AI and the Future of Education: The Examples of ARTIE, Gradescope, and NAO
Artificial intelligence penetrated all aspects of our lives, such as smart virtual assistants, chatbots, smart home devices, self-driving cars, drones, and other intelligent systems. In many sectors like manufacturing, healthcare, transportation, finance, and e-commerce AI has already been used for facilitating businesses. In this insight piece, we will focus on an essential part of AI functions: AI’s role in education and the potential usage areas.
First, artificial intelligence can be used in grading assignments, giving professors more time to concentrate on student interactions and in-class activities rather than redundant time-consuming tasks. It is also possible to adapt educational software for each student’s requirements and personalize education. This feature would allow the education system to be more dimensional and capable of answering each student’s unique needs.
Further, AI can be used to improve the courses overall by detecting the deficit sides. This form of framework helps fill the holes in the description that can arise in classes and ensure a logical foundation for all students. AI tutors may help the students likewise teach the fundamentals, and even like a chatbot, it can answer questions. With the rapid speed of technical advancement, the algorithm may even respond to a problem, including high-order thinking and creativity. Smart data gathering will enable a system that focuses more on the students’ needs and goals.
Artificial intelligence will not only be beneficial for students but also help the teacher to teach themselves further. Since AI is computer-based, it can be linked worldwide to numerous classrooms, facilitating greater cooperation, connectivity, and collaboration between schools and nations.
There are a few examples of current practices of AI in the area of education. A team from the Artificial Intelligence Department in Madrid, Spain, led by Dr. Imbernon Cuadrado, works on ARTIE (Affective Robot Tutor Integrated Environment), which can understand the child’s emotional wellbeing. ARTIE’s design team concentrated on three cognitive states: concentrated, distracted, and inactive, and found that the social support behaviors offered by these robot tutors had a positive effect on the ability of these students to learn.
There are also AI tools for teachers to understand the common mistakes of students like the tool Gradescope. Students get quicker and more accurate feedback on their work with Gradescope, and teachers can see detailed assignments and analytics of questions. Artificial intelligence may recognize the holes in the presentation and instructional content of a teacher. When many students submit an incorrect answer to a homework assignment, the instructor is notified by the device. To strengthen the logical basis of learning for that subject in the future, the teacher will then provide recommendations for future students’ best response.
The last one is about motivation and entertainment. Nao is a humanoid robot that speaks, moves, and teaches everything from reading to computer programming to children aged seven and up. Nao engages children in studying and provides students with a fun coding lab. This simple coding introduction allows learners to instruct the robot to do certain things, such as hand motions, emotional expressions, and even choreographed dances. In this way, students get the chance to familiarize themselves with asking a robot (or program) to do the tasks they want to do and better prepare them to train AI.
To sum up, AI in education will have a significant impact on students’ lives soon and provide better opportunities for them to improve themselves. The social shift is too powerful to avoid. All we can do is educate the next generations to be on the right side of history and use technological advancements for humanity’s good.