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Learning DNA EdTech

Personalised learning and AI-supported education technology — investor / partner snapshot

Problem

Learners burn out on one-size content and pacing around high-stakes exams; institutions cannot personalise without measurable learner profiles. Digital transformation stays shallow without analytics, narrative synthesis, and sustainable mentoring.

Solution

Learning DNA answers “who you are and what you need” by combining learning style, personality, and cognitive signals; exam-focused AI modules, a teacher pool, and DNA Mentor keep rhythm and morale central. Credibility is anchored in ADÜ Technopark and university-grade processes.

Product & modules

A modular platform under one roof with Gold / Gold+ memberships and B2B code access:

  • Learning DNA assessment with age-banded measurement
  • Personality inventory and unified synthesis results
  • Cognitive assessment tasks
  • Exam AI and LDNA Notebook (source-grounded study)
  • Exam readiness, daily tasks, harmony score, share cards
  • Teacher pool, live mentor requests, DNA Mentor (Gold+)
  • Professional flows: teacher and mentor dashboards
  • Admin layer for operations and analytics

Differentiation

Academic roots via the university technopark; test design grounded in learning-analytics literature; combined personality + cognitive + DNA narrative; explicit focus on protecting exam motivation; multilingual (TR/EN/AR) product surface.

Traction & visibility

  • Built and operated within the ADÜ Technopark ecosystem with academic leadership
  • International visibility around Web Summit Qatar and the QSTP orbit
  • Conference papers and interdisciplinary academic contributions
  • Patent filings for advanced versions — align wording with your official records
  • Live production: multi-module platform on learningdna.com.tr
  • Sample college implementation references surfaced on the site

Market

High-school to university prep, institutional learning, and coaching ecosystems; Turkey-first wedge with Gulf and global EdTech event expansion in view.

Global & MENA education technology (illustrative)

The chart and tables summarise typical analyst bands in rounded USD billions. Market definition (K-12, higher ed, corporate learning, content vs infrastructure) varies by publisher.

Global EdTech — scale indicator (USD bn)

20231652024188202521520262452030405

Global education technology — yearly band (illustrative)

YearSize (USD bn)
2023165
2024188
2025215
2026245
2030405

Publishers disagree on scope and CAGR (e.g. Global Growth Insights, GMI, Morgan Reed summaries often cite ~14–18% CAGR into 2030). Figures are rounded; use a purchased report or your own model for diligence.

MENA sub-regions — illustrative size (USD bn)

Region / roll-up2025e2030e
Gulf (GCC)4.58.2
Levant2.85.1
North Africa2.44.3
MENA (illustrative total)12.322.8

MENA totals in third-party reports for 2025 often cluster around low‑teens USD billions (e.g. IMARC Middle East EdTech, Grand View MEA education technology outlook). Rows are for presentation only.

Business model (summary)

Consumer memberships (Gold / Gold+), institutional B2B codes, and request-based flows for live lessons and mentoring. Move detailed financials to a data room.

Team & execution

Led by Lecturer İbrahim Engin Öztürk and Lecturer Dr. Hande Kafadar as instructional staff at ADÜ Aydın Vocational School, with measurement & evaluation, AI operations, and interdisciplinary academic advisory input.

Roadmap (summary)

Scale toward a global AI education platform anchored at Qatar Science & Technology Park; deepen modules, enterprise integrations, and continuous KVKK / data-ethics hardening.

The ask

Entry point for strategic partners, investors, or enterprise pilots; add your contact channels and book a demo / data room follow-up.

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Media

Personal pitch video

MP4 — opens in a new tab or downloads depending on your browser. Served from this site (not a local file path).