Lupa

Search the repository Help

A- | A+ | Print
Query: search in
search in
search in
search in
* old and bologna study programme

Options:
  Reset


1 - 10 / 71
First pagePrevious page12345678Next pageLast page
1.
Using inquiry-based learning for developing university students’ digital skills
Mojca Žefran, Silva Bratož, 2025, independent scientific component part or a chapter in a monograph

Abstract: In recent years, the development of digital skills has been encouraged at all levels of education. For this purpose, innovative pedagogies and approaches aimed at fostering learners’ active participation, critical skills, and autonomy have been proposed. In this paper, we focus on the benefits of using the inquiry-based approach (IBL) for developing education students’ digital skills. A design-based study was conducted with a group of students (n=38) in the primary education study programme with a view to identifying students’ attitudes towards IBL as well as their experiences and challenges encountered in the process. The design-based scenario followed the 5E inquiry-based instructional model (engagement, exploration, explanation, elaboration, and evaluation). Data for this study was gathered through an online survey, a focus group discussion, and through an in-depth analysis of the IBL scenario. The results indicate that students hold positive attitudes towards IBL. The most significant challenge identified was the application of critical thinking skills to locate and evaluate relevant research sources.
Keywords: digital skills, inquiry-based learning, pre-service primary school teachers, critical thinking
Published in RUP: 20.06.2025; Views: 63; Downloads: 4
.pdf Full text (229,18 KB)
This document has more files! More...

2.
Evaluating the digital transformation in healthsciences education : a thematic analysisof higher education teachers’ perspectives
Mirko Prosen, Sabina Ličen, 2025, original scientific article

Abstract: The rapid shift to digital-based education has profoundly influenced pedagogical approaches in health scienceshigher education. This transformation has prompted a critical re-evaluation of digital pedagogy to improve learningeffectiveness and adapt to emerging educational realities. This study explored the perspectives of health sciencesteachers on digital pedagogy in higher education, with a specific focus on their adaptation to and perception ofintegrating digital technologies in pedagogical processes. A qualitative research design utilizing thematic analysiswas employed. The study involved twenty health sciences teachers in higher education institutions through fourfocus group sessions. Data were analysed using thematic analysis. Three main themes were identified: (1) Digitaltransformation in education, (2) Educational efficacy and evolution, and (3) Overcoming barriers and embracingopportunities. These themes have shown that the introduction of technology is closely linked to pedagogicalinnovation, as digital tools have transformed educational practise by enabling more interactive, flexible and learner-centred approaches. Additionally, they highlighted the challenges of integrating new technologies into existingeducational frameworks. Digital pedagogy in health sciences education remains a dynamic field that demandscontinuous adaptation and development. To effectively integrate digital tools, teachers need robust supportthrough professional development. This support is essential for creating engaging, inclusive, and effective learningenvironments. Addressing technological disparities and enhancing digital literacy are critical for fully harnessing thepotential of digital education.
Keywords: e-learning, didactics, health sciences education, technology-enhanced learning, professional development
Published in RUP: 08.06.2025; Views: 117; Downloads: 4
URL Link to file

3.
Occupancy estimation using indoor air quality data : opportunities and privacy implications
Domen Vake, Niki Hrovatin, Jernej Vičič, Aleksandar Tošić, 2025, original scientific article

Abstract: Indoor Air Quality (IAQ) has long been a significant concern due to its health-related risks and potential benefits. Readily available air quality sensors are now affordable and have been installed in many buildings with public buildings taking center stage. The dynamics of IAQ are commonly studied in relation to different materials used in construction, building design, room utility and effects on occupants. However, besides what the sensors were designed to measure, it is possible to infer other information. In this paper, we present a Machine Learning (ML) model that predicts the presence of people in the room with an accuracy as high as 93 % and the exact number of occupants with 2.17 MAE. We validate our proposed approach in the use-case of an elementary school in Slovenia. In collaboration with the elementary school in Ajdovščina, 8 air quality sensors were placed in classrooms and air quality parameters (VOC, CO, Temperature, and Humidity) were monitored for 6 months. During the monitoring period, school staff collected anonymous data about classroom occupancy. The indoor air quality data was paired with external weather data as well as occupancy to train the model. Moreover, we compare our approach with other commonly used ML approaches and provide results related to our use case. Finally, these results highlight the privacy concerns related to structural monitoring due to the established ability to infer potentially sensitive information.
Keywords: indoor air quality, occupancy estimation, machine learning, sensor networks, privacy, building monitoring
Published in RUP: 02.06.2025; Views: 149; Downloads: 7
.pdf Full text (3,66 MB)
This document has more files! More...

4.
5.
6.
7.
8.
9.
10.
Search done in 0 sec.
Back to top
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica