This article takes the special exhibition «Exploring the Internet of Things» that will be moved to the Macao Science Museum in 2021 as an example, and conducts quantitative analysis through the «Online to Onsite visitor behavior system» built with the exhibition, and attempts to compare the same interactive multimedia display in this exhibition. Differences in audience satisfaction, visiting behavior and learning ability between the Macao Science Museum and the National Science and Technology Museum. The results show that there is no significant difference in the satisfaction of audiences with different cultural backgrounds for interactive installations, but the part of the visiting behavior that is comprehensively expressed in the National Science and Technology Museum. is «high-level participation», while Macao Science Museum, under the public’s awareness of epidemic prevention, has reduced the level of participation. The willingness to interact only falls on the «middle-level participation». In the design of the display content and the presentation method of the display instructions, the Macao Science Museum has two units. The performance of the «correct rate» of answering or calculating questions is almost full, showing its excellent learning ability, indicating that it fully understands the scientific knowledge that this special exhibition intends to convey.With the characteristics of interactive multimedia display, the National Science and Technology Museum introduces information and communication technology, integrates the structure of the visiting behavior database into the exhibition, and proposes a virtual and real integration of intelligent museum display mode. The cloud-based online evaluation of «one exhibition, two audiences» verifies that this is a valuable combination of new thinking and practice in museology, which can be used as a reference for other museums to conduct overseas exhibitions in the future.

Along with the development of the Internet of Things and its related technologies, various industries, especially the service industry, have evolved from being «informatized» to being «intelligentized». This trend has also brought changes to various services offered by museums in Taiwan. Indeed, the Internet of Things, big data, artificial intelligence, and robotics have brought museums the opportunity to develop innovative exhibitions, enhance their educational function, and realize their vision statements. In relation to the Intelligent Museum Project, the National Science and Technology Museum launched the Special Exhibition on Exploring the Internet of Things. In the Exhibition, technology education is integrated with research on information and communications technology, as well as daily life, via an interactive narrative on information and communications technology that grows by leaps and bounds. «Online to Onsite visitor behavior system» was also constructed to capture visitors’ behavior in a real-time manner, and to create the Internet of Things within the Special Exhibition of the Internet of Things. The challenges include: determining how to present the «virtual» internet world in the «real» Exhibition, conversion of the content of interactive exhibits, selection of narrative approaches, and construction of a database system. When the Special Exhibition was launched in the National Science and Technology Museum during 2016-2017, the data were collected via the system constructed in the exhibition hall. An analysis of 14,960 entries of visitors’ behavior found that 98.4% of visitors were highly satisfied with the Exhibition; average time on site per visitor was 92 minutes; general performance of visitors’ behavior was 22.35 points, which falls into «high-level participation»; there was no «low-level participation». Judging from the comments and feedback provided by visitors, most of them are positive about the Exhibition. As such, it can be said that the educational function of the Special Exhibition on Exploring the Internet of Things has been realized.

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.