AIed Startup

Introduction to AIed

AI involves computer software that has been programmed to interact with the world in ways normally requiring human intelligence. This means that AI depends both on knowledge about the world, and algorithms to intelligently process that knowledge.

This knowledge about the world is represented in so called ‘models’. There are three key models at the heart of AIEd: the pedagogical model, the domain model, and the learner model.

Take the example of an AIEd system that is designed to provide appropriate individualised feedback to a student. Achieving this requires that the AIEd system knows something about:

• Effective approaches to teaching (which is represented in a pedagogical model)
• The subject being learned (represented in the domain model)
• The student (represented in the learner model)

The above figure is a simplified picture of a typical model-based adaptive tutor. It is based on the mentioned three core models. AIEd algorithms (implemented in the system’s computer code) process that knowledge to select the most appropriate content to be delivered to the learner, according to their individual capabilities and needs.

While this content (which might take the form of text, sound, activity, video, or animation) is being delivered to the learner, continuous analysis of the learner’s interactions (for example, their current actions and answers, their past achievements, and their current affective state) informs the delivery of feedback (for example, hints and guidance), to help them progress through the content they are learning.

Deep analysis of the student’s interactions is also used to update the learner model; more accurate estimates of the student’s current state (their understanding and motivation, for example) ensures that each student’s learning experience is tailored to their capabilities and needs, and effectively supports their learning.

Some systems include so-called Open Learner Models, which present the outcomes of the analysis back to the learners and teachers. These outcomes might include valuable information about the learner’s achievements, their affective state, or any misconceptions that they held. This can help teachers understand their students’ approach to learning, and allows them to shape future learning experiences appropriately.

For the learners, Open Learner Models can help motivate them by enabling them to track their own progress, and can also encourage them to reflect on their learning.

How AI is changing Education?

Customized courses and material

Until now, teachers and schools were forced to use a cookie cutter approach, treating all students more or less in the same manner in the classroom. Now, thanks to Machine learning, the branch of AI that finds patterns in data, teachers can glean actionable insights from student performance and make informed and efficient decisions in helping steer them in the best direction.

By collecting data, ML algorithms can find where a student is having more problems and assist them by providing them with custom material, exercises and lessons that can help them bridge those gaps. By collecting and analyzing data from a wide number of students, ML algorithms can find and prescribe learning paths to students and make sure they face the least difficulties on their way to building their career.

Advanced tutoring

Online tutoring has been around for a while, thanks to broadband internet and the explosion of cloud computing resources and services. These services have enabled tutoring tasks to be ported to online platforms and performed remotely, connecting people thousands of miles apart and helping them learn and hone their skills.

Now, thanks to AI, these platforms are moving to the next level, helping connect the right people and enhance the tutoring experience. One example is Brainly, a social media platform that enables millions of students to connect and solve homework and assignments.

Helping teachers fill gaps in education

When dealing with dozens of students, teachers often miss gaps in their lectures and educational materials, which can confuse students and hamper the learning experience. AI can help find those shortcomings and alert teachers in a timely fashion.

An example is Coursera, a open online course provider, which alerts teachers when a large number of students submit wrong answers to a question, while assisting the students by providing them with a customized message that can steer them in the right path.

By creating smart, personalized interactions with the students, the AI assistants give immediate feedback to students and help them understand concepts without waiting on the teachers.

Please visit this file for detailed information.

https://drive.google.com/file/d/14S8mkvUo5z706TAV4wS8ID8ZdTu_5aZe/view?usp=sharing