OrixAI Education Report: How Students Use OrixAI to Learn Smarter and Faster
- Chisom Ugonna
- Apr 16
- 5 min read
In the evolving landscape of education, AI is no longer a futuristic luxury — it's a present-day necessity. At the forefront of this transformation is OrixAI, Univad’s proprietary AI assistant. Originally designed to support Univad learners within the virtual campus, OrixAI has grown into a widely used academic companion for students across various universities and institutions globally.
From navigating assignments to career planning and CV reviews, OrixAI is redefining what it means to be a modern learner. In this special edition of the Univad Education Report, we dive deep into the global usage patterns of OrixAI — backed by data, user insights, and platform metrics.
Global Reach: OrixAI Beyond Univad
While Univad students remain at the core of our design and training feedback loop, OrixAI’s user base has expanded significantly. In Q1 2025 alone, over 82,000 users from 42 countries accessed OrixAI tools through the Univad platform, API extensions, and partner integrations. Among these:
37% were students from non-Unisav institutions
16% were young professionals in transition or upskilling
47% were enrolled in Univad's diploma or short course programs
Students from institutions such as University of Nairobi, Covenant University, University of Delhi, and even MIT OpenCourseWare learners have interacted with OrixAI via open tools like the CV Analyzer, AI-Powered Coding Room, and Career Path Planner.
Top 6 Use Cases: What Are Students Using OrixAI For?
OrixAI was not built to “impress,” it was built to assist. And our data proves it's doing exactly that.
Assignment Help & Learning Aid (52%): Students use OrixAI to break down complex assignments, understand difficult concepts, and review explanations in simplified language. Flux-powered real-time assistance reduces learner frustration and improves knowledge retention.
AI-Powered CV Reviews and Resume Building (18%): OrixAI’s CV Review tool has analyzed over 19,000 CVs since January 2025. Among those, over 60% were submitted by students outside Univad. The tool gives smart feedback, ATS-compliance checks, and tailored improvements for various job markets.
Career Path Planning (11%): Whether it's a student confused between frontend development and UI/UX, or someone pivoting from health sciences to data analytics, OrixAI guides learners based on industry data and career growth potential.
AI-Guided Console Coding (Coderoom) (9%): Coderoom, our AI-assisted coding environment, has seen 14,000+ active users in Q1 alone. Learners practice JavaScript, Python, and HTML while receiving real-time, contextual guidance.
Skill Analysis and Course Recommendations (7%): OrixAI now evaluates user skillsets based on quiz results, assignments, and profile data to recommend future learning paths. Over 22,000 tailored recommendations have been served this quarter.
General Support & Navigation (3%): From answering questions about lecture times to helping students find resources or troubleshoot technical issues, OrixAI serves as the all-knowing digital assistant for learners.
A Student-Centric AI, Trained on Real Education Problems
Unlike general-purpose models, OrixAI’s training corpus includes real student interactions (anonymized), structured curricula from Univad, and global educational data. Every feature — from Coderoom's intelligent prompt detection to the CV Analyzer’s regional job market optimization — is built with academic and career readiness in mind.
Dr. Raymond Olumo, Head of AI Systems at Univad, stated:
“We didn’t train OrixAI to pass exams. We trained it to empower learners to think, solve, and grow — with context, clarity, and confidence.”
What the Data Tells Us
Here are some interesting behavioral stats from our latest report (Jan–March 2025):
Avg. Session Duration: 18.7 minutes
Most Active Days: Tuesdays & Sundays
Peak Countries (Outside Nigeria): India, Kenya, Ghana, Philippines, UK
Fastest-Growing Tool: CV Analyzer (4.6x growth in 60 days)
Highest Retention: Students who used Coderoom alongside course videos completed 2.3x more modules
Limitations
Our analysis is grounded in real-time interaction data across thousands of global users on the OrixAI platform. While this brings strong empirical relevance and applicability to actual learner behavior, the findings must be understood within a few important limitations:
First, our dataset disproportionately reflects early adopters of AI in education—students and professionals who are already tech-forward and more inclined to explore AI-assisted learning tools. As such, our insights may not yet represent the behaviors or attitudes of the broader student population, especially in regions or institutions where digital literacy or access to tools like OrixAI remains limited.
Second, while we track comprehensive usage within the OrixAI ecosystem, we recognize that many students also use external AI tools like ChatGPT, Gemini, or institutional AI tutors. Our findings, therefore, provide a focused but partial view of learners’ total AI engagement. Additionally, due to privacy safeguards and ethical considerations, we do not trace the downstream usage of OrixAI outputs — for instance, how students refine, apply, or evaluate the AI’s suggestions in their academic work.
Lastly, while we’ve employed intelligent classifiers to distinguish student interactions from those of staff, faculty, or non-academic users, our models may produce occasional misclassifications. Moreover, our disciplinary tags—used to categorize AI usage by field of study—may struggle to capture interdisciplinary or hybrid learning paths that are increasingly common among modern learners. Institutional policies around AI use, academic integrity, and platform access also vary significantly and may influence usage patterns in ways our current data cannot fully capture.
Disciplinary Trends in AI Interaction: A Closer Look
Patterns of AI usage diverge significantly across academic disciplines, with student behavior reflecting the distinct cognitive demands of each field. In STEM-heavy domains such as Mathematics, Physics, and the Natural Sciences, the dominant mode of interaction is problem-solving. Students frequently use OrixAI for structured walkthroughs of equations, statistical computations, and technical problem sets—often seeking multi-step reasoning rather than simple answers. This points to a growing reliance on AI not just as a tool for automation, but as a thought partner in complex quantitative reasoning.
In fields like Computer Science and Engineering, the dynamic shifts slightly. While problem-solving remains prevalent, there's a notable uptick in collaborative engagement. Students initiate back-and-forth conversations with OrixAI to debug code, refine algorithms, or simulate system behaviors. These interactions often mimic peer review sessions, where AI acts more like a co-engineer than a static assistant.
Conversely, in Humanities, Business, and Health Sciences, AI usage is more balanced between collaboration and direct prompting. Here, OrixAI is frequently tasked with assisting in content generation, rewriting, ideation, or ethical evaluations. Students in these fields seem to favor AI as both a creative sounding board and an editorial aid—especially for tasks involving persuasive writing, case analysis, or scenario modeling.
Education majors, interestingly, stand out for their disproportionately high use of OrixAI in generating outputs—lesson plans, instructional materials, rubrics, and learning guides. In fact, 74.4% of AI interactions from users in the Education field were dedicated to resource creation. It's worth noting that this could also reflect dual-role users—teachers or instructional designers using OrixAI within the broader education ecosystem.
These insights reinforce a crucial idea: meaningful AI integration in education cannot follow a one-size-fits-all approach. The needs of a biochemistry major differ vastly from those of a student in media studies or early childhood education. As our data continues to grow, we anticipate even deeper insights into how AI like OrixAI can be intelligently tailored to subject-specific learning needs and workflows.
Closing Thoughts: A New Model for Learning
Education isn’t about memorizing facts — it’s about access, support, and clarity. And that’s exactly what OrixAI delivers. It is not a replacement for education, but a force multiplier — a learning copilot that adapts to each student’s pace, background, and future ambition.
As we continue to build and iterate, our goal remains clear: to offer the most student-aligned AI education companion on the planet — accessible to all learners, regardless of where they school.
“The future of education is not just digital — it’s intelligent.”— Mike Ikenwa, Founder & CEO, Univad
Explore More:
Try OrixAI tools here: https://www.univad.org/orixai
Read about our AI evolution: https://www.univad.org/about/ai
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