Created by Startik AI Coaching
The Future of AI Content
Startik AI Coaching provides cutting-edge AI learning coaching services by utilizing video content from educational institutions. Educational institutions can provide diverse AI learning experiences to learners, significantly increasing learning satisfaction.

3 Benefits of Startik AI Coaching
01. Improved learning satisfaction
Now, simply providing online content is no longer enough to provide a competitive learning service. Startik AI Coaching can significantly improve learning satisfaction by providing customized learning experiences such as real-time feedback, in-depth Q&A, and coding practice that were not possible with existing video content.
02. Utilizing existing video content
You can provide various learning services to learners by utilizing existing video content that educational institutions already have. In addition to video content, Startik.ai can create more in-depth AI content and provide learning services by providing the educational institution’s homepage, documents, databases, lecture videos, and learning topics.
03. Educational institution server connection
Startik AI Coaching can be easily integrated with the educational institution's server. If there is no practitioner who can do the work on their own, Startik.ai's experts can take care of the work that the educational institution needs.


Key features of Startik AI Coaching
01
Educational material Q&A
Provide real-time answers: Leverage AI coaching to provide real-time answers when learners ask questions about video content, allowing learners to get their questions answered immediately.
Discussion-style class progress: AI coaching remembers past Q&A with learners and uses it to answer new questions from learners. This enables in-depth discussions on specific topics.
Personalized learning support: AI coaching analyzes learners’ question patterns to provide personalized learning support. For example, based on the questions they repeatedly ask, it can identify learners’ weaknesses and suggest additional materials or learning paths.
02
Problem Solving Explanation
Provide step-by-step solutions: AI coaching can explain the problem-solving process step by step. It provides reasons for why a particular method is used at each step, allowing learners to improve their problem-solving skills.
Offer multiple approaches: AI coaching can offer multiple approaches to solving a problem, allowing learners to learn different methods and choose the most effective one.
Instant feedback: AI coaching can provide immediate feedback to learners after they solve a problem. Not only does it tell them whether their answer is correct, but if it is incorrect, it also provides a detailed explanation of what went wrong, helping learners correct their mistakes.
03
Code Executor
Real-time code compilation and execution: The AI Coaching Code Runner allows learners to compile and execute their code in real time, allowing learners to immediately see and modify the behavior of their code.
Diagnose and fix code errors: AI coaching can diagnose errors that occur in your code and suggest causes and solutions. This helps beginner programmers quickly fix common grammar and logic errors.
Code Optimization and Performance Analysis: AI Coaching can analyze the performance of written code and suggest optimization methods. This helps learners learn how to write efficient code and improve the execution speed or memory usage of the code.
04
Learning Achievement Analysis
Learning data collection and analysis: AI coaching can collect and analyze learners' learning activity data to evaluate their learning achievements. This allows learners to objectively understand their learning progress.
Suggest personalized learning paths: AI coaching can suggest personalized learning paths based on the results of analyzing the learner's achievements. This improves learning efficiency by providing the optimal learning path considering the learner's strengths and weaknesses.
Predicting learning outcomes: AI coaching can analyze learners’ past learning data to predict future learning outcomes. This can help learners plan their future learning and request additional learning support when needed.