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Globe.GenAI
Globe.GenAI

The Project

How are students actually
experiencing the use of

Generative Artificial
Intelligence at the university?

How are students actually
experiencing the use of

Generative Artificial
Intelligence at the university?

THE SOLUTION

Our project brings together global institutions to bridge this gap. We want to understand the benefits, challenges, and ethical issues through a multicultural, human-centered lens.

THE ISSUE

Although AI is already present in higher education, most of the discussion focuses on the technology. In practice, these tools are already changing the learning process, but students’ voices are still largely unheard.

THE ISSUE

Although AI is already present in higher education, most of the discussion focuses on the technology. In practice, these tools are already changing the learning process, but students’ voices are still largely unheard.

THE SOLUTION

Our project brings together global institutions to bridge this gap. We want to understand the benefits, challenges, and ethical issues through a multicultural, human-centered lens.

Mission

To advance the understanding, responsible use, and effective integration of Artificial Intelligence in education through global collaboration, evidence-based research, and the promotion of inclusive, high-quality learning in diverse educational contexts.

Mission

To advance the understanding, responsible use, and effective integration of Artificial Intelligence in education through global collaboration, evidence-based research, and the promotion of inclusive, high-quality learning in diverse educational contexts.

Values

Scientific Excellence

We are committed to rigorous, evidence-based research that advances knowledge at the intersection of Artificial Intelligence and Education.

Ethic & Responsibility

We promote the ethical, transparent, and responsible use of AI, while respecting privacy, academic integrity, and human values.

Global Collaboration

We promote international partnerships and the exchange of knowledge among countries, cultures, and institutions.

Inclusion & Diversity

We value cultural, linguistic, and educational diversity, ensuring that different perspectives are represented and respected.

Innovation in Education

We encourage innovative approaches that enhance teaching and learning through emerging technologies.

Impact & Relevance

We seek to make a significant impact by guiding educational practices, public policies, and institutional strategies around the world.

Values

Scientific Excellence

We are committed to rigorous, evidence-based research that advances knowledge at the intersection of Artificial Intelligence and Education.

Ethic & Responsibility

We promote the ethical, transparent, and responsible use of AI, while respecting privacy, academic integrity, and human values.

Global Collaboration

We promote international partnerships and the exchange of knowledge among countries, cultures, and institutions.

Inclusion & Diversity

We value cultural, linguistic, and educational diversity, ensuring that different perspectives are represented and respected.

Innovation in Education

We encourage innovative approaches that enhance teaching and learning through emerging technologies.

Impact & Relevance

We seek to make a significant impact by guiding educational practices, public policies, and institutional strategies around the world.

Timeline Globe

GenAI

Wanna be a part of that history?

2025
December
Phase 1: Conception

The project takes shape through the initial development of the research idea, the formation of the core team of lead researchers, and the definition of its global scope, objectives, and fundamental research questions.

2026
February
Phase 2: Research Group Name Selection

The research group’s name is selected through a democratic voting process, with all members invited to participate and contribute to defining the group’s identity.

March
Phase 3: Research Structure & Ethics

Development and refinement of the research protocols, followed by submission to the relevant Ethics Committees across participating partner institutions worldwide. This phase ensures compliance with international ethical standards and establishes a strong framework for responsible and ethically sound research.

June
Phase 4: UNICAMP Ethics Approval

Obtaining approval from the UNICAMP Research Ethics Committee, ensuring that the study meets the required ethical standards and regulatory requirements for research involving human participants.

July
Phase 5: Global Expansion, Cultural Adaptation & Ethics

Expansion of the project through the engagement of partner universities across Africa, Asia, Europe, the Americas, and Oceania.

This phase includes the translation and cultural adaptation of the research instruments, as well as the submission and approval of the study by the relevant Ethics Committees at participating universities, ensuring that the research meets local requirements while maintaining internationally consistent ethical standards.

September (Projected)
Phase 6: Data Collection
Active fieldwork begins with the global distribution of the research surveys and the conduct of focus groups with students from diverse cultural, educational, and geographic contexts. This phase focuses on gathering rich, cross-cultural data to better understand students’ experiences, perceptions, and practices regarding Generative AI in higher education.
2027
Abril 2027
Phase 7: Data Analysis & Publication

Analysis of the collected data using mixed-methods approaches, integrating quantitative and qualitative findings to identify global and regional patterns. This phase also marks the beginning of the preparation and publication of regional reports and the Global Report, highlighting key findings across diverse cultural and educational contexts.

CONNECT WITH US

See also who is already participating
in this project.

ABOUT US

See also who is already participating
in this project.

ABOUT US
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