This paper presents synthesized research on where XR is most effective within a museum setting and what impact XR might have on the visitor experience.
The data collection procedure and process is one of the most critical components in a research study that affects the findings. Problems in data collection may directly influence the findings, and consequently, may lead to questionable inferences. Despite the challenges in data collection, this study provides insights for STEM education researchers and practitioners on effective data collection, in order to ensure that the data is useful for answering questions posed by research. Our engineering education research study was a part of a three-year, NSF funded project implemented in the Midwest
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TEAM MEMBERS:
Ibrahim YeterAnastasia Marie RynearsonHoda EhsanAnnwesa DasguptaBarbara FagundesMuhsin MeneskeMonica Cardella
Computational Thinking (CT) is an often overlooked, but important, aspect of engineering thinking. This connection can be seen in Wing’s definition of CT, which includes a combination of mathematical and engineering thinking required to solve problems. While previous studies have shown that children are capable of engaging in multiple CT competencies, research has yet to explore the role that parents play in promoting these competencies in their children. In this study, we are taking a unique approach by investigating the role that a homeschool mother played in her child’s engagement in CT
Given the growth of technology in the 21st century and the growing demands for computer science skills, computational thinking has been increasingly included in K-12 STEM (Science, Technology, Engineering and Mathematics) education. Computational thinking (CT) is relevant to integrated STEM and has many common practices with other STEM disciplines. Previous studies have shown synergies between CT and engineering learning. In addition, many researchers believe that the more children are exposed to CT learning experiences, the stronger their programming abilities will be. As programming is a
For the past two decades, researchers and educators have been interested in integrating engineering into K-12 learning experiences. More recently, computational thinking (CT) has gained increased attention in K-12 engineering education. Computational thinking is broader than programming and coding. Some describe computational thinking as crucial to engineering problem solving and critical to engineering habits of mind like systems thinking. However, few studies have explored how computational thinking is exhibited by children, and CT competencies for children have not been consistently defined
Informal learning environments such as science centers and museums are instrumental in the promotion of science, technology, engineering, and mathematics (STEM) education. These settings provide children with the chance to engage in self-directed activities that can create a of lifelong interest and persistence in STEM. On the other hand, the presence of parents in these settings allows children the opportunity to work together and engage in conversations that can boost understanding and enhance learning of STEM topics. To date, a considerable amount of research has focused on adult-child
This guide describes what took place during NYSCI’s Big Data for Little Kids workshop series, Museum Makers: Designing With Data. In addition to detailed outlines of the activities implemented during the program, this guide includes a glossary of recurrent terms and resources used throughout the workshops.
In 2017, as part of a National Science Foundation funded project, the New York Hall of Science (NYSCI) set out to teach Big Data concepts to children ages 4 – 8 years old. NYSCI developed and piloted an after-school program for families to utilize the data cycle as a method of informed
To better help museum visitors make sense of large data sets, also called “Big Data”, this study focused on the types of visual representations visitors recognize, and how they make meaning (or not) of various visuals. Individual adults and youths were shown five different data visualizations (one from each of five categories), one at a time, and asked if the visualization looked familiar and how it was read. This study found that Context and previous experience matters. Participants of all ages are familiar with a wide variety of visual displays of data. If a participant encounters a visual
This research explores how to support collaborative learning practices when science museum visitors employ their own personal mobile devices as Opportunistic User Interfaces (O-UIs) to manipulate a simulation-based museum exhibit. The sophisticated graphical capabilities of modern mobile devices have the potential to distract visitors, a phenomenon known as the heads-down effect. To study the impact of O-UI design on collaboration, a highly-dynamic "complex" O-UI was contrasted against more simplistic, "remote-control" OUI design, in the context of a cancer-treatment simulation. As expected
Much of the work done in the field of tangible interaction has focused on creating tools for learning; however, in many cases, little evidence has been provided that tangible interfaces offer educational benefits compared to more conventional interaction techniques. In this paper, we present a study comparing the use of a tangible and a graphical interface as part of an interactive computer programming and robotics exhibit that we designed for the Boston Museum of Science. In this study, we have collected observations of 260 museum visitors and conducted interviews with 13 family groups. Our
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TEAM MEMBERS:
Michael HornErin SoloveyR. Jordan CrouserRobert Jacob
In this paper we describe the design and initial evaluation of a tangible computer programming exhibit for children on display at the Boston Museum of Science. We also discuss five design considerations for tangible interfaces in science museums that guided our development and evaluation. In doing so, we propose the notion of passive tangible interfaces. Passive tangibles serve as a way to address practical issues involving tangible interaction in public settings and as a design strategy to promote reflective thinking. Results from our evaluation indicate that passive tangibles can preserve
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TEAM MEMBERS:
Michael HornErin SoloveyRobert Jacob
In this paper we discuss our approach to designing two public exhibitions, where our goal has been that of facilitating and supporting visitors' own contributions to the exhibits. The approach behind our work sees the role of technology that is supporting people's experiences of heritage as moving away from delivery of information, and towards enabling visitors to create the content of the exhibit. This approach is aimed at encouraging active reflection, discussion and appropriation, in the tradition of human-centred interaction design. In the paper we present two installations, "Re-Tracing
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TEAM MEMBERS:
Luigina CiolfiLiam BannonMikael Fernstrom