This research investigates blockchain technology, focusing on the influence of motivation on collaborative work, which positively influences learning performance in Higher Education Institutions (HEI). In addition, blockchain technology is correlated with decentralisation, security and integrity, and anonymity and encryption. It can also be perceived as a consensus mechanism, rewarding students, professors, and universities as a smart contract. Therefore, this technology has been used to improve higher education. It also allows less informed people to interact with better-informed peers and mentors. Finally, this study aims to enhance the current state of blockchain applications comprehension. The methodology used for this research includes document analysis, literature review, content analysis (blockchain platforms), the case study method, and the survey method. In statistical considerations, aiming to evaluate indicators, this research presents the Composite Reliability Analysis, Cronbach Alpha Coefficients, and the Bootstrapping method (Variance Inflation Factor). All these analyses aimed to present a designed research model. This exploratory research gathered data from 150 students at 3 universities in Serbia, Romania, and Portugal. As demonstrated, using student motivation has a significant and positive impact on the quality of student collaborative work. Student collaborative work also correlates with students’ higher level of engagement in the educational process, and the more engaged students are, the better their learning outcomes will be. As a result, in higher education, student involvement boosted learning outcomes. Researchers found that motivation, teamwork, and student involvement were important factors in improving student learning outcomes, as were blockchain-based tools. The results from the quantitative analysis indicate that Collaborative work, Motivation, Engagement, MOOCs, AR, VR, Gamification, and Online class were associated with learning performance.

The connection with customers is a key task of companies, which can be achieved through diverse communication channels, among which one profitable way includes interactive websites. This paper first presents a synthetic review of previous studies on the topic of websites’ interactivity. So far, we observe interactivity through individual models of interactivity. In this paper, four modelling variables are used, which make this paper more complex in the understanding of interactivity. Further, a new research development is exposed, with emphasis on experiment structuring, modelling variables configuration, results achievement, and data analysis and interpretation. It has been ascertained that the model based on four variables creates a broader research framework, enabling an effective analysis of their overall correlations, as well of correlations between each of its components. The applicative part of the research was unrolled with effective participation of a group of 350 students, who were homogeneous in their profiles and activities. Based on the results of an initial test, 240 students were selected and participated in the main test, who all had a particular interest in searching for a job, practice, or training course on the Internet. The research reveals a higher positive impact of interactive websites vs. non-interactive websites, and compares computer use to mobile devices. It also reveals how user perception and behaviour can be positively impacted by making website searches easier, and allowing users to comment on advertisements, share the content on social media, use e-mail marketing, etc.