Current-day technologies are actively remaking the way automation in education takes place. The United State education sector’s artificial intelligence and Robotic Process Automation (RPA) markets are anticipated to earn nearly $85 million by 2022. According to recent market research, some of the biggest names in tech are continually developing new education solutions.

Regardless, the actual part of automation in education and students’ day-to-day lives goes much to be expected. Surrounded by gadgets, students mostly use them for communication and entertainment.

Voice assistants as educators’ allies

Using voice assistants as teachers’ aides is nothing new—after all, the “assistant” part of the label describes their purpose instead unambiguously. Based on NLP, speech recognition, and generation technology, virtual assistants are possibly the most noticeable ‘AI-infused’ existence in our lives. Mostly associated with smart houses and personal devices, they are soon considered to become no less than desired presence in classrooms, especially in prior schools.

Ai classroom activity management aids, Spelling and reading assistance, and reference desks are the most typical use cases at the moment. With the growth of third-party app ecosystems around Alexa and other smart speaking tech, the role of voice assistants as narrow but indisputable classroom partners is only to be expanded to the areas of learning unfamiliar languages, reference checking, resource searching, and others.

Experiential learning chances for students

As discussed overhead, automation in education saves duration and increases productivity. It also lets students interact better with the academic team by receiving faster and more accurate feedback on their homework, projects, and exams. Once their school embraces automation techniques, students no longer have to deal with grading errors or wait weeks to get feedback on their work.

Therefore, schools and universities must utilize automation techniques to train their students to work better with machines — by doing what machines can’t. This means concentrating more on developing students’ digital skills and improving the focus on experiential learning.

Progressive facial recognition for attendance roll marking

A star student of the computer vision class, automated facial recognition has long been used in surveillance systems worldwide. Lately, it has earned much extra traction gratitude to leaps in development and the growing accessibility of technology. Integrated by government and commercial facilities, tech giants, and online retailers, FR has now found overall success as an extra layer of digital protection, a convenient privacy feature, a social media and marketing tool, and more.

So, it was only a matter of duration before this technology found benefits in schools, libraries, and campuses. Among other examples, the last two years have seen enormous trial rollouts of FR systems for automated attendance school roll marking, like the one in Australia. Originally sparking privacy-related worries, the system works under the strict Privacy Impact Assessment regulations and needs explicit consent from students and parents to keep images.

Expressive and movement monitoring for better Ai classroom dynamics analysis

Automated attendance checking is a time saver, but there are other usages for an AI-powered camera. In the same short span of two years, several irrelevant but similar AI-based projects have been put to the test in different corners of the world—to follow movements and monitor students’ facial expressions during classes.

Aside from the apparent purpose (like automated exam supervision), these systems seek to better assess students’ involvement and progress, separately or as a group. The system can acknowledge and score how students answer to different information and teaching strategies, when they overlook to space out, how readily they cooperate, work alone, or get diverted, and so on. It also enables assess and giving pointed feedback to teachers on their techniques.

The future of automation in schooling

The most important value-adding increase automation will bring to the table is the additional interaction time it offers students and those who educate them. Automation will allow schools to adapt to student requirements and provide better-individualized teaching, letting students of different skill levels work jointly in the exact Ai classroom.

With technology continuously monitoring student improvement and learning patterns, automation will assist teachers in identifying and addressing gaps in their teaching. In addition to grading fill-in-the-blank and multiple-choice assessments, it will assist teachers quickly evaluating short-answer questions and articles.

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