THEMATIC AREAS

Research on the effective combination of face-to-face and online teaching to maximize student experiences and performance.
Studies on “at-your-own-pace” learning models and their impact on student autonomy and motivation.
Evaluation of non-formal learning environments such as MOOCs, educational innovation labs, and mobile learning platforms.
Analysis of the adaptation of hybrid and digital educational models to different needs and socioeconomic contexts.

Development of AI Literacy, challenges, and emerging models.
Implications of using AI for the development of digital competence among university educators.
Evaluation of AI algorithms for educational content personalization and their impact on learning to customize learning and support students at risk of academic failure.
Implementation of intelligent tutoring systems, chatbots, and AI tools that adapt teaching strategies according to student progress.
Creation of curricula and content with AI.
Analysis of AI tools for support, enhancement, and development of the teaching function.

Analysis of AI in student-centered teaching.
Implications of AI use in the development of active methodologies.
Professional development of digital teaching competence.
Research on new pedagogical approaches that integrate digital technologies into the teaching-learning process and improve student engagement and participation.
Research on student-centered methods, such as Project-Based Learning, Challenge-Based Learning, and Service-Learning, in digital contexts.
Case methodologies as a type of student-centered learning and problem-solving learning.
Implications of using active methodologies for the professional development of university educators.

Research on the impact of gamification on student motivation and learning.
Development of immersive experiences in virtual and augmented reality that enhance the understanding of complex concepts.
Evaluation of the integration of AI tools in gamification environments and their effect on learning personalization.
Case studies of successful implementation of immersive technologies at different educational levels.

Research on biases in AI algorithms and their educational impact.
Implications of AI in academic integrity systems and educational quality.
Implications of AI in evaluation systems and verification of educational outcomes.
Analysis of challenges related to privacy and data security in AI-powered educational tools.
Development of ethical frameworks and guidelines for the responsible use of AI in educational contexts, considering educational levels and fields of teaching.
Case studies examining the implementation of ethical AI in learning environments.

Innovations in the integration of AI to improve educational management.
Implications for the effectiveness and personalization of the educational experience.
Studies on the training and professional development of administrators and educators in the effective use of AI tools.
Evaluation of the impacts of digital transformation on educational management and administration.
Analysis of AI adoption strategies to optimize decision-making and improve institutional efficiency.

Studies on the integration of the SDGs into educational programs through digital tools.
Development of educational materials and resources that address sustainable development challenges using AI and digital tools.
Evaluation systems for educational programs on SDG challenges.

Studies on entrepreneurial education and the application of AI-based methodologies.
Implications of AI use in the development of digital and entrepreneurial competencies.
Development of educational materials and resources that address entrepreneurship content using digital tools.
Entrepreneurial methodologies and AI.
Evaluation systems for educational programs on challenges.

Application of AI to conduct large-scale educational research and data analysis.
Use of predictive analytics to improve student retention rates and academic success indices.
Research on data-driven, personalized educational interventions powered by AI.
Evaluation of the reliability and validity of predictive models in diverse educational contexts.

Defining the role of AI in the development of key competencies and higher-order cognitive skills such as evaluation, analysis, critical thinking, etc.
Impact of AI-assisted writing tools like ChatGPT on the development of critical thinking and creativity in students.
Implications of AI in evaluation systems and assurance of learning in educational outcomes.
Analysis of ethical implications and transparency in AI-based assessment.

Studies on innovative strategies to reduce the digital divide and promote equity in access to education.
Research on programs that ensure digital inclusion in underserved communities.
Development of tools and resources that facilitate equitable access to technology and digital skills.
Evaluation of the impact of digital inclusion on learning and social development.

This category encompasses emerging and complementary topics in educational innovation.
It provides a space to explore new ideas, research, and innovative practices that do not fit into the previous thematic areas.
It encourages the presentation of interdisciplinary research that connects various aspects of teaching innovation.
It promotes the exploration of emerging topics that may influence the future of education.