Explaining AI Features in Educational Apps

Explaining AI Features in Educational Apps

AI has the potential to revolutionise education by making it more personalised, effective, and efficient. Education apps that use AI are at the forefront of this revolution, and our expert reviewers are here to help you navigate this rapidly evolving field.

Before we examine some common jargon related to AI and education, we'll explore why teachers might want to find educational apps with AI capabilities.

To create adaptive learning content: AI can be used to develop learning content tailored to each student's needs. This can help students to learn more effectively and efficiently.

To identify students facing difficulties: AI can identify students struggling in a particular subject area. Teachers can use this information to provide the students with additional support.

To provide feedback to students on their work: AI can give them feedback on their essays, code, and other assignments. This feedback can be more personalised and timely than feedback from a human teacher.

To speed up creating lesson materials: AI can generate or adapt images and text ready for you to use with your class. The potential time savings from this are enormous.

To create personalised learning plans: AI can create customised learning plans for students. These plans can reflect each student's interests, learning style, and academic goals.

To inspire: AI can create games and design activities for kids to play in the real world, which help them learn about a topic. Teachers facing a creative block can ask AI for ideas on how to teach a topic and frequently get a helpful starting point if not a complete package.

The following features are some buzzwords you might encounter when assessing apps to support your teaching.

Intelligent tutoring systems: Intelligent tutoring systems (ITSs) are AI-powered systems that can provide students with personalised instruction and feedback. ITSs can track students' progress and identify areas needing additional help. They can then give the student with targeted instruction and practice problems.

Adaptive learning: Adaptive learning software uses AI to tailor each student's learning experience. The software tracks the student's progress and performance and then adjusts the difficulty of the material and the types of questions the student is asked. This can help students to learn more effectively and efficiently.

Natural language processing (NLP): NLP is a field of AI that deals with the interaction between computers and human language. NLP is being used to develop educational software that can understand and respond to student queries in a natural way. For example, NLP-powered educational chatbots can answer student questions about course material and provide feedback on student work.

Generative AI: Generative AI is what has propelled artificial intelligence to its current level of fame. It uses complex probability models to take user's prompts and turn them into text, images, sounds, animations, and more. It isn't yet perfect, and humans should always check its output, but it is proving to be a tool that can work as an effective copilot to many professionals, teachers included.

Automated grading: Automated grading software can use AI to grade student work, such as essays and code. This automation can free up teachers' time to focus on other tasks, such as providing feedback to students and developing lesson plans.

Now you understand what the features do and why you'd need them, use a free trial to the appropriate library to help you find the best apps for your kids' education.

If you're a teacher, you might our thoughts on the hidden dangers of AI for teachers useful.

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