Watson Element - The first IBM Watson educational app for schoolchildren.



    IBM developed and introduced the first Watson Element learning application , which is positioned as a digital assistant for students and teachers. First, this application will be tested in the US in the Coppell Independent School District (ISD). The authors of the project claim that the app will provide teachers with the opportunity to take their work to a new level, allowing them to conduct learning with an individual approach.

    ISD is one of the most successful school districts in Texas. It includes several localities with a total of 1,200 students and 750 teachers. The need for good teachers is becoming increasingly significant in all countries of the world. In the US, for example, about a third of students need extra classes with tutors after they finish school and go to college. The quality of education received at school is not too high. It is possible to argue about the reasons for this state of affairs, but you need to correct the situation now.

    And the facts speak for themselves. Thus, the level of student achievement in the United States is now below the required national level. Accordingly, the needs of enterprises for qualified employees are only partially met. Watson Element will help students learn more effectively, and teachers - to find and find an individual approach to their wards.

    “For decades, IBM has provided its resources and the opportunity to improve the education and training system for children and adolescents, our future leaders,” said Harriet Green, head of commerce and education at IBM Watson IoT, “IBM and Apple launch Watson Element in order to help teachers improve the quality of student learning, taking into account their preferences and interests. ” This, according to Harriet Green, can help shape an individual approach to the training of specific students and pupils.

    Teachers will be able to track the progress of their students, as well as quickly understand what the student is interested in. IBM Watson Element helps you keep track of each student’s achievements and plans. In addition, the teacher will be able to enter notes if one of the students goes to a football match from his school, someone wants to become a politician and participates in school debates, and someone else has received an excellent mark for his scientific project in chemistry .


    One of the functions in IBM Watson Element allows the teacher to get the results of the analysis of the preferences and hobbies of the student. Also, the service will help monitor the progress of each student. If necessary, it will be possible to form interest groups from schoolchildren whose members would be interested in spending time with each other, gaining additional knowledge on the subject of interest.

    “Working with IBM and Apple, we are developing original solutions to improve the quality of education, taking into account the interests of students, and we can also use the information we receive about the sensitivity of each student,” said Marily Denison, a representative of the ISD school district in Texas.

    Watson Enlight can help plan classes, and the service provides the teacher with instructional materials during the preparation of the next lesson. For example, if a student has problems with mastering algebra, the teacher will receive additional materials that will help explain to the student an incomprehensible term or action. The service will be able to collect scattered information on a specific topic all over the Internet, presenting the entire package of collected documents to the teacher.

    According to the district representative, Watson Enlight is an application that will help rethink the educational process, adding the ability to track students' interests and hobbies.

    Application developed in the framework of the MobileFirst project. IBM and Apple have already developed dozens of applications for this project. IBM MobileFirst enterprise mobility solutions contain applications, infrastructure, and communication methods designed specifically for mobile users. This means that all interactions can be made personalized based on data that is safely processed at the endpoints and provided through a convenient user interface.

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