Applications and Effects of AI in Education

AI and education, desk companions

The education sector also wants and must adapt to new times and implement new techniques that use artificial intelligence. The dizzying changes that our 21st century society is experiencing leave no time to adapt to the frenetic pace of new technologies. It is difficult to find the right balance to be able to face the new scenarios that life presents.

In the educational sector, AI technologies can offer support for learning and students’ academic progress. Their intended uses include:

1. Reduce barriers to access to education.
2. Automate administrative tasks.
3. Optimize teaching and learning processes.

What are the advantages of applying AI in education?

• Implementation of adaptive teaching systems. Through intelligent tutoring platforms and systems that offer personalized trajectories based on the student's profile. For example, the application of Liulishuo , used in China, or M-Shule used in Kenya.

• increase of platforms for collaborative work that enable asynchronous discussions. When well designed and supported by teachers, these spaces can encourage communication, conflict resolution and shared learning.

• The incorporation of the gaming platforms as learning experiences. AI can adapt difficulty or enable natural-language interactions. These applications need evaluation; facial expressions do not reliably establish a student’s emotional state or learning.

• Using AI to support specific educational needs. Some research explores ways to identify support needs, but educational apps do not replace professional assessment for dyslexia, autism or ADHD. In a different area, language-learning apps such as Liulishuo can provide real-time feedback on pronunciation.

• Time saving for teachers in relation to the management and administration of processes.

What disadvantages or impediments to the implementation of AI do we find?

• Many educational centers are still reluctant to use new technologies and implement new AI tools.

• You have to have access to devices and internet connection that meet the needs of the planned activities; requirements vary by tool.

• The excess of these new strategies and applications leaving aside the educational experience balanced with traditional learning would be a mistake.

• The protection of student privacy : these applications can increase the collection and exposure of personal data about students and their families.

• The differences between socioeconomic status between families, which can widen gaps in access and use.

Conclusions

Introducing AI requires addressing its risks and teaching students and staff about its use, limitations and handling of data. With appropriate design, these tools can help personalise activities and learning paths, but improvement is not automatic: it must be assessed against educational goals and observable results.

There is still much to learn about integrating AI into education. Limited resources and unequal access call for investment, support for teachers and accessible alternatives. Progress means more than adding technology: it means checking whom it helps and which barriers remain.

Bibliography

1.- Jara, I.; Ochoa, J. M. Usos y efectos de la inteligencia artificial en educación. Inter-American Development Bank, 2020. doi:10.18235/0002380.

2.- Giró Gràcia, Xavier Sancho Gil, Juana María. Artificial Intelligence in education: Big data, black boxes and technological solutions. RELATEC-Latin American Magazine of Educational Technology. RELATEC Vol.21, number 1 (2022).

3.-To know more about the Liulishou application: https://www.liulishuo.com/en/

4.-To know more about the M-Shule application: https://m-shule.com/

Written by

Eva Arnall

Saturdays.AI

Saturdays.AI is an impact-focused organization on a mission to empower diverse individuals to learn Artificial Intelligence in a collaborative and project-based way, beyond the conventional path of traditional education.