical University by Oleksii Viktorovych Bogdanov, Yurii Pavlovych Butsenko, Olena Ivanivna Balina, Iryna Srhiivna Bezklubenko

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Examining teachers’ behavioural intention of using generative artificial intelligence tools for teaching and learning based on the extended technology acceptance model by Siu Cheung Kong, Yin Yang, Chunyu Hou

“…To enhance teachers' effective use of GenAI for teaching, teacher development programmes should focus on equipping teachers with comprehensive conceptual knowledge and skills and an understanding of the application of these tools to teaching and learning. …”
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From Observation to Ethical Inquiry: Course Redesign in Middle Level Educator Preparation by Sarah Straub, Elizabeth Gound

“…This manuscript explores the transformative impact of ethical engagement in the course MLGE 3301: Adolescent Learning, designed for pre-field students in an educator preparation program. …”
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Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning by Lanlan Wang, Yong Lin, Tingting Song, Yuchun Chen, Kai Li, Junchao Ran

“…A variety of model configurations were constructed using actual data from a coastal province in southern China, and the computational results show that the integrated prediction model exhibits excellent stability and accuracy.…”
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FOUR DOMINANT FACTORS INFLUENCING STUDENTS' MATHEMATICAL CURIOSITY by Dadang Juandi, Nurul Farida, Saddam Al Aziz, Welli Meinarni

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Improving medical students’ learning strategies, management of workload and wellbeing: a mixed methods case study in undergraduate medical education by Christopher-James Harvey, Kathleen E. Leedham-Green, Cristina Koppel, Arti Maini, Susan F. Smith, Mary J. Morrell, Michael Emerson

“…Passive study methods often fail, while evidence-based strategies like retrieval practice, active learning, and growth mindset foster success. We evaluate a novel academic support programme (Academic Tutoring- (AT)) to enhance study skills, feedback use, and self-directed learning. …”
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Evaluation of pyroptosis-associated genes in endometrial cancer utilizing a 101-combination machine learning framework and multi-omics data by Li Juan Huang, Chen Liu, Lin Chen, Min Tang, Shi Tong Zhan, Feng Chen, An Yi Teng, Li Na Zhou, Wei Lin Sang, Ye Yang

“…Pyroptosis, a pro-inflammatory form of programmed cell death, plays dual roles in cancer but remains poorly understood in the context of EC and its immune microenvironment.MethodsWe identified pyroptosis-associated genes (PAGs) and applied a 101-combination machine learning framework to construct and validate a robust prognostic model using TCGA bulk RNA-seq and single-cell transcriptomic data. …”
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A study on factors influencing digital sports participation among Chinese secondary school students based on explainable machine learning by XiaoTao Cai, Yi Xian, TongYi Liu, YuXin Zhou, Qing Chen, HaoNan Cui

“…Multilevel logistic regression identified five significant influencing factors (p < 0.05): academic performance, weekly physical education class days, household ICT resources, school ICT resources, and ICT social perception, which were incorporated as features in machine learning models. Through grid search with 5-fold cross-validation, we constructed and optimized four basic machine learning models (GNB, GBDT, KNN, and LR), then developed an ensemble stacking model using base models with AUC values exceeding 0.70. …”
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A Deep Learning Approach for Predicting Aerial Suppressant Drops in Wildland Firefighting Using Automatic Dependent Surveillance–Broadcast Data by Shayne Magstadt, Yu Wei, Bradley M. Pietruszka, David E. Calkin

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Unraveling the significance of cuproptosis in hepatocellular carcinoma heterogeneity and tumor microenvironment through integrated single-cell sequencing and machine learning appro... by Wang Liu, Liangjing Xia, Yuan peng, Qiang Cao, Ke Xu, Huiyan Luo, Yongjun Peng, Yanping Zhang

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Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model by Tiwonge E Mbeya-Munkhondya, Caroline J Meek, Mtisunge Mphande, Tapiwa A Tembo, Mike J Chitani, Milenka Jean-Baptiste, Caroline Kumbuyo, Dhrutika Vansia, Katherine R Simon, Sarah E Rutstein, Victor Mwapasa, Vivian Go, Maria H Kim, Nora E Rosenberg

“…Themes were grouped into factors affecting the 2 sets of TAM constructs: perceived usefulness and perceived ease of use. …”
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Personalised higher education based on microcourses: Possible ways of implementation by L. O. Denishcheva, I. S. Safuanov, Yu. A. Semenyachenko

“…The article presents a model of personalised learning at a university based on the use of microcourses. …”
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Performance Comparison of Genomic Best Linear Unbiased Prediction and Four Machine Learning Models for Estimating Genomic Breeding Values in Working Dogs by Joseph A. Thorsrud, Katy M. Evans, Kyle C. Quigley, Krishnamoorthy Srikanth, Heather J. Huson

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Psychosocial Differences Between Female and Male Students in Learning Patterns and Mental Health-Related Indicators in STEM vs. Non-STEM Fields by María Natividad Elvira-Zorzo, Miguel Ángel Gandarillas, Mariacarla Martí-González

“…Using a holistic approach, five learning dimensions comprising a diversity-in-learning (DinL) construct were analyzed: Coping with Difficulties, Effort, Autonomy, Understanding/Career Interest, and Social Context. …”
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Multiscale guided attention network for optic disc segmentation of retinal images by A Z M Ehtesham Chowdhury, Andrew Mehnert, Graham Mann, William H. Morgan, Ferdous Sohel

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Defining the cardiac surgical learning curve: a longitudinal cumulative analysis of a surgeon’s experience and performance monitoring in the first decade of practice by Shantel Chang, Ian Smith, Christopher Cole

“…Abstract Background Individual surgeons’ learning curves are a crucial factor impacting patient outcomes. …”
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Helping tools for the regular expression author for test questions in LMS Moodle by O. A. Sychev, G. V. Terehov

“…There are many programs developed to help composing and learning of the regular expressions, but they are using different forms of regular expression visualization. …”
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Real time intelligent garbage monitoring and efficient collection using Yolov8 and Yolov5 deep learning models for environmental sustainability by Mohammed M. Abo-Zahhad, Mohammed Abo-Zahhad

“…Nationally, governments have initiated several programs to improve cleanliness by developing systems that alert businesses when it’s time to empty the bins. …”
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