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Education Technology Insights | Friday, December 23, 2022
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Educational institutes are increasingly adopting AI solutions to optimize learning and teaching but are also realizing its limitations and challenges.
FREMONT, CA: AI has greatly strengthened and stabilized the educational landscape. Artificialrtificial intelligence (AI) has made learning much more accessible to all groups. During the COVID-19 pandemic, which affected the American economy and forced many schools to switch to remote learning, teachers needed to use technology, and school districts explored ways to expand their technological capabilities. Increasing technology in the classroom increased the use of artificial intelligence.
AI in current educational processes: AI can be a powerful tool for students and teachers alike, making it a valuable tool for modern education. AI techniques are widely used in classrooms today. AI can help students learn in a more personalized way. Students could learn the specific content they need through personalized learning tailored to their needs. It is possible to scale and improve personalized learning by using AI systems.
Using computer vision (CV) techniques in education can also enhance learning by detecting objects and analyzing images. It can also be extremely useful for teachers to use CV. Using CVs can help grade tests. In addition to enhancing test grading efficiency and accelerating grade updates, CV has greatly relieved testing managers. Classification allows the identification and grading of handwritten characters, and integrating natural language processing systems to parse and grade the text is also possible. Teacher attendance processes can also be automated using CV. Manually taking attendance takes up class time, and teachers may need to correct mistakes in marking students as present or absent.
Concerns of AI usage in Education: It is also important to address many concerns when implementing AI in education to increase its adoption. Especially in education, data privacy is becoming an increasingly difficult problem to solve in a world of rapidly advancing technology. Online or hybrid learning settings increase the collection, and use of data as students use various technologies. AI-based applications require this data to function but can invade students' privacy.