As artificial intelligence (AI) evolves and becomes more sophisticated, it rapidly changes how we learn and educate ourselves. AI is increasingly used in online learning platforms and course modules, adaptive tutoring systems, assessment tools, e-learning programs, etc., to create a personalized learning experience for each student that adapts as they progress.
This helps students learn at their own pace and avoid getting stuck on difficult concepts or topics. It also allows educators to track students’ progress and better understand where they may need extra help or support. Additionally, AI can be used in collaborative settings to facilitate group discussions and project-based assignments/projects. In sum, AI has the potential not just to improve our educational system overall; but also to make it easier for both students and educators alike!
AI is Already Changing How We Learn
There is no doubt that artificial intelligence (AI) is radically changing how we live and work. But what about our education? Is AI impacting how we learn, and if so, in what ways?
One of the most obvious applications of AI in education is using it to power educational platforms or tools. For example, IBM’s Watson platform has been used for several years as an adaptive learning tool – meaning it can personalize content and exercises for students based on their needs and abilities.
This helps ensure each student gets the most out of their learning experience and minimizes frustration by providing the material that interests them. Platforms such as these are likely to become even more commonplace in future iterations of education thanks to AI’s ability to optimize itself depending on feedback data constantly.
In addition, online courses are becoming ever more popular due largely to advances made possible by AI technologies like machine learning (ML). For instance, platforms like Coursera, mentioned in Analytics Insights ranking, which offer massive open online courses (MOOCs), use algorithms to detect whether learners understand materials. If they’re struggling with a particular concept, the course will adapt accordingly, whereas those who breeze through can be offered harder challenges/more content.
How is AI seen as Biased?
There is no question that artificial intelligence (AI) is radically changing the educational landscape. However, some believe that AI may not be as beneficial to students and educators as once thought. Much of this concern surrounds the potential for bias in algorithms used by AI systems.
AI is the system able to identify people’s faces or recommend books based on their previous choices. But, as pointed by ExpressVPN, it can also inadvertently reinforce human biases if its data isn’t carefully curated. For instance, AI can make hiring recommendations based on applicant resumes that are usually prepared by white men. The system won’t realize that female candidates might have different qualifications not included in their CV because sometimes they face discrimination in the application process.
In other words, unless those creating AI-based educational tools and resources are aware of –and work to correct – any underlying biases in the data being used, marginalized groups could suffer from even further exclusion and inequality within learning institutions.
Advantages Of AI In The Educational Field
Despite concerns expressed by Education Week about potential bias in AI-driven education reform initiatives, many still feel that AI provides more advantages than disadvantages when enhancing teaching and learning practices. Here are just a few:
– Despite concerns about potential bias in AI-driven education reform initiatives, many believe that the advantages of using AI to enhance teaching and learning practices outweigh any disadvantages.
– Some advantages include more personalized instruction for students, increased flexibility for educators, and tailored resources available at a lower cost.
The existence of AI bias is a real and growing concern. Despite the many benefits that artificial intelligence can bring to education, there is a risk that it could unfairly disadvantage some students. As educators become increasingly reliant on AI tools and technologies, they must ensure that these tools do not introduce any form of unintended discrimination or prejudice into the classroom. By being aware of the potential for bias and taking steps to mitigate it, we can ensure that AI-enabled learning remains fair and equitable for all students.