Active learning is a set of activities that allow the student to actively participate in the learning process. Active learning can be implemented using various methods and strategies. design thinking is a creative human-centric approach used for innovation. In this article, the authors consider learning the design thinking process as a strategy for active learning. After performing a thorough literature review, the authors display the results of pilot research conducted with business economics graduate students enrolled in the Disruptive Innovations and Design Thinking elective course. The research consisted of a survey and an experiment, and it was executed as part of the project “a/AR-Learning: Active learning by applying augmented reality”. The goal was to study the effects of learning the design thinking process and whether it could be used as an active learning method in order to influence the development of innovative thinking among students. The research question was, “How does learning the design thinking process affect the development of students’ innovative way of thinking?” The results of the pilot study confirmed all three hypotheses (H1 = After learning the design thinking process, students recognize the main characteristics of innovation; H2 = Active learning of the design thinking process affects critical assessment; H3 = The innovative way of thinking developed through active learning of the design thinking process differs among students), as well as showing effectiveness and a change in critical assessment, but also the need for an even more active approach. The authors suggest that broader research be undertaken involving a bigger sample and a larger scale.

Algorithms and artificial intelligence (AI) tools are crucial for digital literacy and competitiveness in today’s high-tech environment, transforming jobs across various sectors, including the media. The history of journalism is closely linked with technological development; from Gutenberg’s printing press to radio, television, the internet and AI tools. This paper aims to determine the perception of AI in the Croatian media and its alignment with Croatian journalists’ opinions, as well as assess ChatGPT’s effectiveness in sentiment analysis. The insights gained should improve the understanding of the impact of AI on public opinion and its ethical implications for journalism. The research methodology combined AI-driven sentiment analysis (ChatGPT Plus) with qualitative content analysis. A total of 45 articles about AI published in the Croatian media between April and September 2023 were evaluated. Two hypotheses were tested: H1, that ChatGPT’s sentiment analysis matches human assessment, and H2, that the Croatian media generally express a positive view of AI. The results confirmed H1, with ChatGPT’s sentiment analysis corresponding to human assessment in 44 out of 45 cases. H2 was partially corroborated; sentiment distribution pointed to neutral (42%), positive (36%), and negative (22%) views of AI. Positive articles highlighted the benefits of AI in areas such as healthcare, while negative articles raised privacy and employment concerns. The results point to a balanced perspective on AI in the Croatian media, recognising advantages and risks alike. Future research can expand on these findings by examining long term sentiment trends in domestic media and comparing them with global trends. Improved AI tools for independent data collection and more accurate sentiment interpretation can further support this endeavour. Additionally, this paper paves the way for further sentiment analysis of media articles, exploring the implications of AI application on readers’ perception and reception of information.