https://opendata.uni-halle.de//handle/1981185920/13588 2026-06-12T21:23:24Z 2026-06-12T21:23:24Z Rasheed, Hiba Saad Abdulfattah, Abtihaj Shukur Sabri, Maryam Ahmed Zaidi, Muhaned Abbas, Israa Akram https://opendata.uni-halle.de//handle/1981185920/125817 2026-06-12T20:00:44Z 2026-03-01T00:00:00Z

Title: Data-Driven Gas Sensing Performance of Cdo Thin Films Author(s): Rasheed, Hiba Saad; Abdulfattah, Abtihaj Shukur; Sabri, Maryam Ahmed; Zaidi, Muhaned; Abbas, Israa Akram Abstract: This study explores how different film thicknesses (250, 300, and 350 nm) of CdO thin films deposit by spray pyrolysis (SP). XRD analysis confirmed the polycrystalline nature, demonstrating a preference for direction towards the (200) plane. Crystallite size increased with thickness. AFM analyses revealed a reduction in surface roughness and grain size with increased thickness, indicating smoother, more uniform films. Optical analysis showed a decrease in both absorbance and bandgap energy (from 2.58 eV to 2.43 eV) as the film thickness increased, due to improved crystallinity and sub-level formation in the band structure. Both extinction coefficient and refractive index exhibited a decline as the film thickness increased, indicating enhanced optical quality and reduced surface defects. Gas sensing performance was evaluated using NO₂ gas. Thinner films (250 nm) exhibited higher sensitivity due to greater surface area and more active adsorption sites. Sensitivity significantly decreased with increased thickness due to a reduced surface-to-volume ratio.

2026-03-01T00:00:00Z Zhalinska, Iryna Nikolaienko, Serhii Parnus, Kateryna Kosheleva, Marina Mykhaylovska, Olena https://opendata.uni-halle.de//handle/1981185920/125786 2026-06-11T01:14:10Z 2026-04-01T00:00:00Z

Title: Online and Face-to-Face Learning Effectiveness in Ukrainian Higher Education : A Multidimensional Comparison Author(s): Zhalinska, Iryna; Nikolaienko, Serhii; Parnus, Kateryna; Kosheleva, Marina; Mykhaylovska, Olena Abstract: The rapid digital transformation of higher education has intensified scholarly interest in the effectiveness of online learning. This study provides a multidimensional comparison of online and face-to-face learning effectiveness in Ukrainian higher education. Drawing on a mixed-methods research design, the study integrates a systematic review of recent empirical literature (2019-2025) with quantitative survey data collected from 140 university students. Learning effectiveness is conceptualized as a multidimensional construct encompassing academic outcomes, student engagement and motivation, interaction quality, technological and organizational conditions, and psychological perceptions of the educational process. The findings indicate that online learning demonstrates clear advantages in technological accessibility, organizational efficiency, and perceived psychological safety, while face-to-face learning shows stronger outcomes in fostering social interaction and the development of transferable skills. Differences in academic outcomes and motivation are comparatively moderate, suggesting that effectiveness is shaped less by learning modality per se and more by instructional design and institutional support. The results support a complementary interpretation of online and face-to-face formats rather than a dichotomous opposition between them. The study contributes empirical evidence from an underrepresented Eastern European context and offers practical implications for the balanced integration of digital learning formats in contemporary higher education systems.

2026-04-01T00:00:00Z Polishchuk, Iryna Dovhan, Yuriy Yakushevska, Oksana Dovhan, Larysa Nepochatenko, Oleksandr Petrova, Viktoriia https://opendata.uni-halle.de//handle/1981185920/125785 2026-06-11T01:14:04Z 2026-04-01T00:00:00Z

Title: Information Technologies in the Digital Ecosystem of Higher Education Institutions Author(s): Polishchuk, Iryna; Dovhan, Yuriy; Yakushevska, Oksana; Dovhan, Larysa; Nepochatenko, Oleksandr; Petrova, Viktoriia Abstract: The article examines the issues of modern information technologies (IT) and their application in higher education institutions. The purpose of the article is to analyze the main areas of application of IT in the digital ecosystem of a higher education institution, covering educational process management, teaching and learning, and scientific research. Comparative, systemic, and structural-functional methods are used to conduct the study. The evolution of IT in education is briefly highlighted from the invention of the printing press to the formation of modern digital ecosystems. The main areas of IT application in higher education institutions are as follows: automation of management and administrative processes; computerization of the educational process; creation of an interactive learning environment; and integration of information and communication technologies into scientific and research activities. Modern IT solutions for each area are described. The practical experience of the Vinnytsia Institute of Trade and Economics of the State University of Trade and Economics is presented as a case study of an integrated digital ecosystem built on its automated management system “Smart Electronic Learning,” and the Moodle educational platform. It is emphasized that the maximum effect of digital transformation is achieved not through the mechanical implementation of individual technologies, but their organic integration into a single digital ecosystem. An integrated approach to implementing IT ensures data integration, eliminates information duplication, and creates a synergistic effect for all participants in the educational process.

2026-04-01T00:00:00Z Lys, Daria Suvorov, Vladyslav Borysenko, Tetiana Tsynova, Maryna Hryhorenko, Svitlana https://opendata.uni-halle.de//handle/1981185920/125784 2026-06-11T01:14:02Z 2026-04-01T00:00:00Z

Title: Transformation of Higher Education in the Age of Artificial Intelligence : Analysis of Digital Learning Practices Author(s): Lys, Daria; Suvorov, Vladyslav; Borysenko, Tetiana; Tsynova, Maryna; Hryhorenko, Svitlana Abstract: The article analyzes the transformation of higher education in the era of Artificial Intelligence (AI) in the context of digital learning practices and cultural changes within the university environment. The aim of the study is to understand the impact of AI technologies on institutional models of universities and everyday learning practices. The methodological basis of the work is an interdisciplinary approach that combines cultural and pedagogical analysis with a comparative study of digital educational platforms. Special attention is paid to the role of AI as a tool for personalized learning, learning analytics, and the automation of educational and managerial processes, as well as to issues of ethics, autonomy, and cultural responsibility. The practical part of the article includes a comparative analysis of the distance learning systems Moodle and Google Classroom, using the case of the Odesа Polytechnic National University. It is shown that these platforms represent different models of organizing digital learning: a functionally oriented LMS with a high level of customization, and a cloud-based distance learning system focused on interface convenience and user experience. The results of the study confirm that the integration of AI into higher education is not only a technological but also a cultural process, which requires rethinking academic roles, educational strategies, and the value foundations of universities.

2026-04-01T00:00:00Z