А Nextios, компанія LWSA, розробила Цифровий Учитель заснований на AI AWS для Освітнього – Екосистема Технології та Інновації, область бізнесу Позитивного Технології. Рішення було представлено під час Bett Educar 2024, подія інновації та технології для освіти, проведе в квітні цього року. Професор Digital використовує архітектуру, засновану на послугах AWS як Amazon Bedrock, AWS Lambda та Amazon Transcribe.
Digital Професор пропонує швидкі та ефективні відповіді, вдосконалюючи досвід користувачів. Крім резюме уроків і розробки іспитів, рішення має здатність генерувати контент автоматично. Метою є доступність Цифрового Вчителя широко для шкіл, покращуючи освітнє управління та досвід навчання.
Експериментуючи AI як навчальний інструмент
Крім свого портфеля продуктів що йде від комп'ютерів, смартфони до платіжних машинки, a Позитив Технологія має область бізнесу зосереджена на розробці рішень для освіти, як Едукативний Hub. Серед рішень присутніх у Hub, платформа Aprimora виграла в минулому році помічника штучного інтелекту генеративного – до Марії – для допомоги учням розуміти конкретні питання та відповідати на них
Згідно Christiano Grillo Justus, head з Інженерії та Архітектури Освітнього, from there, in 2023, були розпочаті розмови з Nextios, партнерка AWS, для використання генеративного AI, приїжджаючи до проекту Професора Digital, інтегроване рішення до Educational Hub.
The first concept was built on theAmazon Bedrockwith content from the BNCC (National Common Curricular Base) and various teaching materials.⁇ На цьому етапі, she learned from these materials and, by the user's age, presumed what he should know by offering information in the tone of voice of the schools associated with the system, explain Justus
According to Carlos Alberto Marangon, technical leader and AWS ambassador at Nextios, the conversations with AWS led to the development of a new architecture model, until then not used. The idea arose to use the Amazon Bedrock Agents only in the final stage, to bring the answers from the knowledge base, instead of developing the entire solution within the service, explain.
The teams created a service-based architecture like theAWS Step Functions, AWS Lambda, Amazon OpenSearch Service, Amazon EventBridge, Amazon Transcribe, Amazon CloudFront, Balanceador de Carga de Aplicação, AWS Certificate Managerand Amazon Simple Storage ServiceAmazon S3). Already on Amazon Bedrock, there is the use of Anthropic Claude-3, Bases de ConhecimentoandAI Agents.
For Gabriel Leite da Silva, AWS Partner Solutions Architect, the implementation strategy – isolated in specific tasks – allowed the balance between generic information, that should not be used; and very specific, that would make the solution similar to chatbots.
The specialist emphasizes the use of a technique called prompt chain, that mixes low code solutions with the code envelope that allows the final response to the user to be made through stream, what allows combining business flow management with very quick responses from Amazon Bedrock.
"This combination of services is a paradigm shift". We opted for a serverless architecture and AWS tools that provide this low code part, allowing not only to deliver quickly, but giving Positivo Tecnologia the opportunity to experience different scenarios, affirms.
She is not only focused on a knowledge base, being able to call a systemic API, understand your output and perform a systemic processing without the need for code to build these calls, affirms, highlighting also the possibility of integration with transactional and analytical workloads, with low code usage.
Meeting demands and performing tasks
Marangon, from Nextios, reinforces that the architecture, how it was designed, allows to meet the demand and perform tasks of different user levels, with access to specific content for teachers, students and managers.
The use of Amazon Transcribe, for example, allows recorded classes to be saved and transformed into summaries by Amazon Bedrock which can later be accessed by students. "The recorded class becomes a searchable content for the student", explain, remembering that the solution, with these components, made viable things that were not visible and brought a performance that was not possible before.
Justus claims that the first proof of concept was developed in two months. Confirmed the operation, a second version was prepared in 15 days, allowing the Digital Teacher to be presented at Bett Educar 2024. At this stage, the integration with the solutions developed by edtechs and offered in the Educational Hub was included. In this way, when consulted, the solution indicates that materials can be used within the existing solutions in the Hub
To introduce the Digital Professor, we created a video of a class, showing that he can understand a video, allow students to ask questions and teachers to create a more efficient study plan based on that lesson, specific to certain students. Furthermore, the student could ask questions about the material and clarify doubts about the explanation, also based on the knowledge accumulated by AI, explain
Justus compares one of the functions of the Digital Teacher to that of a teaching assistant. In the future, the director of a school who wants to know how his classes are doing, you will be able to view this information and receive management suggestions. It is an action assistant, feedback, data and material. "That's where we're going", say
The next step, according to Justus, is to present the solution to the business team. The objective of this process is to define the path for delivering the greatest value in the shortest time, bringing the solution to schools that can actually test them.
André Amorim, general director of Nextios, reinforces that "This project represents the first step of many that we are taking in building solutions with Generative Artificial Intelligence. The Digital Professor is not just a project, it is a reflection of our commitment to remain at the forefront of technology and to create solutions using the most modern resources for our clients, affirms.
