Agile method for planning a smart classroom.

A smart classroom is the combination of technology, physical space, and teaching methodology, providing students with collaborative and immersive learning through hands-on activities, conducted in the classroom or through technology. This article addresses smart classroom planning, investigating requirements gathering strategies, models for refinement, and quality and cost control. We propose a methodology to ensure that the details of all areas included in the planned environment contribute to learning. During requirements gathering, an agile workflow based on a game dynamic is executed, allowing for a simple and efficient identification of the specific requirements of a smart classroom. After this gathering, the BIM-based 3D model was created, which allowed for greater visibility of needs at each stage of the environment's construction. The methodology proposes a metaverse model, based on the previous 3D model, which adds a dynamic layer, allowing experts, anywhere, to navigate the model and evaluate the smart classroom design. The methodology contributes to clear communication between departments, enabling agile refinement and the application of quality and cost standards. This allowed the team to visualize a variety of items and their importance. The methodology improves communication and understanding of needs among teams, allowing for problem-solving before the production phase.•The combined use of two methodologies (one focused on Information technology and the other on engineering) that allow accelerating and optimizing the planning process of an intelligent environment.•Agile approach to requirements gathering, combined with the presentation of graphical models, allows benefit of a given item in previous stages, thus bringing more awareness to the team about quality and advantages, before the effective allocation of the cost related to the improvements.•Method of detailing components or services, to understand which supplier delivers the desired service at the best price, within the best time frame and following a desired quality standard.