Hugo Martins, PhD

Professional profile

AI literacy educator and Lecturer at Nanyang Technological University specialising in higher-education curriculum, assessment and responsible human–AI work. I teach CC0007 Science & Technology for Humanity and contribute to AI-enabled learning within the Core Curriculum. My work combines teaching at scale with organisational-behaviour research and applied AI, helping students build knowledge, frame problems, evaluate evidence, supervise AI-supported work and remain accountable for decisions.

Selected impact

Academic appointments and teaching impact

Nanyang Technological University — Part-Time Lecturer, Interdisciplinary Core Curriculum · 2024–Present

CC0007 Science & Technology for Humanity

• Led 42 tutorial classes, with 1,700+ unique undergraduate students.
• Co-created and delivered AI-literacy curriculum with generative AI and agentic tools embedded into weekly learning activities.
• Structured learning across foundational readiness, facilitated application and project-based mastery, moving students from guided tool use toward active auditing and agentic inquiry.
• Designed and facilitated work involving problem decomposition, information search, evidence review and synthesis, stakeholder analysis, persona-agent construction, simple agent development, and evaluation of AI-supported solutions.
• Integrated curated source libraries, citation-backed synthesis and human-intervention documentation to make data provenance, verification and student judgement visible.
• Supported a three-phase assessment path spanning collaborative research and problem framing, an interdisciplinary solution pitch, and individual synthesis and reflection.
• Designed learning around critical judgement, evidence verification, perspective-taking, responsible delegation and preservation of human agency.
• Student Feedback on Teaching averaged approximately 4.3/5, with recurring strengths around feedback, approachability, participation and analytical thinking.

CC0002 Navigating the Digital World

• Led 6 tutorial classes reaching approximately 240 undergraduate students.
• Facilitated interdisciplinary digital-literacy teaching, collaborative learning and project feedback.

National Institute of Education, NTU — Part-Time Lecturer · 2023–Present

• Taught Human Resource Management in Sport across five cohorts, reaching approximately 80 students.
• Designed case studies, role plays, assessments and rubrics around recruitment, development, performance, rewards, volunteers and organisational behaviour.
• Detailed NIE teaching evaluation: overall 4.7/5, including 4.8/5 for knowledge.

Teaching innovation and human-centred AI

My pedagogical approach treats AI literacy as more than tool proficiency. The objective is to help learners work productively and critically with AI while retaining responsibility for judgement and decisions.

• AI as cognitive augmentation rather than substitution for reasoning.
• Problem framing before solution generation.
• Inquiry-driven, project-based learning that progresses from structured guidance to open-ended application.
• Source provenance and grounded synthesis before fluent generation.
• Evaluation of AI outputs for evidence quality, assumptions, feasibility and limitations.
• Explicit documentation of human intervention, verification and accountability.
• Structured human–AI collaboration in team-based work.
• Ethical, responsible and context-sensitive use of AI.

Selected engagement

NTU Annual Learning and Teaching Conference 2026 — Competitive Roundtable Presenter

Rethinking Job Readiness: Designing Adaptive Expertise for Human–AI Work — examined how education should evolve when work is distributed across humans, agents and digital tools.

EHL × NTUitive × SGInnovate — Invited Panelist, 2026

AI Adoption vs AI Advantage in Service Operations — human-centred AI, work redesign, organisational capability and responsible adoption in service systems.

Education

PhD in Management — Organisational Behaviour

Nanyang Business School, Nanyang Technological University

MSc in Leadership and Strategy — Sloan Fellowship

London Business School

BSc in Economics

University of Porto

Professional training

• Advanced Professional Certificate in Data Science and Artificial Intelligence — NTU PACE · 2025–Present
• Graduate Certificate in Teaching and Learning in Higher Education — NIE · 2024–Present
• Advanced Certificate in Learning for Performance (ACLP 2.0) — Institute for Adult Learning · 2024
• Professional Certificate in Applied Artificial Intelligence — Republic Polytechnic / AI Singapore / Microsoft · 2020

Research expertise and methods

Areas: human-centred AI; human–AI collaboration; AI literacy; adaptive expertise; organisational behaviour; team performance; decision-making; organisational adaptation; work redesign; responsible AI adoption.

Methods: research design; data discovery and integration; statistical modelling; structural equation modelling; social network analysis; mediation; psychological measurement; experience sampling; longitudinal and hierarchical modelling; random-effects ordered probit; graph-theoretic analysis.

Software: Python, R, SPSS, SQL.

Industry experience

Business Management Consultant · 2017–2023

• Strategic advisory on internationalisation, market entry, stakeholder engagement and multi-partner execution.
• Projects spanning emerging technologies, digital business models, organisational adaptation, sport, entertainment and service innovation.

Trader — Banco Invest S.A., Portugal · 2000–2014

• Managed equity and derivatives positions, translating macroeconomic, news and market-structure signals into trade construction, sizing and risk controls.
• Developed extensive practical experience in evidence assessment, risk management and rapid judgement under uncertainty.

Selected applied AI work

• Ask-Julia — evidence-grounded conversational avatar for knowledge exploration.
• Critical Thinker — structured multi-perspective argument analysis.
• Six Thinking Hats — AI-supported group reasoning workflow.
• Generative Lesson Planner — AI-supported instructional-design workflow.

Languages

Portuguese — Native · English — Fluent · Spanish — Fluent