AI chatbots in programming education: guiding success or encouraging plagiarism by Gökhan Akçapınar, Elif Sidan

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Project-based learning: For higher education students’ learning independence by Riska Novalia, Arita Marini, Totok Bintoro, Uyu Muawanah

“…The model demonstrated a good fit, with a Root Mean Square Error of Approximation (RMSEA) of 0.073. This indicates that the proposed model for students' learning independence is well-supported by the data. …”
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The Utility of ChatGPT in Educational Research—Potential Opportunities and Pitfalls by Turgut Karakose

“…Practical implications – ChatGPT is a double-edged sword with its potential benefits and caveats for scientific research. Educational researchers could benefit from the utility of ChatGPT in identifying gaps in the literature, generating new ideas and developing hypothesis, devising surveys or rating scales, conducting systematic reviews, eliminating human error in analysis of large datasets as well as drafting and editing scientific manuscripts. …”
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The Use of Neural Networks in Distance Education Technologies for the Identification of Students by O. A. Kozlova, A. A. Protasova

“…With an insufficient number of training sets (datasets), neural networks begin to perceive errors as reliable information, which, as a result, will lead to the need to retrain neural networks. …”
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Theoretical studies of multi-electrode sensor of components of electric field intensity vector in form of square plate of conductive material by S. V. Biryukov, A. V. Tyukin

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Qualitative analysis of the Clock Drawing Test by educational level and cognitive profile by Aline Teixeira Fabricio, Ivan Aprahamian, Mônica Sanches Yassuda

“…The use of a qualitative scale for the Clock Drawing Test (CDT) may add information about the pattern of errors committed. Objective: To translate and adapt the Modified Qualitative Error Analysis of Rouleau into Brazilian Portuguese and to examine the pattern of errors according to educational level and cognitive profile. …”
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Correction: Brandl and Schrader (2024). Student Player Types in Higher Education—Trial and Clustering Analyses. <i>Education Sciences</i>, <i>14</i>(4), 352 by Lea C. Brandl, Andreas Schrader

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Using Real Electronic Health Records in Undergraduate Education: Roundtable Discussion by Fatima Nadeem, Jessica Azmy, Asieh Yousefnejad Shomali, Benjamin Diette, Lloyd J Gregory, Angela C Davies, Kurt C Wilson

“…To mitigate concerns, it was suggested that data donors would provide informed consent ensuring they understand that they will not be recontacted should any such errors be found. ConclusionsInnovative solutions are needed to realign health care education with clinical practice in rapidly evolving digital environments. …”
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School Textbooks and the Study of Industrial Geography in Lower Secondary Education in Romania. by Viorel PARASCHIV, Cristina-Georgiana VOICU, Gheorghi NICULIȚA

“…The first part of the article outlines the place of industry in Romania’s official curriculum, starting with early education, continuing through primary education in subjects such as Mathematics and Environmental Exploration, Science, and Geography, and ending with secondary school Geography. …”
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Cost and Schedule Performance in Higher Education Construction Projects in Saudi Arabia by Khaled Medath Aldossari

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Prioritizing Higher Education Facilities Using TOPSIS Based on Student Preferences by Mutiara Novita Sari, Rahel Saffana Adya, Qurrotul Aini

“…Data were collected through a random sampling survey involving 98 active students, determined using Slovin's formula with a 10% margin of error. The analysis identifies WiFi as the top priority for improvement, followed by toilets and lifts. …”
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Personnel’s Experiences of Phlebotomy Practices after Participating in an Educational Intervention Programme by Karin Bölenius, Christine Brulin, Ulla H. Graneheim

“…Blood specimen collection is a common procedure in health care, and the results from specimen analysis have essential influence on clinical decisions. Errors in phlebotomy may lead to repeated sampling and delay in diagnosis and may jeopardise patient safety. …”
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Evaluation of Science Education for Students with Visual Impairment: Views of Teachers and Administrators by Hikmet Sürmeli, Aydın Sellioğ

“…Content analysis was used to analyse the data.Findings: The findings showed that the content of the curriculum was prepared intensively, the course duration was insufficient and the acquisitions were too many, teaching materials for many senses should be prepared and there were printing errors in the textbooks. It was determined that students had difficulties arising from the reader in the measurement and evaluation process.Discussion: The findings obtained in this study suggest that there are needs in providing science education for students with visual impairment. …”
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Detection of visual impairment in gerontological centres through educational innovation projects by María Covadonga Vázquez-Sánchez, Luz María Gigirey Prieto, Carlos Pío del Oro-Sáez

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Application of improved clustering algorithm in mixed teaching of modern educational technology by Lei Shu, Guirong Li

“…With advances in algorithm optimization and computational capabilities, cluster analysis holds broad potential for educational applications. Specifically, the improved clustering algorithm increased the silhouette score from 0.51 (K-means) and 0.58 (DBSCAN) to 0.68 and reduced the clustering error from 0.27 to 0.18. …”
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Learners’ preferences towards Corrective feedback in writing assignments in tertiary education by Horbacauskiene Jolita, Kasperaviciene Ramune

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Sex Education Approaches at Costa Rican Public Universities: An Exploratory Paper by María Luisa Preinfalk-Fernández

“…This research paper aims to show the panorama and scope of the current existing sex education practices carried out by the Costa Rican public universities. …”
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Development and psychometric evaluation of E-Learning Assessment Scale in Higher Education by Sevil Çiçek Özdemir, Ayten Şentürk Erenel, Şengül Yaman Sözbir, Sıdıka Pelit Aksu, Canan Uçakcı Asalıoğlu

“…CFA showed favourable results for Chi forecourt/ degrees of freedom (χ2/df), comparative fit indicator (CFI) and root mean square error of approximation (RMSEA). The Cronbach alpha of the scale was 0.96. …”
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Sexual Education of Young University Students: Some Key Factors and Challenges by María Luisa Preinfalk-Fernández

“…Moreover, these factors show Costa Rica’s need for higher education institutions to strengthen their actions in sex education. …”
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Development of adaptive and emotionally intelligent educational assistants based on conversational AI by Rommel Gutierrez, William Villegas-Ch, Jaime Govea

“…Although increasingly sophisticated in cognitive adaptability, current educational virtual assistants lack effective integration of real-time emotional analysis mechanisms. …”
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