Researching with AI: How I Created a Detailed Report on the Global Impact of AI in Education with Gemini's Deep Research
Source: Dev.to
Deep Research: Accelerating Insight into AI’s Impact on Education
Deep research is the foundation of knowledge, but let’s be honest: it’s an arduous process that requires a lot of dedication and work. Gathering dozens of sources, synthesizing contradictory data, and structuring a coherent narrative can take weeks, if not months. What if we could accelerate that process from weeks to minutes?
That’s the promise of Gemini’s Deep Research feature, a tool I’ve put to the test to create a comprehensive report on one of the hottest topics of our time: the impact of Artificial Intelligence in Education.
This post is not just about the fascinating findings of that research, but also about the process itself. It’s the story of how a simple question to an AI can generate a scholarly‑quality analysis, and how we can transform that dense information into a story accessible to everyone.
How It Started
It all began with a conversation among friends about how we imagined education for this generation and the next, considering the transformative impact of AI. To add more depth and detail to our reflections, we posed a simple request to Gemini using its Deep Research option:
Prompt: “Research the global impact of AI in education.”
The tool got to work, analyzing and synthesizing information from a multitude of sources to generate a complete, structured report in about 5‑10 minutes. Below are the most revealing findings from that analysis—a body of knowledge we can now explore in a fraction of the time it would have traditionally taken, while maintaining an exceptionally high level of content quality.
1. Money Matters
The AI‑in‑education market is booming, with projections exceeding $32 billion by 2030, driven by an insatiable demand for personalized learning.
However, this dizzying expansion clashes with the vision of organizations like UNESCO, which advocate for a human‑centered and ethical approach. Technology moves much faster than policy and regulation. A 2023 survey revealed an alarming fact:
- Only 10 % of schools and universities worldwide have an official framework for the use of AI.
This creates a “gulf between policy and practice,” where risks are not being addressed in day‑to‑day use.
Quick Overview: I used NotebookLM (recalling what I learned in the NotebookLM post on Datalaria) to generate a video summary of the key points from this report. You can watch it here:
[Video Summary of the AI in Education Report](#)
2. Global Adoption: Values & Geopolitics
The way each country adopts AI in its classrooms reflects its values and geopolitical ambitions. The classroom has become a new stage for global competition.
| Country | Strategy & Highlights |
|---|---|
| China | • Centralized, mandatory AI education starting 2025. • Minimum 8 hours of AI instruction per year. • Primary students focus on robotics; secondary students tackle advanced projects and algorithms. |
| Singapore | • Integrated into the “EdTech Masterplan 2030.” • Systemic approach with strong R&D investment. • National Student Learning Space (SLS) platform enhanced with AI tools. • Pilot: Adaptive Learning System for mathematics in 33 schools since 2023. |
| Finland | • Ethics‑first, data‑privacy‑centric strategy. • Emphasis on teacher training and AI literacy for all citizens. • World‑renowned “Elements of AI” course (University of Helsinki). • Requires ethical reviews for tools like ChatGPT in classrooms. |
| United States | • Federal structure → no single mandate. • Incentives & public‑private partnerships create a patchwork of policies. • Initiatives like the “Presidential AI Challenge.” • Varied reactions: large districts (NY, LA) initially banned ChatGPT, later reversed the decision. |
3. Does It Really Work? The Scientific Evidence
Beyond money and policy, does AI improve learning? Science says yes— emphatically.
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2025 meta‑analysis: Very large positive impact of AI on educational outcomes (Hedges’ g = 0.86).
- Interpretation: In social research, 0.2 = small, 0.5 = medium, >0.8 = large effect. An effect of 0.86 is considered large, providing strong evidence that AI boosts learning.
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Impact drivers:
- Active & personalized learning → greatest gains.
- Chatbots & generative AI → most substantial impact.
- Passive platforms → more modest effect.
Teacher Roles: Myth vs. Reality
One of the greatest anxieties is whether AI will replace teachers. The research consensus is a resounding no. Instead, teachers’ roles are being fundamentally redefined—from the “sage on the stage” to the “guide on the side.”
- AI tasks (e.g., grading, lesson planning) can save up to 90 % of the time.
