[People sitting while using laptop computers inside room, Photo Credit to pickpik]

Finally, Artificial Intelligence (AI) technology has become popular and useful in education nowadays.

The world’s education system, which operates in various types of tutoring places, finally adopted AI technology.

AI plays an important role by being applied to analyze students’ learning habits and patterns, and offering personalized learning guidance .

AI resolves large datasets of text and these datasets are used to learn about languages, structure, and calculations.

Schools that use AI education may notice that it builds a system that promotes effective learning by identifying each student’s level and providing suitable, accurate feedback.

Customized learning, adoptive learning, interactive learning, and fast and accurate feedback are big strengths of AI education and also reasons why schools are looking for AI systems.

Recently, a new type of AI called generative AI started being used in education for higher accomplishments.

Generative AI refers to deep learning models that, when given raw data, may "learn" to produce statistically likely outputs.

Examples of such raw data include the entirety of Wikipedia or the collection of works by Rembrandt (IBM).

With instant feedback and support, generative AI may modify instructional content to fit each learner’s interests, study pace, skills and learning preferences (UNESCO).

Users who use AI programs for their education can immediately feel that the major strength of AI, which is a very correctable answer, became maximized and developed with Generative AI.

Users who experienced generative AI before accepting this interactive approach report that it improves learning and meets the demands of a variety of learners, including those with disabilities.

The main clear reason for differences between normal AI and generative AI is that traditional AI demonstrates its strength in task solving , rule-based decision making, fast identification and logical reasoning.

Furthermore, Generative AI is both useful and able to be an interesting source when providing things that should have innovative creativity and new and fresh opinions (Singh).

Since both types of AI have remitted options and standards, none of those features can make users pick only one AI. It will not make them satisfied and have the best results.

This information will make people become curious about the case where there are two different AI types with different characteristics. In this situation, which one will help make a brighter future or help us get a better quality answer?

According to a website which gives information related to generative AI’s future, it mentioned that one impactful reason why generative AI became famous nowadays is because, by producing original and genuine material, generative AI technology has the ability to completely transform a number of sectors. (SG analytics)

The world’s education standards have expanded and are more clever than before, art and other physical activities are also included in education often.

Generative AI will change education, creativity, and innovation in a variety of insightful ways. This also includes art, creative development, and new math formulas.

Also generative AI will obtain a perfectly correct record and make plans that fit for people who are doing physical activities.

Schools that adopt generative AI and use it for student’s greater development believe that the shift to generative AI represents a significant advancement in our capabilities.