https://rfos.fon.bg.ac.rs/handle/123456789/3 2026-05-28T02:47:26Z 2026-05-28T02:47:26Z https://rfos.fon.bg.ac.rs/handle/123456789/3279 2026-05-07T05:19:20Z 2026-05-04T00:00:00Z

Title: Student profiles of change in formative assessment behaviour: Replication and evaluation for grade prediction Authors: Poquet, Oleksandra; Jovanović, Jelena; Krusche, Stephan Abstract: As students learn and practice new skills in university courses, their behaviour can change in response to competing demands and increasing content complexity. However, most metrics used to evaluate study behaviour focus on the number or sequence of activities rather than on the change of behaviour. To address this, we replicate and extend a complex dynamical systems approach to characterise recurrence in behavioural patterns and whether it changes.Using assessment logs from 1362 students in the first 5 weeks of a semester-long programming course, we examine whether changes in the patterns of formative assessment submissions can differentiate student sub-groups and predict their performance. We identify three student profiles of behavioural change. We find that higher entropy of recurrence in assessment submission patterns is associated with better performance, and that changes in this entropy signal upcoming changes in performance. We also show that higher entropy of recurrence is associated with greater timeliness of submissions. Finally, we evaluate the predictive value of early behavioural patterns and find that while student profiles of change do not outperform conventional predictive metrics, they offer complementary insights that can enable timely interpretations of student data and inform interventions. Overall, our findings extend the generalisability of behavioural metrics based on complex dynamical systems by demonstrating consistent patterns across courses, LMS types and data sources.

2026-05-04T00:00:00Z https://rfos.fon.bg.ac.rs/handle/123456789/3278 2026-05-07T05:17:27Z 2026-03-15T00:00:00Z

Title: Assessing Patterns of Students’ Attainment of Professional Standards in Higher Education Authors: Barthakur, Abhinava; Jovanović, Jelena; Baker, Ryan; Kovanović, Vitomir; Deneen, Christopher; Dawson, Shane Abstract: It is widely recognized that higher education (HE) graduates require a broad range of professional skills and abilities to succeed in their future careers. However, despite this acknowledgement, assessment practices in HE remain focused on content-based knowledge. This narrow emphasis limits the capacity to effectively and holistically evaluate a student’s professional competency and readiness for employment. This issue is particularly acute for HE degrees that require graduates to demonstrate attainment of externally regulated professional standards. While the curricula are mapped to professional standards for accreditation purposes, demonstrating a student’s attainment of these standards is not straightforward and has mostly been done through self-reported surveys. This study offers a novel curriculum analytics method for mapping assessment grades to the attainment of professional standards across a Teacher Education program. Specifically, we present an approach that uses psychometric modelling and learning analytics to identify distinct patterns in learners’ acquisition of professional standards. This method does not alter current assessment practices in HE. Instead, the approach offers a scalable, automated means to infer a learner’s attainment of documented professional standards, complementing current measures of academic success, such as GPA. The study underscores the advantages of complementing the current HE assessment practises with an outlined curriculum analytics approach, providing a holistic representation of a student’s learning progress.

2026-03-15T00:00:00Z https://rfos.fon.bg.ac.rs/handle/123456789/3277 2026-05-06T05:25:40Z 2026-01-01T00:00:00Z

Title: An Online Tool for Learning Material Requirements Planning in a Computer Integrated Manufacturing Course – A Case Study Authors: Cvetić, Biljana; Danilović, Miloš; Luković, Miljana Abstract: Material Requirements Planning (MRP) is a commonly used method and system for production and procurement planning in manufacturing companies. In practice, MRP functionalities are provided as a core module of the Enterprise Resource Planning (ERP) systems, but can also be offered via software tools. As MRP competencies are vital for several engineering roles, their attainment is one of the operations management and industrial engineering education goals. Accordingly, in this work, the possibilities and effectiveness of a new online MRP learning tool are assessed. The new MRP module from web-based OPR-MAN software was chosen following a customized selection procedure aiming to identify the most suitable MRP educational software for the Computer Integrated Manufacturing (CIM) course at the Faculty of Organizational Sciences, the University of Belgrade. The chosen module was subsequently applied when teaching several generations of students attending the CIM course. Its effectiveness was assessed both quantitatively (considering students’ test scores as a measure of individual performance) and qualitatively (using online questionnaire probing students’ overall satisfaction with this tool). A total of 145 students participated in the evaluation and the results showed that students acquired advanced MRP competencies and were very satisfied with the use of this new online tool for learning MRP.

2026-01-01T00:00:00Z https://rfos.fon.bg.ac.rs/handle/123456789/3276 2026-04-27T12:57:46Z 2025-12-31T00:00:00Z

Title: Investment for Sustainability: How FDI Drives Sustainable Development in Serbia Authors: Cvetković, Đorđe; Jednak, Sandra; Parežanin, Miloš Abstract: Objective – The paper examines how the sectoral and regional structure of foreign direct investment (FDI) in Serbia contributes to the Sustainable Development Goals (SDG 8, 9, 10, and 12). Research method - The paper uses descriptive analysis of secondary data on net FDI for the period 2015–2024. It includes indicators of productivity, wages, employment structure, regional distribution, and environmental pressure. Results - FDI in Serbia is mainly directed toward low-wage, high-pollution sectors, while those with greater development potential and lower environmental impact remain underrepresented. This sectoral structure provides partial support for SDG 8 and limits progress on SDG 9 and SDG 12. Regionally, FDI is concentrated in more developed areas, reinforcing spatial disparities and failing to support SDG 10. Originality / Value / Implications / Recommendations – The paper evaluates the alignment of Serbia’s sectoral and regional FDI structure with selected SGDs - a perspective still underrepresented in national-level empirical research. The results indicate structural misalignments between current investment patterns and national sustainability priorities. The analysis emphasizes the potential of more strategically directed FDI—both sectorally and regionally—to support development that is socially inclusive, economically progressive, and environmentally responsible.

2025-12-31T00:00:00Z