In recent years, the innovation and use of artificial intelligence tools, like ChatGPT, has been transforming the way we approach education. While AI tools may be able to write code, students learning software development have to know what they are looking at; if you are unable to break down the code, you are unable to identify any errors. As such, Momentum strictly prohibits students from using AI tools like ChatGPT to write code, regardless of whether or not they are able to detect accuracy and explain functionality.
Below, we further explore how artificial intelligence in education is impacting the classroom environment and why educators should consider setting necessary boundaries in their teaching practices to ensure students are truly learning the material.
Benefits and Drawbacks of Artificial Intelligence in Education
The use of AI in the classroom environment can provide many benefits, like real-time feedback and increased collaboration, however, there are also a few causes for concern to point out.
One of the key advantages of using AI in the classroom is the ability to provide personalized learning experiences. By tailoring responses to each student’s needs, AI can help students better understand complex concepts, work through challenging problems, and receive feedback that is specific to their individual learning styles.
Another major benefit of using AI in the classroom is the ability to provide real-time feedback. As students work on coding problems, AI tools can quickly identify errors or misunderstandings and provide immediate guidance to help them correct their mistakes. This can be especially helpful for students who may feel frustrated or stuck when working through challenging coding problems.
Additionally, AI can help increase collaboration among students by facilitating communication and problem-solving. This can be especially valuable in group projects, where students may need to work together to complete projects or tackle challenges.
While the integration of AI in the classroom has its benefits and can help prepare students for the demands of the modern workforce, there are some drawbacks to note. There is a major data privacy concern when it comes to using online AI tools, but, more importantly, using AI to write code as a software engineering student may hinder your growth and understanding of key concepts. Essentially, learning to code allows you to understand the limitations of AI and ML models and when they may not be the best solution.
Momentum’s Take on AI in the Classroom
Before using AI to write code, it is essential to have a solid understanding of how code works, including understanding programming languages, concepts, syntax, and algorithms. By learning to code, you gain the foundational knowledge necessary to create and manipulate code, which is essential in understanding how the models are being trained and what they are doing. While Momentum restricts students from using these technologies to write code, the program allows students to understand limitations, troubleshoot errors, and explain what was written when it comes to AI-generated code.
To talk to the Momentum team about our stance on the future of artificial intelligence in education or AI’s impact on learning to code, contact us today.
