Conference Agenda

The Covid-19 pandemic has revealed weaknesses in digital competencies in key actors of educational communities, which affects the quality of education and the preparation of future professionals. In this context, the research focused on analyzing the development of digital competencies from the perspective of higher education students in Peru. A mixed approach was used under a sequential design, combining first quantitative and then qualitative data, to collect information were chosen (n=142) students under the simple random probability strategy; also, were chosen (n=9) non-probabilistically by convenience, to which, they were applied a questionnaire consisting of 5 dimensions and 42 items on an ordinal scale and an interview guide, which was useful to apply a focus group and in-depth interviews to reach the point of saturation. The results showed that most students (64.1%) have a moderate level of digital competencies, followed by a high level (29.6%) and a low level (6.3%). The emerging categories identified were curiosity, the development of digital skills and the establishment of their own information search strategies. Students demonstrated a combination of knowledge, skills, attitudes, methods and procedures to articulate communication, collaboration and data and information management consciously and safely in digital environments. The research concludes that self-training, resilience and personal development are key to the development of digital competencies in higher education students.

Virtual education is a fundamental part of the current information and knowledge society; therefore, it is important to assess the experiences of teachers in their role of training professionals and the challenges involved in their work. In this context, the research focused on understanding the main challenges of virtual education from the perspective of university teachers. A hermeneutic phenomenological research design was adopted, under the qualitative approach. The sample (n=16) was selected non-probabilistically by convenience, with the inclusion criteria being teachers with more than 4 years of experience in teaching virtual classes; a semi-structured interview guide with 8 guiding questions was applied to them, for a total of 7 in-depth interviews and two focus groups. The main findings include challenges such as time organization, lack of interaction and commitment of students, management of technological tools, and frustration due to lack of personal connection. It is concluded that to overcome these obstacles, continuous training in the use of interactive digital resources is necessary, but also in effective time management strategies focused on emotional well-being

The purpose of this research is to understand the perception of higher education students about education assisted through Information and Communication Technologies. The work is framed within the qualitative approach under a hermeneutic phenomenological design. Participant observation and focus group techniques were used, 16 students were selected with their inclusion and exclusion selection criteria until data saturation was reached; then, they were subjected to segmentation and coding procedures. Among the main findings was that, despite the difficulties of connectivity and the absence of other technological resources, students maintain favourable attitudes towards educational processes in virtual environments and develop expectations for learning new technologies. It is concluded that the perceptions of the research subjects need to assess the geographical and technical conditions of the students before implementing virtual education solutions.

The bibliometric analysis of digital inclusion in university students addresses a fundamental topic in modern education, impacting both access to digital technologies and the development of competencies necessary for their effective use. This study aims to identify trends, influential authors, leading institutions, and international collaborations within the related scientific literature, using a quantitative methodology based on the Scopus database. A total of 500 publications were processed using tools such as Bibliometrix and VOSviewer to visualize co-authorship networks and emerging trends. The results highlight a significant increase in scientific output since 2016, driven by the growing digitization of education and the COVID-19 pandemic, which underscored technological inequalities. The conclusions emphasize the importance of inclusive policies, digital literacy, and technological infrastructure development to promote sustainable digital equity, ensuring equal educational opportunities for all university students.

This quantitative explanatory study employs a cross-sectional design to explore how affective commitment, behavioural engagement, expectation of effort, performance expectancy and relative advantage influence learning satisfaction in a flipped classroom model. Using multiple linear regression analysis, five predictor variables and one dependent variable are examined within a structural model to determine the key factors contributing to improving students' educational experience. The study sample was 215 male and female higher education students in Peru. The results of the study show that affective engagement is the most significant predictor of learning satisfaction in the flipped classroom model, with a coefficient of 0.545 and a p-value of 0.000. In addition, relative advantage also positively influences student satisfaction. These findings underline the importance of the emotional dimension and the perceived superior benefits of this pedagogical model. In conclusion, educators should focus on strengthening emotional engagement and effectively communicating the advantages of the flipped classroom to maximise student satisfaction.

Abstract – The research addresses the transition to Industry 5.0, highlighting emerging challenges in cybersecurity for industrial systems, especially in contexts of advanced cyber-physical systems and the integration of emerging technologies such as blockchain and quantum computing. It analyzes the impact of technologies such as 5G and IoT on the security of critical infrastructures, such as power grids and industrial control systems. The study also explores automation in security incident response and the implementation of advanced detection solutions based on AI, machine learning and deep learning. Finally, the paper emphasizes the importance of human-robot collaboration and the need to adapt to new vulnerabilities, proposing an updated conceptual framework for addressing cybersecurity challenges in Industry 5.0. This analysis provides a comprehensive view of current advances and gaps in industrial cybersecurity, suggesting key areas for future research and the development of more adaptive and effective solutions.