Research
With MyFaculty.AI
Professors can do research with EVA
An instrumented learning environment for your own course — and your next publications.
EVA was built as a research and development program before it became a product. Behind every deployment sits one central question:
How do you 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.
A living laboratory, in your classroom
Every conversation with EVA is captured: authentic learner questions, reformulations, hesitations, follow-ups, session durations, and topic paths across a full course arc. Anonymized and consent-based, this is a structured research corpus that no classroom observation or survey could produce.
As a research partner, you deploy EVA in your own course, on your own validated materials, live within 3 weeks. You define the research question. You keep control of the pedagogy. You get the data.
No institutional procurement process required to begin — the partnership starts at the scale of a single professor, a single course, a single semester.
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 study
Instructional Intelligence When should an AI tutor explain, question, hint, or stay silent? Socratic versus direct strategies — and their measurable learning outcomes.
Process-Based Assessment In the age of generative AI, the final product — the essay, the exam answer — no longer proves that learning happened. The evidence has moved into the process. Every learning conversation with EVA leaves a trail: questions asked, concepts revisited, misconceptions corrected, progress against the course’s learning objectives across the full semester. Assessment can finally shift from judging what a learner submits to evidencing how a learner came to know — authentic, continuous, and auditable. What does trustworthy process-based assessment look like, what governance does it require, and can it stand in accreditation and academic-integrity frameworks? This is one of the defining research questions of the decade — and EVA is a native instrument for it.
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.
Relational Engagement How do learners build calibrated, healthy trust with an AI 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?
Multilingual & Inclusive Learning Course content stays the professor’s; the conversation adapts to the learner. What happens when first-generation students meet an AI tutor in their own language? And for Arabic-speaking learners in particular, this research space remains nearly empty worldwide — the institutions that study it first will define it.
Pedagogical Integrity Bias-audited, explainable, auditable AI responses — what governance framework sustains institutional trust in AI-supported teaching?
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 instance on your course, built exclusively on your validated materials
Configurable experimental variables: interface modality (voice, text, 2D — with 3D and VR expected in 2027), interaction style, scaffolding strategy, language
Full anonymized interaction logging, with end-of-study data export for your analysis
Professor Dashboard for live cohort insight and research data
IT Dashboard for your institution’s oversight
Methods documentation supporting ethics review and reproducibility
Co-development of the technical work package for your grant application
Joint dissemination — co-authored publications and presentations at international education and AI conferences and forums
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 joins grant applications as a named technology partner with a defined work package — a structure evaluators recognize and expect.
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 learners stay protected. All data is consent-based, anonymized, and hosted on GDPR-compliant infrastructure — EU, on-premise, or in-country as required.
Your institution stays in charge. Agreements are signed with the university, with full IT-level oversight through the EVA Operations Center.
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 collaborates with university research teams across Europe, the Middle East, Asia, and Africa, and partners with French research laboratories on EVA’s scientific roadmap.