Implementation year
UNESCO–King Hamad Bin Isa Al-Khalifa Prize · ICT in Education
A Co-Creation Pedagogical Model with Artificial Intelligence
For the Development of Critical Thinking and Creativity in Students from Vulnerable Contexts.
AI-supported learning
Gamification
Immersive technologies
Evidence-based education
Project overview
AI as a cognitive partner, not a substitute for human thinking.
This project develops and implements an artificial intelligence-based pedagogical model that promotes critical thinking, creativity and student autonomy, especially in vulnerable educational contexts. It integrates generative AI, adaptive learning, gamification and immersive environments into active learning strategies that promote inquiry, problem-solving and knowledge co-creation.
The model guides students to formulate questions, generate hypotheses, validate information, identify bias and transform AI outputs into original academic, scientific and technological products.
Direct and indirect beneficiaries
Project team members
Indexed scientific publications listed in CV
Pedagogical model
Four learning cycles for critical and creative AI use
Question
Students formulate research questions and identify real problems from their context.
Co-create
AI is used to generate ideas, explore alternatives and build prototypes or academic products.
Validate
Learners compare AI outputs with academic sources, detect errors and refine arguments.
Share
Students communicate outcomes through projects, reports, presentations, videos and peer feedback.
Teaching strategies
Learning is structured through inquiry-based, problem-based and project-based activities. Teachers use prompt engineering, reflective questioning, comparative analysis and peer review to ensure students do not delegate their thinking to AI.
- Guided interaction with generative AI
- Source validation and bias detection
- Gamified missions and collaborative tasks
- Immersive environments for experimentation
Assessment and evidence
Critical thinking and creativity are evaluated using rubrics, pretest–posttest designs, qualitative reflections, student projects, peer feedback and observation records.
- Coherence and precision in research tasks
- Originality and depth of analysis
- Problem-solving and technological competence
- Responsible and ethical AI use
Evidence base
Scientific production, awards and documented achievements
2025
Second place, Outstanding Latin American Professor – Educational Research category.
2023
First place, International Outstanding Latin American Professor Award – Teaching Excellence.
2022
First place, Ibero-American Space Research Competition “APOLO 2022”.
2016
Palmas Magisteriales, “Maestro” degree, awarded by the Ministry of Education of Peru.
2008
First place, National Competition “El Maestro que deja Huella”, Peru.
Video evidence
Documented teaching innovation and dissemination
Recognition of teaching work
APOLO 2022 and innovation trajectory
El Maestro que deja Huella
Replicability and scaling
A low-cost model designed for adaptation across classrooms and countries.
The model is scalable through open educational resources, structured teaching guides, teacher training workshops and low-cost AI tools. Over the next 2–3 years, the project will expand through institutional collaboration, academic dissemination and mixed-methods evaluation of learning outcomes.
Target groups include secondary and higher education students, teachers and educational communities seeking responsible AI integration for critical thinking and creativity.
Contact
Dr. Benjamín Maraza Quispe
Universidad Nacional de San Agustín de Arequipa · Faculty of Education Sciences · Peru