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 pilot and feasibility study will develop instructional workshops for an adult population of quilters to introduce them to computational thinking. By leveraging pre-existing social structures, skill sets, and engagement in quilting, the researchers hope to help participants develop computer science and computational thinking knowledge and skills.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
This poster was presented at the 2021 NSF AISL Awardee Meeting.
Collaborative robots – cobots – are designed to work with humans, not replace them. What learning affordances are created in educational games when learners program robots to assist them in a game instead of being the game? What game designs work best?
Maker Education scholarship is accumulating increasingly complex understandings of the kinds of learning associated with maker practices along with principles and pedagogies that support such learning. However, even as large investments are being made to spread maker education, there is little understanding of how organizations that are intended targets of such investments learn to develop new maker related educational programs. Using the framework of Expansive Learning, focusing on organizational learning processes resulting in new and unfolding forms of activity, this paper begins to fill
The goal of this three-year project is to leverage NSF’s investment in both SciGirls and computer science education by engaging 8-13 year-old girls in computational thinking and coding through innovative transmedia programming which inspires and prepares them for future computer science studies and careers.
Computer Science (CS) education at the middle school level using educational games has seen recent growth and shown promising results. Typically these games teach the craft of programming and not the perspectives required for computational thinking, such as abstraction and algorithm design, characteristic of a CS curriculum. This research presents a game designed to teach computational thinking via the problem of minimum spanning trees to middle school students, a set of evaluation instruments, and the results of an experimental pilot study. Results show a moderate increase in minimum spanning
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 poster was presented at the 2014 AISL PI Meeting in Washington, DC. It describes a project that will expand the functions and applications of FieldScope, a web-based science information portal currently supported by the National Geographic Society (NGS). The goal is to create a single, powerful infrastructure for Public Participation in Science Research (PPSR) projects that any organization can use to create their own project and support their own community of participants.
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National Geographic SocietyMary Ford
Museums and galleries collect more visitor data today than ever before. But how much of it gives us real insight into visitors motivations, behaviour, experiences and responses? And how much of it simply ticks a box on a funding form? Commissioned by some of the UK’s leading institutions, including Tate, The British Museum, V&A and the Imperial War Museum North, Morris Hargreaves McIntyre has tackled this insight deficit head on. In doing so, we have helped these organisations to move beyond the data routinely collected to get to the knowledge they actually need.
This paper details a long-term evolving effort to provide evaluation instruction designed to address specific information needs for selected target groups from a centralized location within a networked environment. Additionally, this paper examines a content design process that focuses on user-centered data-appropriate evaluation methods where the content of the instructional system is comprehensive, organized, and presented for use by library researchers and practitioners in a variety of library settings and situational contexts. Specific examples of web-based evaluation instructional systems
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TEAM MEMBERS:
John SneadCharles McClureJohn BertotPaul Jaeger
We describe OctoPocus, an example of a dynamic guide that combines on-screen feedforward and feedback to help users learn, execute and remember gesture sets. OctoPocus can be applied to a wide range of single-stroke gestures and recognition algorithms and helps users progress smoothly from novice to expert performance. We provide an analysis of the design space and describe the results of two experiments that show that OctoPocus is significantly faster and improves learning of arbitrary gestures, compared to conventional Help menus. It can also be adapted to a markbased gesture set
This report combines the views of education researchers, technology developers, educators, and researchers in emerging fields such as educational data mining and technology-supported evidence-centered design to present an expanded view of approaches to evidence. It presents the case for why the transition to digital learning warrants a re-examination of how we think about educational evidence. The report describes approaches to evidence-gathering that capitalize on digital learning data and draws implications for policy, education practice, and R&D funding.
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U.S. Department of EducationOffice of Educational Technology