Economic Thought and Practice, , 2026.
Original scientific paper
https://doi.org/10.17818/EMIP/2026/24
INTEGRATION OF ARTIFICIAL INTELLIGENCE PERSONALIZATION AND BIOSENSORS IN PROJECT-BASED LEARNING: FOSTERING 21ST-CENTURY SOFT SKILLS
Ivana Pavlić
; University of Dubrovnik, Croatia
Barbara Puh
; University of Dubrovnik, Croatia
Andrea Bilandžić
; Tourism and Hospitality School Split, Croatia
Abstract
Project-based learning (PBL) is a key component of modern curricula, engaging students in problem-solving and preparing them for the labour market. This paper examines how artificial intelligence personalisation (AIP) and biometric tools can support the achievement of PBL learning outcomes, increase motivation, and foster soft skills. In addition to a theoretical framework, the study presents a case study forming the basis for qualitative research. Behavioural methods are used to analyse participants’ non-verbal responses through biometric tools such as eye tracking and facial expression analysis, while semi-structured interviews explore their attitudes and perceptions of PBL. The findings indicate that PBL in a digital environment can effectively integrate AIP and biosensors to enhance motivation and skill development. Overall, the results highlight the potential of this approach to strengthen student motivation and support the development of soft skills by identifying key motivational triggers.
Keywords
project-based learning (PBL); artificial intelligence personalization (AIP); biometric tools
Hrčak ID:
347235
URI
Publication date:
18.5.2026.
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