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Facilitating Curriculum Transformation in STEAM in a Volatile, Uncertain, Complex and Ambiguous World
(2025-09) Kanyangale, Macdonald; James, Angela; Proches, Cecile Gerwel; Dagienė, Valentina; Matthiasdottir, Asrun; Liem, Inggriani; Jasutė, Eglė; Audunsson, Haraldur; Department of Sport Science; Department of Engineering
Curriculum transformation is critical for higher education to meet the changing needs of society and industry in a volatile, uncertain, complex and ambiguous world. However, there is little consensus among stakeholders on its definition and implementation. This qualitative research explores understandings of curriculum transformation and the processes involved in its realization. Findings highlight three key dimensions in conceptualizing curriculum transformation: dynamic and adaptive change, the transformation continuum, and regulated change. The study reveals that the process of curriculum transformation is complex, structured and evolving, and involves information gathering and structural design. While highly contextualized, curriculum transformation generally falls between two models: a top-down approach driven by government influence, or a decentralized, bottom-up change process. Academics in Higher Education Institutions may adopt the integrative meaning of curriculum transformation proposed in this study to facilitate curriculum transformation in a holistic way in a volatile, uncertain, complex and ambiguous context.
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Empowering Community-Based Heritage through Gaming : A Developer’s Perspective
(2026-06-01) Del Giudice, Nicola; Department of Computer Science
While the use of games to foster the preservation of cultural heritage seems to be an effective solution, we lack a discussion on how it can promote community-based heritage. This article introduces the topic from the point of view of software and game developers.
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Exploring actions, interactions and challenges in software modelling tasks : an empirical investigation with students
(2026-07) Chakraborty, Shalini; Troya, Javier; Burgueño, Lola; Liebel, Grischa; Department of Computer Science
Background: Software modelling is a creative yet challenging task. Modellers often find themselves lost in the process, from understanding the modelling problem to solving it with proper modelling strategies and modelling tools. Students learning modelling often get overwhelmed with the notations and tools. To teach students systematic modelling, we must investigate students’ practical modelling knowledge and the challenges they face while modelling. Aim: We aim to explore students’ modelling knowledge and modelling actions. Further, we want to investigate students’ challenges while solving a modelling task on specific modelling tools. Method: We conducted an empirical study by observing 16 pairs of students from two universities and countries solving modelling tasks for one hour. Results: We find distinct patterns of modelling of class and sequence diagrams based on individual modelling styles, the tools’ interface and modelling knowledge. We observed how modelling tools influence students’ modelling styles and how they can be used to foster students’ confidence and creativity. Based on these observations, we developed a set of guidelines aimed at enhancing modelling education and helping students acquire practical modelling skills. Conclusions: The guidance for modelling in education needs to be structured and systematic. Our findings reveal that different modelling styles exist, which should be properly studied. It is essential to nurture the creative aspect of a modeller, particularly while they are still students. Therefore, selecting the right tool is important, and students should understand how a tool can influence their modelling style.
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Electrochemical Production of Silicon Using an Oxygen-Evolving SnO2 Anode in Molten CaCl2-NaCl
(2025-12) Padamata, Sai Krishna; Haarberg, Geir Martin; Saevarsdottir, Gudrun; Department of Engineering
The electrochemical production of silicon from SiO2 in molten salts can reduce energy consumption and mitigate carbon emissions associated with the conventional carbothermic process. In this study, we compare the anodic behaviour of platinum, graphite, and tin oxide electrodes in molten CaCl2-NaCl-CaO-SiO2 at 850 °C using electrochemical methods including cyclic voltammetry, linear sweep voltammetry, and chronoamperometry. Pt exhibited low oxygen evolution overpotentials and no significant currents before OER, compared to SnO2. An eight-hour potentiostatic electrolysis with a SnO2 anode and a graphite cathode yielded a Si-Sn deposit, indicating partial dissolution of the SnO2 anode during the electrolysis process. These results highlight the kinetic trade-off of SnO2 relative to Pt, and the risk of Sn contamination with extended electrolysis times. While SnO2 is unsuitable for production of high-purity Si, it remains a promising anode candidate for Si-Sn alloy formation.
Verk
Assessment of defectsin mountain roadway tunnel due to various natural and operational factors – Istiqlol (Republic of Tajikistan)
(2018) Teshaev, Umardzhon R.; Padamata, Sai Krishna; Vokhmin, Sergey A.; Trebush, Yuri P.; Khasanov, Nurali M.; Department of Engineering
The present article analyses the defects in a mountain roadway tunnel (Istiqlol) recorded between 2013 and 2017. The defect analysis of the mountain tunnel is vital as it deals with the safety of the passengers using the tunnel. The factors causing the deterioration of tunnel is discussed in this present work. Deterioration of the tunnel lining is due to continuous maintenance of the tunnel is the biggest threat to the durability of the tunnel. Infiltration of groundwater through seismic (deformation) seams, cracks through the tunnel lining have a special role in deteriorating the state of the tunnel construction, which leads to minor surface corrosion to major ones. The defects in the tunnel were noted personally in a regular basis between the years 2013 and 2017. Defects were categorized into 6 different types with respect to their nature. Probability plots were plotted with help of MINITAB software to analyse the probability at which a particular value of Technical condition severity occurs. The final observations states the main reason for the defects in the tunnel.

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