How AI Helps Student Outcomes
I receive a significant number of letters and emails from education administrators, educators, and professors who want to discover how artificial intelligence can be leveraged in higher education and PreK-12. More precisely, they want to discover how artificial intelligence can be used to improve student outcomes. My usual response is to direct them to some of the general pieces of content that I’ve written encompassing the subject of artificial intelligence. Even though these pieces talk about the utilization of artificial intelligence in the context of education, I wanted to write an article that concentrates on how AI technologies can be used to improve student outcomes. This short piece will discuss just that.
Artificial intelligence develops student outcomes in the following nine ways:
- Artificial intelligence can precisely spot the most advantageous pedagogical methods, techniques, strategies, etc., together with the contexts and applications of learning that the next generation requires.
- With new devices and technologies becoming more and more sophisticated and nuanced, they’ll have the ability to track and capture voice and biological and visual data. Artificial intelligence will then have the ability to leverage these technologies to evaluate complex skills. For instance, it’ll have the ability to observe eye contact in the course of group discussions. If you’re thinking about how this can help teachers, it lets them assess the levels of focus and understanding of their students.
- AI can combine information and content to assist curriculum delivery with the help of deep learning.
- Artificial intelligence can help with analytics tasks and extensive data collection that help teachers identify the most advantageous classroom management and pedagogical techniques for every individual student.
- Artificial intelligence can help build tools to evaluate the level of comprehension of a student by analyzing the way a student came up with an answer. This helps teachers gain important insights into the thought process of a student that they can use to build personalized learning plans. Sequentially, this will help students follow an educational path that caters to two objectives. It lets students learn skills and concepts that they’re interested in while helping them reach their complete academic potential.
- Artificial intelligence can offer just-in-time evaluation by leveraging big data and learning analytics to identify changes in motivation and confidence levels in individual students. This lets teachers provide struggling students with timely interventions.
- Artificial intelligence can be utilized to build purposeful learning experiences like project-based learning, gamified learning, etc.
- With AI, students can have a personal tutor who helps them when they’re in need of help to master a learning experience.
- AI can be utilized to build systems that’ll let teachers track each student’s progress in their classroom. This comprises measures that have been difficult for teachers to evaluate in the past, such as curiosity, innovativeness, and creativity.
Let me know if I missed anything.