What works in Monterrey
All catalogues · Mexico profile
Quality scores are 0–100 rubric scores; “strong evidence” reflects study design; adoptions count documented replications elsewhere. Know more
Evidence snapshot for Monterrey
Tecnológico de Monterrey has systematically deployed AI-adaptive learning tools across 33 campuses, achieving measurable learning gains: CogBooks adaptive learning increased students scoring above 90 by 15%, and Adaptive Leveling Modules reached 10,350 first-year students with average score improvements of 20–48 points. The institution also operates TECgpt, a generative-AI platform released to over 90,000 students and 9,000 faculty across 26 campuses, though learning-outcome data for TECgpt is not yet published. Additionally, Tec's Dirección de Transferencia de Tecnología has transferred 49 patents and launched 28 spin-off companies since 2005, though these figures lack independent verification.
Drawn from: Tecnológico de Monterrey — AI-adaptive assessment and feedback at institutional scale · TECgpt — Tecnológico de Monterrey's In-House Generative-AI Ecosystem Lets Professors Build Their Own AI Teaching Tools · Dirección de Transferencia de Tecnología (DTT) — Tecnológico de Monterrey · FAMM — Monterrey Metropolitan Environmental Fund (Mexico)
Generated from this place's cited practices only. Always check the linked sources.
Strengths & weaknesses vs peers
Strengths
Teacher capability & pedagogy +29 pts 67 here · 37 average
Evidence of learning impact +24 pts 50 here · 26 average
Transparency, ethics & data protection +20 pts 67 here · 47 average
Water & soil — retention, infiltration, erosion control +19 pts 67 here · 48 average
Weaknesses
Inclusiveness / equity -9 pts 33 here · 43 average
Sustainability / continuity -12 pts 67 here · 78 average
Biodiversity — conservation / improvement, evidenced -15 pts 33 here · 48 average
Evidence of impact / measured results -24 pts 33 here · 57 average
Innovation -29 pts 33 here · 62 average
Score profile vs peers
Coloured bar: Monterrey. Grey bar: peer average across the corpus. Both on a common 0–100 scale.
Points compare this place's average on each dimension with the average across all evaluated places, on a common 0–100 scale. Know more
Top good practices here
Tecnológico de Monterrey — AI-adaptive assessment and feedback at institutional scale · 67
Dirección de Transferencia de Tecnología (DTT) — Tecnológico de Monterrey · 52
FAMM — Monterrey Metropolitan Environmental Fund (Mexico) · 40
Each number is the practice's overall 0–100 quality score against its catalogue's rubric. Know more
Recommended to adopt or replicate
Transferable practices from elsewhere that address this place's gaps.
Ciudad Mujer — El Salvador's Integrated Women's Services Programme · fit 100/100
- Rated highly transferable
- Backed by strong evidence
- Addresses this place's weak dimensions
Already adopted in 3 other places
SASA! Community Mobilisation Programme against Intimate Partner Violence — Uganda · fit 100/100
- Rated highly transferable
- Backed by strong evidence
- Addresses this place's weak dimensions
Already adopted in 4 other places
Karya — Fair-Wage AI Data-Work Platform Bringing Digital Income to Rural India · fit 100/100
- Backed by strong evidence
- Addresses this place's weak dimensions
safe+natal — Comadrona-Designed Smartphone Checklist for Maternal Risk Screening in Rural Guatemala · fit 100/100
- Backed by strong evidence
- Addresses this place's weak dimensions
Digital Green — Video-Mediated Agricultural Extension · fit 100/100
- Backed by strong evidence
- Addresses this place's weak dimensions
Kartu Prakerja – National Digital Skills and Financial Inclusion Programme · fit 100/100
- Backed by strong evidence
- Addresses this place's weak dimensions
Rwanda's Land Tenure Regularization Programme — Titling Land in Women's Names · fit 90/100
- Rated highly transferable
- Backed by strong evidence
- Addresses this place's weak dimensions
- Rated highly transferable
- Backed by strong evidence
- Addresses this place's weak dimensions
Already adopted in 6 other places
Fit estimates how well a practice matches this place, 0 (poor) to 100 (excellent); the list is ordered to favour practices that address this place's gaps. Know more