The use of deep learning for educational purposes alters the way people teach. In order for this to happen smoothly without losing its current form or characteristics, it is important that we comprehend how artificial intelligence affects schools’ transmission systems. Artificial intelligence where teachers work with students, as well as intelligent tutoring systems, automated evaluation processes, and personalized means of learning. However, the use of AI in education includes ethical matters and future prospects regarding its applications. The advantages of AI in education are:
1. AI Assessment in Education
The integration of AI in education holds promise in revolutionizing the assessment and analytics landscape. AI-enabled assessments offer educators invaluable insights, from pinpointing learning trends to supporting the evaluation of non-standardized tests. Educators can expedite the assessment process, offering timely feedback to learners and facilitating more focused engagement. They can identify strengths and weaknesses in student performance, allowing for targeted instructional strategies.
2. Improved Learning Results
Student learning outcomes can be highly elevated by AI in education which provides personalized learning experiences with the help of knowledge tracing and collaborative filtering. Customizing learning experiences for specific student needs is possible with AI technology. Thus, it can lead to more motivated students who remember information better and eventually achieve greater academic success.
3. Tailoring Learning Content & Experience
Extensive research has shown that personal tutoring can enhance learning outcomes, where tutored students have been outperforming 98% of their male counterparts in traditional classrooms. Educational technology can help it become student-centered learning by personalizing the experience to meet each individual’s needs and improving their performance by catering to different areas of study. Interfaces that can be adjusted become helpful tools for students with neurological impairments.
4. Access to Quality Education for Everyone
In many developing countries, lack of access to quality education is the main issue. Since education is a critical engine for economic development, universal education brings huge benefits to individuals as well as countries’ economies. The introduction of artificial intelligence into learning processes worldwide today makes it possible for students from all walks of life to learn without limitations. Besides transcending geographical differences, AI-driven teaching equipment is able to break barriers related to income class and language hence ensuring equitable information sharing. While looking at distance education through advanced technologies deployment issues must be put into consideration when developing countries are involved.
There are major ethical considerations of AI in education as follows:
- Plagiarism and academic integrity loss
- Discrimination and Bias towards one particular agent paying more money to the supplier
- Security and No data privacy
- No interconnected teacher-student relationship
With its ability to scale, AI can benefit large portions of society thus providing high-quality education around the globe. Despite its potential for making a positive change in education, it is important to keep in mind that there are certain risks involved with misusing AI. To face challenges raised by advancing technology. AI literacy should be a crucial topic in school programs together with ethics-related content. Educators may need to create plans geared towards inclusive classrooms that resonate with today’s diverse students.
