While the world is agog about AI, educators exercise a little more caution. They’re right to look before they leap. Weighing up the pros and cons is imperative.
That said, with more and more providers moving to AI assessment, it’s less of a leap of faith these days. And the technology is improving all the time. Artificial intelligence is revolutionising the assessment process, streamlining systems, saving time, improving grading consistency, and providing more meaningful feedback.
Key considerations when choosing an assessment platform
1. Alignment with educational goals
Not all AI tools are built the same. It’s crucial to ensure that the AI grading solution aligns with your educational goals.
2. Support learning outcomes: Does the tool support your desired learning outcomes? AI may make assessment a whole lot easier, but, first of all, it should help learners develop the skills you’re aiming to teach.
3. Fit institutional needs: Assessments are hands-on, and AI should support practical skill assessments as well. Make sure the AI tool isn’t just general-purpose but works well for your specific training needs.
4. Integration with existing systems
No system is an island, entire of itself.
You probably already have systems in place, like a learning management system (LMS). Make sure the AI grading solution complements your current setup.
5. Compatibility: Will the AI grading solution integrate smoothly with your own LMS and other tools? Seamless integration means fewer disruptions and headaches down the line.
The goal is to improve efficiency, not create extra work. Look for solutions that are designed to integrate seamlessly.
Download the free AI Implementation checklist here
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