A Virtual Reality Application and an Interactive Board Game for Students Learning to Program by Anna Tonda Ramos, Agueda Gomez-Cambronero, Ignacio Miralles, Inmaculada Remolar

“…Two interactive prototypes (VR and BG) were developed and validated to ensure functional and educational reliability. A three-way experimental design was employed to evaluate learner engagement, conceptual understanding, and satisfaction. …”
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On the Impact of Labeled Sample Selection in Semisupervised Learning for Complex Visual Recognition Tasks by Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis

“…These approaches are explored in the context of four semisupervised learning techniques, i.e., graph-based approaches (harmonic functions and anchor graph), low-density separation, and smoothness-based multiple regressors, and evaluated in two real-world challenging computer vision applications: image-based concrete defect recognition on tunnel surfaces and video-based activity recognition for industrial workflow monitoring.…”
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Non-Invasive Composition Identification in Organic Solar Cells via Deep Learning by Yi-Hsun Chang, You-Lun Zhang, Cheng-Hao Cheng, Shu-Han Wu, Cheng-Han Li, Su-Yu Liao, Zi-Chun Tseng, Ming-Yi Lin, Chun-Ying Huang

“…A multilayer perceptron (MLP) neural network was applied with various activation functions, optimization algorithms, and data split ratios. …”
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Examination Database and Online Paper Forming Algorithm for Mobile Personalized Learning Test by Wanwu Li, Lin Liu, Hui Zhang, Jinhong Li, Zhi Wang

“… It is crucial to advance network education exam informatization and mobile learning. One of them is the creation of a database system for exams, which contains crucial information. …”
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Speech acts in Indonesian High School EFL textbooks: Representation & learning implications by Siti Sudartini, Adi Sutrisno, Ni Gusti Ayu Roselani

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Habitat selection ecology of the aquatic beetle community using explainable machine learning by Marek Kruk, Joanna Pakulnicka

“…We found strong interactions between the body size, ecological element and trophic type of beetles, suggesting that these general traits control the structure and functioning of the beetle community studied. The area of the lake and the features of beetle occurrence in the aquatic environment play an important but secondary role, and the importance of the characteristics of the lake’s riparian zone was minimised. …”
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The analysis of deep reinforcement learning for dynamic graphical games under artificial intelligence by Yuyang Yan, Jiahui Li, Cristina Zaggia

“…This algorithm employs an Actor-Critic framework, where the Actor network learns optimal policies and the Critic network estimates value functions. …”
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THE USE OF DISTANCE LEARNING TECHNOLOGIES IN TRAINING AND RETRAINING OF LEGAL PERSONNEL: THE PROBLEM STATEMENT by M. Bychko, I. Komarevceva

“…In the context of the development of digital technologies with the effective use of distance learning it is possible to improve the quality of training and retraining of lawyers. …”
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Insulin signaling and dietary restriction differentially influence the decline of learning and memory with age. by Amanda L Kauffman, Jasmine M Ashraf, M Ryan Corces-Zimmerman, Jessica N Landis, Coleen T Murphy

“…Our results suggest that specific longevity treatments have acute and long-term effects on cognitive functions that decline with age through their regulation of rate-limiting genes required for learning and memory.…”
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Development of pedagogical competences for future primary school teachers through distance learning by Galiya Otynshina, Raifa Dusembinova, Svetlana Odintsova, Kulzhan Aidarbekova, Bayan Shaushekova

“…This work aims to identify effective means of distance learning methods for developing pedagogical competence among student-teachers. …”
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Machine learning uncovers the transcriptional regulatory network for the production host Streptomyces albidoflavus by Mathias Jönsson, Renata Sigrist, Tetiana Gren, Mykhaylo Semenov Petrov, Nils Emil Junge Marcussen, Anna Svetlova, Pep Charusanti, Peter Gockel, Bernhard O. Palsson, Lei Yang, Emre Özdemir

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Classifying kidney disease using a dense layers deep learning model by Amal Al-Rasheed, Sheikh Muhammad Saqib, Muhammad Zubair Asghar, Tehseen Mazhar, Asim Seedahmed Ali Osman, Mohammad Shahid, Muhammad Iqbal, Muhammad Amir Khan

“…Deep learning platforms like hidden layers, activation functions, optimizers, and epochs are also necessary for the automatic detection of these diseases. …”
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Multi-Agent System for Emulating Personality Traits Using Deep Reinforcement Learning by Georgios Liapis, Ioannis Vlahavas

“…In this paper, we propose a multi-agent system using Deep Reinforcement Learning in a game environment to generate the necessary labeled data. …”
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Project-based learning as a tool for professionalization of future human resource managers by I. A. Romanova, N. I. Laas, E. V. Gurova

“…At the same time, labour functions from the professional standard 07.003 “HR specialist” are indicated for each project, the development of which is precisely what the project work of future HR specialists is aimed at. …”
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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

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Hierarchy-boosted funnel learning for identifying semiconductors with ultralow lattice thermal conductivity by Mengfan Wu, Shenshen Yan, Jie Ren

“…Abstract Data-driven machine learning (ML) has demonstrated tremendous potential in material property predictions. …”
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Knowledge graph completion based on iteratively learning embeddings and noise-aware rules by Jinglin Zhang, Bo Shen

“…Both methods are combined in studies that involve evaluating rules on the basis of the matching degree between relation embeddings and scoring functions and using triplets derived from high-quality rules to enhance embedding learning. …”
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Implementation of Freedom To Learn in Higher Education: Perceptions of Students, Lecturers, and Administration Staff by Christine Dwi Karya Susilawati, Se Tin Se Tin, Bernard Rhenaldi Sutedja

“…The results of the study show, first, there are still many students, lecturers and education staff who know little and do not even know and understand the MBKM program; Second, information about MBKM is mainly obtained from internal universities; Third, the majority of lecturers contribute and play an active role in encouraging students to participate in MBKM activities; Fourth, the involvement of educational staff in the implementation of MBKM is still below 50% and they are already involved in administration, management, supervision and technical service functions; Fifth, MBKM provides additional competencies and skills, increases hard-skills and soft-skills, improves the learning process and lecturer capacity, fulfills graduate learning outcomes. …”
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Pop Culture in the Classroom: Associations with Student Learning Outcomes and the Underlying Psychological Mechanisms by Su Tao, Yuchen Yang

“…Mediation analysis revealed that the association between pop culture integration and increased satisfaction was primarily driven by student learning engagement and the perceived functionality of the case materials. …”
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Unmasking Machine Learning With Tensor Decomposition: An Illustrative Example for Media and Communication Researchers by Yu Won Oh, Chong Hyun Park

“…As online communication data continues to grow, manual content analysis, which is frequently employed in media studies within the social sciences, faces challenges in terms of scalability, efficiency, and coding scope. Automated machine learning can address these issues, but it often functions as a black box, offering little insight into the features driving its predictions. …”
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