TECgpt at Tecnológico de Monterrey: Empowering Faculty to Build AI-Powered Learning Experiences at Scale

Paola Martinez Chiñas, Director, AI in Education Ecosystem at Tecnológico de Monterrey

Edrei Robles, AI in Education Leader at Tecnológico de Monterrey

Submitted by: Paola Martinez Chiñas, Director, AI in Education Ecosystem at Tecnológico de Monterrey

Description

Domain:
Assessment & Pedagogy
Challenge Area:
Learning Design & Pedagogical Innovation
Status:
Established Best Practice (validated and replicable practices)
Implementation Complexity:
Low

Tecnológico de Monterrey developed TECgpt as a secure, institution-specific generative AI platform to support a proactive, pedagogically grounded approach to AI in education. Moving beyond a passive consumer model, TECgpt positions AI as a creative medium that strengthens faculty agency and enables the design of AI-powered learning experiences at scale. Through tools such as Skills and Agents, faculty can build customised learning ecosystems without programming expertise, while operating within an ethical, privacy-aware institutional environment aligned with teaching and learning goals.

Practical Implementation

TECgpt was implemented as a core component of Tecnológico de Monterrey’s institutional AI in Education strategy, designed to move beyond a passive consumer model toward a proactive, pedagogically grounded approach. The platform positions generative AI as a creative and pedagogical medium that strengthens faculty agency while operating within a secure, institution-specific environment.

TECgpt provides faculty with three main capabilities: 1) access to a secure conversational interface; (2) the ability to design and deploy TECgpt Skills that automate and customise pedagogical tasks; and (3) the creation of TECgpt Agents that support teaching and learning processes. These tools enable faculty to build AI-powered learning experiences without requiring programming expertise.

Pilot implementations throughout 2025 engaged faculty across high school, undergraduate, and postgraduate programmes and were supported by professional development activities, communities of practice, and ethical governance frameworks that emphasise pedagogical fluency over technical mastery. Implementation during 2025 focused on platform readiness, pilot validation, and user enablement to support effective adoption.

In 2026, TECgpt was released to the entire academic community, reaching more than 90,000 students and 9,000 faculty members across 26 campuses. The open-source release of the platform further enabled adoption beyond the institution through the Artificial Intelligence Global Education Network (AIGEN), positioning TECgpt as a scalable and replicable model for human-centred AI integration in higher education.

Impact Measurement

The impact of the TECgpt initiative is visible in the integration of educational AI tools into teaching and learning at Tecnológico de Monterrey, making these tools available to faculty and students to enhance the overall educational experience. Impact is assessed through the following indicators:

  1. Adoption across educational levels:

Impact is reflected in the growing number of users at both faculty and student levels across high school, undergraduate, and postgraduate programmes. By December 2025, more than 1,394 faculty members were actively using TECgpt to design and deploy AI-driven learning applications.

These users represent broad academic diversity, as pilot implementations throughout 2025 engaged participants from high school, undergraduate, and postgraduate contexts. In January 2026, the institution released the platform and its functionalities to all faculty members and students who choose to use it for educational purposes, in alignment with institutional guidelines and policies.

  1. Operational efficiency and teaching practice:

Impact is also measured through operational efficiency metrics, including patterns and types of use such as chat-based interactions, TECgpt Skills, and TECgpt Agents. A key outcome indicator is the reported 70% reduction in time faculty spend on repetitive academic tasks. This result supports a shift away from a model centred on content transmission toward higher-value activities, including deep mentorship, critical dialogue, and the design of complex and meaningful learning experiences.

User experience is captured through institutional satisfaction measures. During the August to December academic cycle, TECgpt received an overall satisfaction rating of 4.03 out of 5.

  1. Institutional and external scale:

Impact is further observed through the platform’s capacity for scale within the institution and beyond. Following the open-source release of the TECgpt ecosystem in September 2024, 27 educational institutions across 15 countries adopted the Open Edition and joined the AI for Global Education Network (AIGEN). This level of engagement reflects the platform’s growing influence on pedagogical innovation strategies across different educational contexts.

Enablers

  • Secure, institution-specific AI infrastructure
  • TECgpt Skills and Agent Studio
  • Strong ethical governance and data privacy framework
  • Faculty training and communities of practice
  • Open-source strategy and AIGEN global network

Files

TECgpt at Tecnológico de Monterrey: Empowering Faculty to Build AI-Powered Learning Experiences at Scale
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Worksheet: Adapting TECgpt
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