AI impact on education

• The study analyzes how artificial intelligence (AI) impacts education
• The study is a review article in the field of pedagogy
• DOI: 10.26820/reciamuc/8.(1).ene.2024.62-70
• URL: https://reciamuc.com/index.php/RECIAMUC/article/view/1240

Impact of AI on education

• AI expands across professional fields, causing a revolution in education
• AI can adapt to different environments
• AI can be configured in the educational field so it remains in constant innovation
• AI can be used in efforts to optimize learning
• AI allows for a more attractive way of educating, moving away from a monotonous, outdated approach

How AI is Understood

• AI is understood to Be a discipline that configures machines to be intelligent
• AI machines must be able to solve problems by anticipating the surrounding environment
• Adaptation and pattern learning help AI solve the problems and anticipate the environment.

Current AI use

• Some educational institutions use chatbots or virtual tutors to interact with students
• Chatbots and virtual tutors optimize student learning by monitoring their progress
• Chatbots and virtual tutors evaluate tasks and provide instant support
• Machine Learning (ML) can construct mathematical models from registered data
• Machine learning can make predictions and decisions, emulating human intelligence
• Machine learning can be used without pre-programming
• Machine Learning is effective in education for predicting student performance and planning lessons
• Machine learning can update teaching models based on student evolution
• Machine learning is able to update educational content and activities

Tools used in AI Education:

• Data mining and learning analytics analyze student data to identify patterns
• Patterns in academic performance, behavior, and interaction can be spotted to assess students
• Multi-agent systems create intelligent tutoring systems for real-time interaction and personalized help
• Neural networks are used for data classification, learning pattern identification, and voice/text recognition systems

How The Learning Experience is Personalized

• Fuzzy logic models uncertainties and creates adaptive evaluation systems
• Bayesian systems support decision-making and model uncertainties in educational content recommendation systems
• AI is used in adaptive evaluation systems to personalize the learning experience
• Individualized educational environments can be created to adapt to each student’s rhythm and learning style
• Materials and activities are tailored to specific student requirements
• AI systems provide instant, accurate feedback
• Students can correct mistakes and efficiently improve understanding

Ways to Conceive of AI

• Development of intelligent technological devices that serve as a tool for professionals in different applied scientific fields.
• As a phenomenon that reconfigures how higher education students and teachers learn and teach.

How AI Can Facilitate Education.

• IA gathers the information from the students regarding preferences, performance to offer custom content.
• AI promotes and supports the students in learning in an effective way to adapt to learn of each individual student's abilities

Tutor Support

• Virtual assistance and the IA offer tutor and feedback to students in an instant
• Virtual assistants can provide responses, resolve any doubts of any topic and give a detailed explanation to students.

Intelligent Educational Resources

• IA push the interactive educational resources and adaptive mode to accommodate individuals requirements
• Promote virtual and environments and stimulate to learn more

Ethical Concerns:

• Privacy and data security must be ensured.
• The digital gap and unequal tech access need to be deal with
• Maintaining the balance between automatization and human interactions, social and emotional skills must be maintained.

Summary of opportunities:

• Adapting education to the student’s learning behavior, strengths, and weaknesses and provide feedback, improving the educational experience
• Automating of administrative tasks frees up teachers for creative teaching and value-added activities

Ways to Use IA Appropriately:

• The students requirements must understood
• Support the students, understand their knowledge and develop their skill
• Promote ethics and must be reliable with the tools online
• Constantly evaluate and improve the student impact and learning knowledge
• Incorporate ethical aspects of AI in education to be responsible

Personalize leaning methods:

• IA helps to accommodates content to the learning skills for students
• Important tools help customize learning,
• Helps improves to improve the student skill and abilities
• Can allow all styles learning by the student

Other aspects of IA

• Can encourage the student to have creativity
• Is essential and holistic to ensure the ethical implementations
• Can have social impacts to the environment in a positive way

The role of IA in online educational has main roles:

• Universal accesses, it helps that the class should be available for everyone, especially those who have any special needs
• Assistance by an IA to tutors, the system have the potential to provide responses without falling into bias comments
• New pedagogical models for IA, can assist the new reality of the students and can be improved
• Is legal since is has intellectual rights
• Development plans can ensure that these should ensure artificial intelligence
• Ethical challenges, provide a data treatment

Conclusion

• IA has a important role since provide a large data that can be accessed by everyone especially those with specific needs, adapt a continuous innovation, to improve learn methodologies.