The National Science and Technology Museum launched the «Explore IOT Exhibition» in 2017. When curating the exhibition, it included the exhibit education activity: «DIY Unmanned Aerial Vehicle» in its planning to respond in a real time manner to the emerging issue of incorporating information, communication and digital technology into the Curriculum Guidelines for the 12-Year Basic Education, displaying the Museum’s function in supporting formal education. Museum has to be innovative in terms of educational activity to meet various groups’ learning needs. Using «DIY Unmanned Aerial Vehicle» activity as an example, this paper discusses the generic learning outcomes (GLOs) of non-formal educational institutions used in said activity to plan further activities and conduct learning evaluations. The objective is to see if it is feasible to practically use GLOs for the Museum’s educational activities. The results of a qualitative and quantitative data analysis show that most participants gave positive feedback to learning effectiveness, attesting to learning goals based on the framework of GLOs set by the organizer. GLOs make it easier for the organizer to focus on the direction of the activity. The findings from this case study suggest that GLOs can serve as a reference for promoting the Museum’s educational activities.

The National Science and Technology Museum creates an “Online to Onsite visitor behavior system”(OOVBS) into ”Explore IoT Exhibition”. The system is installed in all interactive units, through app, beacon technology and program for capturing personal experience during a museum visit. Besides, we adopted Stephen Bitgood’s behavior observation scale: the degree of involvement, the state of operations, the degree of reading, and the content of discussion into this interactive unit as criteria for evaluation. We will be able to retrieve visitors’ data that included basic information, comments and feedback, as well as comprehensive performance of visitor behavior via this system, by starting and operating interactive units with the corresponding identifiers of the applications demonstrated at the exhibition that they download. This article presents an “online to onsite” exhibition mode of intelligent museum to access learning behavior of visitors and build data analysis.Through the actual implementation of a visitor database for the exhibition, audiences’ visiting behavior and learning mode can be documented and evaluated. If the concept of a ‘museum group’ system can be developed in the future to integrate all museum audiences’ information, it will have an impact on the museum’s exhibitions, education, and operations.