Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions by Rina Azoulay, Tirza Hirst, Shulamit Reches

“…It focuses on the specific impact of LLMs in programming education, where dependence on AI-generated solutions may erode active learning and essential skill acquisition. …”
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Teaching logic programming: a review by Serhiy O. Semerikov, Iryna S. Mintii, Natalia V. Moiseienko

Subjects: “…logic programming…”
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Learning Analytics to Guide Serious Game Development: A Case Study Using Articoding by Antonio Calvo-Morata, Cristina Alonso-Fernández, Julio Santilario-Berthilier, Iván Martínez-Ortiz, Baltasar Fernández-Manjón

Subjects: “…computational thinking…”
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Introducing computational thinking to second and third graders. Programming whole paths outperforms step-by-step navigation in maze tasks by Frank Reinhold, Priska Sprenger, Gunnar Staniczek

Subjects: “…Computational thinking…”
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An experience of making the computerized dactyloscopic program of medical-genetic direction by V. A. Fokin, N. N. Ilyinskikh, A. V. Chantsev, Yu. A. Kozlov

Subjects: “…computer program…”
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Fuzzy Linear Programming for Economic Planning and Optimization: A Quantitative Approach by Mohammad Anber Abraheem Shlash, Nijalingappa Yogeesh, Mohammad Suleiman Ibrahim Shelash, Natarajan Raja, Lingaraju Lingaraju, Vasudevan Asokan, Alshurideh Muhammad Turki

Subjects: “…fuzzy linear programming…”
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Computing the coarseness measure of a bicolored point set over guillotine partitions by José Fernández Goycoolea, Luis H. Herrera, Pablo Pérez-Lantero, Carlos Seara

“…It has appealing theoretical properties, including a connection to the set of points tendency to accept a good clustering partition. Yet, it is computationally expensive to compute exactly. In this paper, the notion of computing the coarseness using a guillotine partition approach is introduced, and efficient algorithms for computing this guillotine coarseness are presented: a top-down approach and a dynamic programming approach, both of them achieving polynomial time and space complexities. …”
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Employing large language models to enhance K-12 students’ programming debugging skills, computational thinking, and self-efficacy by Shu-Jie Chen, Xiaofen Shan, Ze-Min Liu, Chuang-Qi Chen

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COMPUTER MODELING ON THE BASIS OF THE PROGRAM “PRON R S-2” OF LONGITUDINAL STRESSES IN THE INGOT, BEING COOLED BY FLAT-FLAME BURNER by A. N. Chichko, N. V. Andrianov, A. V. Demin, D. M. Kukuj, V. F. Sobolev, Ju. V. Jatskevich, O. I. Chichko

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Formation of similarity criteria for physical objects and processes based on NonDimCritFormer 1.0 computer program by I. M. Tsibirova

“…The research objective was to create a computer program that would automatically form dimensionless similarity criteria based on the initial set of parameters.Materials and Methods. …”
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Contents of Training High-Graded Specialists in Informational Computer Technologies within the Context of Cognitive Processes (Using Programming as an Example) by N.B. Golovin

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TAVISCORE: a computer program for risk stratification of complications after aortic valve interventions in patients with reduced ejection fraction by D. A. Strelkov, D. D. Zubarev, A. S. Pischugin, V. V. Guryev, D. I. Kulikov, Z. N. Postnikova, K. S. Lening

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A high-performance tensor computing unit for deep learning acceleration by Qiang Zhou, Tieli Sun, Taoran Shen, York Xue

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Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine by Hanna M. Hieromnimon, James Dolezal, Kristina Doytcheva, Frederick M. Howard, Sara Kochanny, Zhenyu Zhang, Robert L. Grossman, Kevin Tanager, Cindy Wang, Jakob Nikolas Kather, Evgeny Izumchenko, Nicole A. Cipriani, Elana J. Fertig, Alexander T. Pearson, Samantha J. Riesenfeld

“…Then, we used deep learning techniques to train a computational model to predict the activity levels of the transcriptional programs directly from histology images. …”
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Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers by Tanjie Wang, Yueshen Xu, Xinkui Zhao, Zhiping Jiang, Rui Li

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Programming Industrial Robots in the Fanuc ROBOGUIDE Environment by Boryan Vladimirov, Stiliyan Nikolov, Stanislav Tsolov

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Accordance System Of Distance Learning “Foundations Of Algorithmization And Programming” To International Standards Of Quality. by E. Bakumenko

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