This study examines teachers’ perceptions of assessment and their relationship with instructional practice in primary education. It examines whether teachers perceive assessment as a tool to support student learning and development or as a mechanism for ensuring educational quality through teaching evaluation and exam preparation. The research is based on a survey conducted with 396 primary school teachers in Croatia, including both lower and upper grades. Descriptive statistics, Pearson’s correlation coefficients, multiple regression analysis, and one-way ANOVA were employed to analyze the data. The findings indicate a statistically significant correlation between teachers’ perceptions of assessment and the assessment strategies they implement in the classroom. Formative assessment is widely supported, yet summative methods remain prevalent. Lower primary teachers apply formative strategy more frequently than their upper primary counterparts. Teachers with mentor status demonstrate a stronger inclination toward student-centered assessment practices and report applying them more consistently. The results highlight the prevalence of a hybrid assessment model in which teachers balance formative and summative approaches, seeking to meet institutional requirements while simultaneously supporting student development. The findings underscore the need for continuous professional development and systemic support to empower teachers in adopting assessment practices that effectively enhance student learning and elevate educational quality. Training programs should be designed to address the specific needs of primary teachers, recognizing differences between lower and upper levels, as well as subject-specific requirements in grades 5 through 8. A targeted approach would facilitate the effective integration of contemporary assessment strategies into everyday teaching, supporting student progress and educational improvement.

The rapid integration of artificial intelligence (AI) technologies into the field of higher education is causing widespread public discourse. However, existing research is fragmented and lacks systematic synthesis, which limits understanding of how college and university students adopt artificial intelligence technologies. To address this gap, we conducted a systematic review following the guidelines of the PRISMA statement, including studies from ScienceDirect, Web of Science, Scopus, PsycARTICLES, SOC INDEX, and Embase databases. A total of 5594 articles were identified in the database search; 112 articles were included in the review. The criteria for inclusion in the review were: (i) publication date; (ii) language; (iii) participants; (iv) object of research. The results of the study showed: (a) The Technology Acceptance Model and the Unified Theory of Technology Acceptance and Use are most often used to explain the AI acceptance; (b) quantitative research methods prevail; (c) AI is mainly used by students to search and process information; (d) technological factors are the most significant factors of AI acceptance; (e) gender, specialty, and country of residence influence the AI acceptance. Finally, several problems and opportunities for future research are highlighted, including problems of psychological well-being, students’ personal and academic development, and the importance of financial, educational, and social support for students in the context of widespread artificial intelligence.