Personalized education: AI has the ability to adapt to student needs. Systems respond to students based on their performance and behavior. They can then focus on certain topics, go over aspects that a student has not yet mastered, and go at a pace that will improve their ability to consume the information provided.
A greater level of accessibility: Artificial intelligence is assisting with creating and improving tools that deliver a more accessible, inclusive environment for learning. Accessibility is critical for students with disabilities who can struggle in traditional learning situations, let alone when offered fewer resources while remote. Audio conferences, for instance, are unsupportive of deaf and hard-of-hearing students. This is why Verbit's AI speech recognition software for schools and universities which helps turn audio into transcriptions, has proven to be an invaluable tool for those that require additional support.
Enhanced engagement: To grab the attention of students and ensure educational materials are absorbed, AI can assist with the digitalization of content. By digitizing paper documents – including hand-written notes – this means data can be extracted and used with ease.
Automation to streamline processes: Automation can help to streamline various processes. One such process is the transcription of a video lesson, where students can gain access to a text-based version of a lecture to reference later as study material.
The right technology, however, is required to accurately transcribe videos, for example. Different accents and speech patterns have to be taken into account, which throws up literally trillions of different mathematic calculations for the AI speech recognition technology to comprehend. Verbit’s speech recognition engine is trained to recognize countless words and terms automatically, which can even result in real-time transcription that allows hard-of-hearing students to follow lectures at the same time as their peers.
Reduced intimidation: A critical aspect of learning is trial and error. Yet not knowing the answer or failing can feel paralyzing for students. They often do not like being placed on the spot for fear of being wrong. With AI, students can answer and experiment in a judgment-free environment. AI tutors can respond to student errors by supplying improvement solutions. Due to the fact AI systems typically learn via a trial-and-error methodology, this is the perfect format for this type of learning.
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