Research
With MyFaculty.AI
Professors can do research with EVA
An instrumented research environment for studying learning, human–AI interaction, and the future of digital teaching.
EVA was built as a research and development program before it became a product. Behind every deployment sits one central question:
How to humanize a human–AI interface to support learning?
If that question — or one of its many branches — belongs to your field, EVA can become your research instrument.
Two Ways to Research with EVA
EVA can enter a research project in two distinct ways.
EVA as a Research Instrument
A research team can deploy EVA on a validated knowledge base and use the platform to conduct controlled studies, deliver training or knowledge transfer, and collect structured interaction data under an approved research protocol. This role is not limited to education research.
EVA as a Research Object
In projects addressing AI-supported teaching, human–AI interaction, learning analytics, or digital pedagogy, EVA and its architecture become the object of study: an instrumented, deployable platform for testing hypotheses with real learners in real teaching contexts.
A living laboratory, in your classroom
Every conversation with EVA creates a rich record of authentic learner interaction: questions, reformulations, hesitations, follow-ups, session durations, and topic paths across a full course arc. EVA maintains operational learning records under the institution’s normal teaching and data-governance framework. When interactions are used for research, the relevant data can be anonymized and made available under the applicable consent, ethics, and research protocol, creating a structured research corpus for the research team’s analysis.
As a research partner, you deploy EVA in your own course, on your own validated materials, live within a few weeks. You define the research question. You keep control of the pedagogy. You get the data.
A research partnership can begin at the scale of a single professor, a single course, and a single semester, while remaining subject to the institution’s applicable academic, ethics, IT, procurement, and data-governance processes.
For institutional leaders
A research partnership is more than a professor’s project — it is an institutional position.
Institutions that host this research do not merely adopt AI-supported teaching; they help define its standards, its evidence base, and its governance.
The results feed where leadership looks: accreditation files, rankings conversations, international visibility, and the institution’s claim to shaping the future of learning rather than following it.
What
You
Can
Research
Process-Based Assessment
In the age of generative AI, the final artifact no longer proves that learning happened. EVA captures the learning process itself — questions asked, concepts revisited, misconceptions corrected, and progress against learning objectives over time. This creates a basis for authentic, continuous, and auditable process-based assessment. What governance does such assessment require, and can it support accreditation and academic-integrity frameworks?
Instructional Intelligence
When should a digital tutor explain, question, hint, or stay silent? Socratic versus direct strategies — and their measurable learning outcomes.
Embodied Presence
How do voice, 2D, 3D, and VR embodiment shape learner trust, attention, and engagement? EVA’s multi-interface design makes embodiment itself an experimental variable.
Cultural Adaptation
Should a digital tutor look, sound, and behave the same in Lyon, Dubai, and Mumbai? How avatar appearance, personality, and interaction modality should vary across cultures and geographies to support learning outcomes — studied comparatively, with the same platform deployed to distinct cohorts across countries.
Relational Engagement
How do learners build calibrated, healthy trust with a digital tutor over a full course arc — sustaining motivation without over-reliance?
Learner Analytics
Which behavioral signatures in interaction logs predict confusion, drift, or dropout risk — and how can faculty be alerted in time?
Cultural Adaptation
Should a digital teaching presence look, sound, and behave the same across cultures and geographies? EVA enables avatar appearance, personality, and interaction modality to be studied comparatively across distinct cohorts.
Retrieval & Real-Time Architecture
How can semantic routing and retrieval support real-time voice interaction while maintaining systematic hallucination control against a closed, faculty-validated corpus?
Edge Intelligence
Can a bounded academic domain be compressed into closed, sovereign models capable of operating on-premise or on-device without external cloud dependency?
Ethics of AI-Supported Teaching
Under what conditions is it legitimate for AI to support teaching? Research questions include learner consent and autonomy, dependence and over-reliance, fairness across linguistic and cultural cohorts, and institutional transparency.
Have a different question?
The menu is open. We favor complementary studies across sites — and we welcome replication: the same phenomenon observed across countries produces stronger evidence than any single study.
What a research deployment includes
A dedicated EVA deployment grounded exclusively in your validated knowledge or course materials
Configurable experimental variables: interaction modality (voice, text, 2D — with 3D and VR expected in 2027), interaction style, scaffolding strategy, and language
Research data access under the applicable consent, ethics, and research protocol, with anonymized end-of-study data export available for the research team’s analysis
Professor Dashboard for live cohort and learning insights
EVA Operations Center for institutional IT, operational, and cybersecurity oversight
Methods documentation supporting ethics review and reproducibility
Technical work-package definition and co-development for relevant grant applications
Scientific independence, with opportunities for co-authorship where the respective contributions justify it
How it works
1. Demo. Test EVA on our demonstrator course.
2. Scope. A working session to define your research question, course, cohort, and funding path.
3. Pilot. A paid entry pilot — one course, one semester — sized for departmental or discretionary budgets, signed with your university. It establishes the deployment and the first dataset while the grant application is developed in parallel.
4. Scale. A funded research deployment over 18–24 months within your grant project: multi-condition experiments, sustained deployment, data engineering, and co-publication.
Funding the research
Finding research funding is your craft; providing a credible, properly costed technology partner is ours.
MyFaculty.AI can join grant applications as a named technology partner with a clearly defined technical or research work package, depending on the objectives and structure of the project.
Our Head of Research Partnerships works alongside you at every stage: identifying the right funding vehicles, structuring the partnership and consortium, and defining the technical work packages your application needs. And the collaboration doesn’t end at deployment — we are glad to contribute to the resulting publications, particularly in the analysis of the interaction data EVA produces.
Typical vehicles our partners use:
- European programs — Horizon Europe, Erasmus+ (digital education and capacity building), COST actions
- Gulf region — QNRF under the QRDI Council (Qatar), RDIA (Saudi Arabia), KFAS (Kuwait), MoHERI block funding (Oman), and institutional research funds across the UAE
- Africa — NRF and DHET (South Africa), MRIC (Mauritius), African Union research grants, the Science Granting Councils Initiative across 15+ countries, and programs such as the World Bank’s Africa Centres of Excellence
- National agencies — ANR (France), TÜBİTAK (Türkiye), ANRF and ICSSR (India), and their equivalents worldwide
- Institutional funds — teaching innovation funds, faculty research budgets, doctoral program budgets
Built on trust
Your knowledge stays yours. Course content and the knowledge base built from it remain the institution’s property — non-transferable, never leaving its control.
Your conclusions stay yours. Research partners are free to publish their findings, including critical ones. MyFaculty.AI holds no approval rights over scientific results.
Your institution stays in charge. Agreements are signed with the university, with full IT-level oversight through the EVA Operations Center.
Your learners stay protected. Operational learning records remain governed under the institution’s applicable teaching and data-protection framework. Where interaction data is used for research, it is handled under the applicable consent, ethics, and research protocol and anonymized for research use as required. Hosting is available on GDPR-compliant infrastructure in the EU, on-premise, or in-country.
Bring your research question
We would welcome a working session with you and your research group to explore which question — yours or one from our roadmap — EVA can help you answer.
Pioneer institutions will not simply deploy AI in teaching — they will set the standards, the evidence, and the vocabulary that others follow. That is the partnership we are looking for.
MyFaculty.AI’s development network includes senior academics and education partners across multiple regions, while collaborations with French and European research laboratories are helping shape EVA’s scientific roadmap and future comparative studies.