Applications in education

Let’s take a look at some of the most potentially beneficial applications of AI in the educational sector:

1. Personalization

Maybe you have been there and know how difficult, if not impossible, it is to customize learning and teaching to the distinctive needs of every single student in your classroom(s). Thanks to AI, this can no longer be a burden on educators, and every student can enjoy the learning experience he or she specifically needs. Personalization, or its more advanced form, hyper-personalization is using real-time data in order to create uniquely tailored content to each individual student’s needs. Using AI, learners’ study habits, preferred content, browsing and search history, and learning styles are tracked and used to create the learning path that exactly suits each learner’s goals and needs.

Image Source: Capgemini

2. Automated feedback

With this AI ability, so much time can be saved so teachers can focus on more important tasks. Students also benefit from this by receiving the feedback they need as soon as they need it in order to move forward with their learning without having to wait for their teacher, who is probably already super busy, to deliver that feedback to them.

3. Content Curation

Content curation is the process of discovering, collecting, and presenting digital content in a certain subject matter. AI engines can provide real-time predictive recommendations of content that learners need or prefer based on their engagement and interaction with it. This ensures learners receive only relevant content for their specified learning goals. Moreover, with the power of AI, different media content such as images, video, text, etc. can be organized through tags which makes searching through tons of content very fast and efficient.

4. Assessment

AI-based assessment is highly responsive and adapts to student’s performance immediately. Through AI-based assessment, the difficulty of questions, for example, can be adjusted to create the specific challenge a learner needs. Using this ability, learning outcomes can be greatly enhanced as a student’s level is accurately evaluated, their areas of improvement instantly identified, and therefore their content and learning path can be adjusted accordingly to help them succeed and achieve proficiency. Other noteworthy applications that relate to assessment are plagiarism detection and automatic grading that not only produces scores but also collects and analyzes data about students’ performance thus saving plenty of time and making it easier to create intervention plans for students who need them.

5. Chatbots

There are numerous ways chatbots can assist both educators and learners. Examples include providing instant and individualized feedback and accomplishing tasks that consume teachers’ time because of their repetitive nature such as answering questions about the course and directing students to where they might find the support or answers they need. Moreover, with their human-like voice and cool user-interface, chatbots make learning and interactions fun and engaging for students thus maintaining motivation for learning.