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AI Solutions for Education
At SkaiLab, we create AI-driven solutions to personalize learning, automate enrollments, administrative tasks, and enhance marketing and sales.
Our intelligent technologies help streamline educational processes and keep your institution ahead in the evolving EdTech landscape.
Our intelligent technologies help streamline educational processes and keep your institution ahead in the evolving EdTech landscape.
Our AI Edtech Services
FOR PRODUCT DEVELOPMENT
Course content creation and generation
Leverage AI to automate the creation of educational materials, speeding up course development and improving content quality.
Learning and Teaching Quality Control
Analyze data to assess the effectiveness of courses and instructors, ensuring higher educational standards.
Chatbots and Virtual Assistants
Support students with automated systems that answer queries and provide educational resources.
Administrative Automation
Utilize AI tools to automate routine tasks such as scheduling, onboarding new staff, and managing day-to-day operations.
Automation of Assessment and Knowledge Evaluation
Implement AI-driven technology to automate the grading of assignments and tests, delivering faster feedback and ensuring more objective assessments.
Student Emotion and Engagement Analytics
AI systems that analyze student emotions during classes to assess engagement levels and predict potential dropouts.
Analytics and Visualization of Product Metrics
Collect and visualize data on course productivity, student engagement, and predictive dropout rates to make informed decisions for product improvement.
FOR SALES & MARKETING
Sales Quality Control Automation
Systems that monitor and analyze sales team performance to ensure high service standards.
Lead Qualification Automation
AI tools that assess and prioritize potential clients, speeding up the sales process and increasing conversion rates.
SMM Content Generation
Automated systems that create content for social media, ensuring consistent online presence.
Review and Reputation Management
Monitor student feedback and manage the institution’s online reputation.
Prospective Student Consultation Chatbots
Use chatbots and virtual assistants to help prospective students select courses and resolve inquiries.
Sales & Marketing Metrics Analytics and Visualization
Gather, analyze, and visualize marketing campaign data to evaluate effectiveness and adjust strategies accordingly.
Why Choose SkaiLab for AI Solutions in Education?
Our team of AI experts has extensive experience in creating scalable, secure, and efficient systems tailored for the education sector. Here’s why our clients choose us:
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Proven expertise in AI for educationOur team has a track record of delivering successful AI solutions that enhance learning and streamline administrative processes. -
Ongoing support and updates to ensure long-term successOur commitment doesn’t end at implementation—we provide continuous support and updates to keep your AI solutions current and effective. -
Customized solutions for institutions of all sizesWe tailor our AI-driven systems to fit the unique needs of any institution, from small schools to large universities. -
Strong focus on data security and privacyWe prioritize data protection, ensuring that all AI solutions comply with the highest standards of security and privacy for students and institutions.
OUR CASE STUDIES
Lesson quality control AI system
Developed an AI-powered system that transcribes lessons and checks them against a checklist to identify deviations from teaching guidelines, ensuring lesson quality control.
Education
Python
Whisper (OpenAI)
GPT model
MySQL
AI assistant for the online school sales department
Developed an AI assistant that provides instant access to course information, speeding up responses and reducing the sales team's dependency on the product team.
Education
Python
OpenAI GPT models
AWS
PostgreSQL
Automated student lead qualification
Developed an automated lead qualification system for an online school that analyzes sales calls to assess customer qualification, purchase likelihood, and identifies key pain points.
Education
Python
OpenAI GPT models
AWS
PostgreSQL
NLP
Student churn prediction for an online school
Developed a churn prediction system for an online school that uses homework submissions and attendance data to forecast student dropout likelihood.
Education
Python
MySQL
PyTorch
Predictive modeling
OUR BLOG
FAQ's
AI in EdTech involves the use of AI-powered technologies to facilitate learning. These technologies may include intelligent tutoring systems, adaptive learning platforms, natural language processing (NLP) models, and machine learning-based recommendation systems.
Integrating AI in EdTech involves a systematic approach. Here are steps to consider:
- Assess Needs: Identify areas where AI can solve educational challenges or enhance learning.
- Gather Data: Collect relevant data, like student performance and learning patterns, to train AI models.
- Develop AI Solutions: Collaborate with experts to build tools such as adaptive learning platforms or automated grading systems.
- Test and Refine: Pilot AI solutions, gather feedback from educators and students, and make improvements.
- Train and Support Educators: Provide training and ongoing support to ensure smooth adoption of AI tools in classrooms.
AI-driven EdTech solutions streamline educational processes, automate assessments, and provide personalized learning experiences. By reducing manual workloads and optimizing resources, AI enables EdTech businesses to achieve cost savings while maintaining high-quality education.
The time required for building an AI-Based EdTech solution depends on its complexity and specific requirements. For simpler solutions, it can take just a few weeks, while more advanced projects that involve complex integrations with existing systems can take up to 3 months or longer. The timeline also depends on factors such as custom features, scalability needs, and the level of personalization required.
AI is used in EdTech to enhance various aspects of education. Adaptive learning platforms utilize AI algorithms to personalize educational content based on a student's individual needs, strengths, and weaknesses. Natural Language Processing enables intelligent tutoring systems that can provide personalized feedback and guidance to students. AI-powered chatbots and virtual assistants assist with student queries and support.
The total cost of an AI-Based EdTech solution depends on various factors like the functionalities you are implementing, the kind of resource you are hiring, and the engagement model you choose to develop your EdTech platform. To be more precise, the more complex features and functionalities you plan to implement, the more time AI developers will be required to develop them.
Get a free consultation where we will discuss your ideas and their implementation. Reach us out via the form, and we'll get back to you in 24 hours
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