Most of these new jobs are expected to evolve in the quaternary sector, which is composed of knowledge-based and highly demanding service jobs such as in business, legal, and IT functions.
Rochelle, head of product management at Google, expects that AI applications will soon personalize the learning experience of students by suggesting individual learning objectives, selecting instructional approaches and displaying exercises that are based on the interests and skill level of every student.
Just like Netflix shows us the film that we could also like, or Spotify creates a personal playlist based on our historical music choice, AI could suggest to students their most suitable educational setting.
While Gradescope already works robustly for standardized test formats such as multiple choice tests, a further challenge lies in the grading of longer texts, a discipline also referred to as automated essay scoring (AES).
One approach to AES is finding objective measures such as the word length, the number of spelling mistakes, and the ratio of upper case to lower case letters.
Almost surprisingly, the output of the winning team was in 81% agreement with the teachers’ gradings, an impressive result that marked a turning point in teachers’ perceptions towards education technology.
Today, AES engines are used to support human raters in scoring academic essays such as the GRE and TOEFL.Consequently, in every classroom there are a few students who become bored because they have understood a subject very fast and others who are discouraged quickly because they cannot follow the teacher’s explanations.In other words, education has moved towards a one-size-fits-all solution.Because educational institutions have continued to rely on traditional lecture/classroom settings in recent years, they oversaw unconceivable potential from AI solutions to complement traditional learning by improving current common practices and unburdening teachers.Here are three of the hottest topics that the Ed Tech scene is currently working on using artificial intelligence: Personalized learning Because of simple practicality, our current education system is based on grouping students merely by age, disregarding the differences in students’ learning paces, interests, and talents.Automated grading I can still recall my former English teacher claiming that the worst part of his profession is grading.It is a repetitive task that consumes a lot of resources which could be utilized as valuable classroom time interacting with students.AI technologists are working on solutions to automate the tedious grading process and one successful example is the AI-based grading solution Gradescope, a system which is already used in many universities including Berkeley and Stanford University.Gradescope asks teachers to scan the students’ handwritten test solutions and automatically applies pre-defined grading criteria to all tests, thereby reducing grading time significantly and providing a transparent grading key to students.However, digitalization has not only affected our private lives but also the vocational world.In her book “The New Education”, university professor Davidson predicts that 65% of jobs that will be available for students in 15 years do not exist yet.