Conference Agenda

The objective of this study was to analyze the patterns identified in the scientific literature on the use of learning analytics and student engagement in distance higher education (2020–2025). A systematic review was conducted following the PRISMA 2020 model, using Scopus as the sole source. The search yielded 74 records; after filtering and refinement, 58 documents were analyzed, and after screening and full-text evaluation, 29 studies were included in the final synthesis. Bibliometric analysis was applied exploratorily with VOSviewer (keyword co-occurrence) to organize the evidence into four thematic clusters. The findings show an evolution from descriptive approaches to predictive and prescriptive models, with increasing use of AI, dashboards, and learning management systems to monitor, explain, and promote student engagement.

The transition to higher education in Peru faces high dropout rates, particularly in engineering, due to gaps in mathematical reasoning and geographical barriers to accessing virtual platforms. This research analyzes the implementation of "La Ruta del Aprendizaje," an innovation that uses Genially and mobile devices (m-Learning) to facilitate access to Calculus course content for engineering students located in Lima and other regions of the country. Based on active methodologies and educational ethics. The proposal was evaluated during 2025. The results indicate that 95.2% of students used the tool effectively, with 97.6% satisfaction in motivation and ease of access. The study concludes that m-Learning acts as a bridge for educational equity, reducing the digital divide and improving student engagement in the Calculus course of the engineering faculty.

This study analyses the long-run relationship between foreign direct investment (FDI) and economic growth in Peru over the period 1980–2023, adopting a quantitative and non-experimental approach based on time-series analysis. The empirical strategy relies on the Engle–Granger cointegration framework to assess whether foreign capital inflows and gross domestic product (GDP) exhibit a stable equilibrium relationship over time. The results provide evidence of a positive and statistically significant long-run association, indicating that FDI and GDP tend to co-move along a common trajectory despite short-run fluctuations. From a systemic perspective, these findings highlight the role of foreign investment as a structural component of economic dynamics rather than a short-term stimulus. The study contributes to the discussion on sustainable growth and long-term planning by offering empirical insights that are relevant for policy design, institutional coordination, and strategic decision-making in emerging economies, particularly in contexts where economic performance depends on external capital flows and long-run stability.