- Freed time allows teachers to focus on uniquely human aspects of education that AI cannot replicate.
Key Facets of the New Teacher Role
- Facilitator of Critical Thinking – prompting students to question, analyze, and synthesize AI‑generated content.
- Curator of Learning Pathways – using AI insights to personalize curricula while ensuring ethical standards.
- Mentor & Emotional Support – providing empathy, motivation, and social‑emotional guidance.
- AI Literacy Coach – teaching students how to interact responsibly with AI tools.
4. Takeaways
- Speed – Deep Research can turn weeks of manual synthesis into minutes without sacrificing depth.
- Quality – The generated report maintains a scholarly standard, backed by recent meta‑analyses and policy data.
- Actionability – Insights are organized by market trends, policy landscapes, country strategies, and empirical evidence, making them ready for decision‑makers, educators, and researchers.
Want to Dive Deeper?
- Full Gemini Deep Research Report – [Link to the original report]
- Video Summary – [Watch the video]
- NotebookLM Notebook – [Explore the interactive notebook]
Feel free to experiment with Gemini’s Deep Research yourself. A simple prompt can unlock a wealth of knowledge—turning dense, fragmented information into a coherent story that anyone can understand. Happy researching!
Facilitators of Learning
Instead of being the main source of information, they will guide students through complex learning experiences, helping them ask the right questions and critically navigate the content AI provides.
Content Curators
They will be responsible for selecting, evaluating, and adapting AI‑generated material to ensure it aligns with pedagogical goals and the specific needs of their students.
Mentors of Social‑Emotional Skills
Freed from administrative tasks, they can devote more time to fostering empathy, collaboration, critical thinking, and creativity—essential skills that AI cannot teach.
Designers of Learning Paths
They will collaborate with students to map out personalized educational trajectories that align with their strengths, interests, and career aspirations.
The Training Gap
This transformation presents an immense challenge: the training gap among educators themselves. The report identifies this deficiency as the biggest bottleneck to effective AI integration. Without proper training, teachers cannot responsibly integrate these tools or teach their students to use them critically.
Risks Requiring Proactive Management
| Risk | Description | Example |
|---|---|---|
| Algorithmic Bias | AI systems trained on biased data can amplify discrimination. | AI detectors have been shown to be biased against non‑native English speakers. |
| Data Privacy | Public trust is low; nearly 70 % of parents oppose AI accessing their children’s data. | — |
| Cognitive “Deskilling” | Over‑reliance on AI could erode critical thinking. | An MIT study found that students who used ChatGPT to write essays showed lower brain engagement and weaker memory recall, suggesting deep cognitive processes were being bypassed. |
Scientific Consensus
- Positive Impact – When implemented thoughtfully, AI integration in education has a strong, significant positive impact on learning outcomes and student motivation.
- Balanced by Risks – The same potential is tempered by risks such as algorithmic bias, data privacy concerns, and equity in access.
- Stakeholder Views – Both students and teachers recognize AI’s benefits but express deep concern about erosion of critical thinking, academic integrity, and their own lack of training to integrate these tools effectively and ethically.
Three‑Tiered Call to Action
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Policymakers
- Develop clear ethical and legal frameworks.
- Invest in closing the digital divide to avoid a two‑tiered education system.
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Educational Institutions
- Establish transparent usage policies.
- Prioritize AI literacy for the entire community.
- Ensure a “human in the loop” for high‑stakes decisions.
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Educators
- Embrace the new role as facilitators.
- Model critical use of AI.
- Focus work on fostering skills that machines cannot replicate.
Reflections on Gemini’s Deep Research
This post summarizes research conducted by Gemini’s Deep Research. The experience demonstrates the power of tools like Deep Research to democratize access to deep knowledge.
What the Tool Suggests After Research Completion
- Create a webpage with the information.
- Generate an executive summary.
- Produce an audio summary or podcast.
- Develop a quiz to assess comprehension.
AI not only researches for you; it also helps you communicate the results.
Key takeaway: The challenge is not technological but pedagogical and human—leveraging these tools to enhance our intelligence without diminishing our humanity.
Gemini: Gemini page for chatbot use with the Deep Research option.