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Competency-Based Learning in LOMLOE: How IGNITE Copilot AI Supports Teachers in its Implementation

Education in Spain has undergone a significant transformation with the entry into force of the Organic Law of Amendment to the Organic Law of Education (LOMLOE). One of the key changes introduced by this law is the focus on competency-based learning, which seeks to go beyond the mere transmission of knowledge to develop practical and transferable skills in students. This approach implies a challenge for teachers, who must adapt their methodologies to a more active and competency-focused teaching. In this context, tools such as IGNITE Copilot, an artificial intelligence application specifically designed to support teachers, have become strategic allies to facilitate the planning and execution of effective teaching experiences within the framework of competency-based learning.

What is Competency-Based Learning?

Competency-based learning does not focus solely on the acquisition of information, but on the ability of students to apply that knowledge in real-life situations. Competencies include both theoretical knowledge and practical skills, attitudes and values ​​that allow students to function effectively in different contexts. The LOMLOE establishes that the curriculum must be oriented towards the development of key competencies such as:

Linguistic communication competence: ability to express and understand ideas effectively.

Mathematical competence and basic competencies in science and technology: ability to apply mathematical and scientific concepts to real situations.

Digital competence: management and understanding of digital tools.

Social and civic competences: development of empathy, cooperation and active participation in society.

Sense of initiative and entrepreneurial spirit: ability to face problems in a creative and autonomous way.

Cultural awareness and expressions: ability to appreciate and participate in culture.

This approach requires teachers to reorient their pedagogical work towards a teaching model that promotes autonomy, collaboration and creativity in students, challenging traditional teaching methods based solely on memorization and control of content.

The LOMLOE and the Promotion of Competence-Based Learning

The LOMLOE places competence-based learning at the center of teaching, establishing that students must not only know, but also know how to do. In this sense, the law proposes changes in several aspects of the educational system:

Competence-based curriculum: The curriculum is redesigned to focus on the development of key competencies, linking learning to problem solving and practical application in daily life.

Competence-based assessment: Assessments not only measure the degree of knowledge acquisition, but also the student’s ability to apply this knowledge in a meaningful way.

Active methodologies: The LOMLOE encourages the implementation of methodologies such as project-based learning (PBL), collaborative work, and service-learning, where students face real challenges that require the application of various competencies.

Inclusion and equity: The aim is to ensure that all students, regardless of their circumstances, can develop the competencies necessary for their full personal and social development.

IGNITE Copilot: The Digital Ally for Teachers

The transition to a competency-based teaching model can be challenging for teachers, who must create more dynamic and student-centered learning experiences. This is where artificial intelligence comes into play, and specifically the IGNITE Copilot application, a platform designed to assist teachers in creating lesson plans, activities and teaching experiences aligned with competency-based learning.

What is IGNITE Copilot?

IGNITE Copilot is an artificial intelligence tool that acts as an assistant for teachers, providing personalized suggestions for the development of educational materials. Based on the analysis of curricula, competency standards and the specific needs of students, IGNITE Copilot allows teachers to:

Design competency-based activities: It suggests activities and tasks based on real problems, projects or case studies that foster the development of competencies in students.

Personalize learning: Provides recommendations to adapt lessons to students’ different learning levels and styles, ensuring inclusive teaching.

Facilitate competency-based assessment: Proposes formative and summative assessment methods aligned with competency development, helping teachers measure student progress in the practical application of knowledge.

Time optimization: Automates some of the administrative and planning work, allowing teachers to focus more on teaching and supporting students.

How does IGNITE Copilot facilitate competency-based learning?

One of the greatest advantages of IGNITE Copilot is its ability to transform teaching planning into a more efficient process aligned with the needs of competency-based learning. Through its advanced AI, IGNITE Copilot:

Suggests multidisciplinary activities that allow students to work on projects that cover several key competencies.

Generates assessment rubrics that assess not only student results, but also the process and their ability to apply knowledge in new situations.

Provides real-time monitoring and feedback data, helping teachers adjust activities and assess progress continuously.

Conclusion

Competency-based learning is at the heart of the new educational vision promoted by the LOMLOE, and its correct implementation is essential to prepare students for the challenges of today’s world. Tools like IGNITE Copilot, based on artificial intelligence, are a valuable resource for educators, as they facilitate the planning of activities, the personalization of learning, and the assessment of students’ progress in key competencies. With their help, teachers can successfully address the challenges of competency-based teaching, offering richer, more dynamic learning experiences tailored to the needs of each student.

Para más información, puedes contactar con nuestro equipo pedagógico: hey@ignitecopilot.ai

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