7 Must-Have AI Tools In Education To Boost Your Educational Offerings
- Published on: May 14, 2024
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- Updated on: June 20, 2024
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- Reading Time: 5 mins
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Make content accessible as you write
Engage students with tailor-made learning
Simplify your content creation process
Generate personalized lessons in minutes
Automate image audits effortlessly
Streamline development efficiency with AI
Automate your end-to-end testing process
What Challenges Do These AI Tools Solve?
Accessibility Compliance
Learning Efficiency
Content Development Costs
Programming Challenges
Testing Complexity
Ethical Frameworks That Are Crucial For the Implementation of AI
Conclusion
The three pillars of a successful education experience – inclusivity, efficiency, and accessibility – are more important than ever. Fortunately, advancements in artificial intelligence (AI) are providing educators and learners with powerful tools to achieve these goals.
2 out of 3 higher education institutions consider AI a priority for improving the student experience. This is unsurprising! AI can personalize learning journeys, automate tedious tasks, and create a more inclusive learning environment for students with diverse needs.
With AI becoming an essential aspect of improving the educational experience, we’ve got 7 AI tools you should be incorporating into your learning products that will help students.
1. Make content accessible as you write
We all know the importance of accessibility in edtech products. But what if there was an assistant that suggested accessibility features AS you author content? Up to 40% of accessibility concerns can be addressed during the authoring process. Take our Accelerator IdeA11y Writing Companion (IWC) for instance. IWC uses advanced algorithms and data trained on our private LLMs to flag accessibility errors and make better suggestions to course authors. It doesn’t stop with accessibility – the IDEA11y tool also lends suggestions to improve content to make it more inclusive.
2. Engage students with tailor-made learning
Students crave a learning experience that feels relevant and can keep them engaged. But with the traditional learning methods, it can be difficult to find the “right” content to cater to their individual needs and learning styles. Here’s where an AI-powered personalized assistant comes in, offering a personalized approach that keeps students hooked. For example, consider KEA, our very own AI learning assistant. KEA goes beyond rote recommendations – making 80% of your communications with your students productive. This smart companion provides students with the adequate information they need and exactly when they need it.
3. Simplify your content creation process
Creating accessible educational content across platforms can be a time-consuming challenge, especially when it comes to crafting accessible assessments. But there’s a solution! AI-powered accessibility assistants like our own QuizA11y can streamline this process. This AI engine can effortlessly convert your existing text formats into WCAG 2.1 compliant formats, including accessible assessments, with features like screen-reader-friendly content, alternative formats, etc. This saves you hours and ensures all tests are designed with a wide range of learners in mind, including those with disabilities.
4. Generate personalized lessons in minutes
Course development costs can be a major barrier, especially when aiming for personalized learning experiences. An AI tool like our Micro Lesson Generator can create high-quality, tailored content in just minutes. Simply provide a topic, and this AI-powered lesson generator whips up learning modules that cater to different learning styles and levels. Plus, it ensures all generated content is accessible, saving you time and money on additional formatting.
5. Automate image audits effortlessly
Image accessibility can be a tedious task, especially when it comes to accessibility compliance. Our AI-powered Color Contrast Validator eliminates the monotonous manual task of image audits. It analyzes images in bulk pinpointing potential color contrast errors in record time, all while keeping costs under control. This innovative tool lets you create inclusive educational products faster, without compromising on quality.
6. Streamline development efficiency with AI
The world of software development can be demanding. Tackling complex codebases and time-consuming code reviews can be problematic and resource-intensive at times. Wouldn’t an automated companion that would help you streamline these tasks be great? Our Developer Companion can be your one-stop shop for streamlined development. With a 50% boost in your development productivity, you can generate comprehensive test cases, navigate intricate codebases, and review code across various programming languages – with ease.
7. Automate your end-to-end testing process
Testing complex software across diverse scenarios can be a daunting task, riddled with time constraints and potential issues. What if there was an end-to-end solution to it? Experience up to 80% improvement in testing productivity with EazyTest AI Pro, unifying your entire Software Testing Life Cycle (STLC) under a single platform and freeing up your team for more strategic tasks. Our automated testing solution can test multiple scenarios simultaneously, with self-healing workflows that automatically identify and fix script failures.
What Challenges Do These AI Tools Solve?
Accessibility Compliance
Many educational materials often lack accessibility features, making it difficult for individuals with disabilities to access the content. Our AI tools like IdeA11y Writing Companion, QuizA11y Assessment Item Generator, and Color Contrast Validator address this issue by creating accessible content, converting existing materials into accessible formats, and ensuring your images meet accessibility standards.
Learning Efficiency
Students may struggle to grasp concepts efficiently due to limited resources or ineffective teaching methods. KEA: The Learning Assistant and Micro Lesson Generator address this by providing personalized learning experiences and generating bite-sized lessons tailored to individual student needs, thereby enhancing learning efficiency.
Content Development Costs
Developing educational content, especially diverse and accessible materials, can be time-consuming and expensive. The Micro Lesson Generator and Color Contrast Validator reduce content development costs by automating the creation of learning materials and streamlining the process of ensuring accessibility compliance.
Programming Challenges
Learning and mastering programming languages can be daunting, especially for beginners. The Developer Companion assists developers by providing support for understanding and navigating complex codebases, reviewing code, and generating test cases automatically, thereby addressing common programming challenges and improving code quality.
Testing Complexity
Testing educational software and applications for various scenarios and accessibility can be complex and time-consuming. EazyTest AI Pro simplifies this process by providing AI-driven automation for testing multiple scenarios, including performance and accessibility testing, thereby reducing testing time and effort while ensuring quality and compliance.
Ethical Frameworks That Are Crucial For the Implementation of AI
No doubt that the AI tools mentioned above are effective and outcome-driven, and they also solve a couple of challenges. However, there are two critical challenges: impartiality and bias. The problem with the biases is how the data is used to train diverse AI models. If the data has a bias in itself, then the result will also be biased, which will lead to partiality.
To solve this problem, it’s quite necessary to gather data from various sources and make sure that the data entails a combination of diverse races, ethnicities, ages, and genders. There should be a blend of varied experiences and perceptions in the data to maintain transparency and accountability throughout.
Conclusion
As we move towards a more equitable and efficient educational path, the ethical considerations surrounding AI implementation cannot be overlooked. While these AI tools offer tremendous potential, they also pose challenges. By adopting robust ethical frameworks that prioritize diversity in data collection and model training, we can bridge these risks and pave the way for a future where AI not only enhances learning outcomes but does so with fairness, transparency, and accountability at its core.
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