Resources included in these libraries were submitted by ITEST projects or STELAR and are relevant to the work of the NSF ITEST Program. PDFs and/or URLs to the original resource are included in the resource description whenever possible. In some cases, full text publications are located behind publishers’ paywalls and a fee or membership to the third party site may be required for access. Permission for use must be requested through the publisher or author listed in each entry.
Going Beyond Hooked Participants: The Nibble-and- Drop Framework for Classifying Citizen Science Participation
PublicationMany citizen science (CS) programs aim to grow and sustain a pool of enthusiastic participants who consistently contribute their efforts to a specific scientific endeavor. Consequently, much research has explored CS participants’ motivations and their relationship to participant recruitment and retention. However, much of this research has focused on actively participating citizen scientists. If researchers want to elucidate the relationship between participant factors (such as demographics and motivations) and participant retention, it is necessary to develop a more comprehensive picture of
Interest Development, Self-related Information Processing, and Practice
PublicationEducators have a critical stake in supporting the development of interest—as the presence of interest benefits sustained engagement and learning. Neuroscientific research has shown that interest is distinct from, but overlapping with, self-related information processing, the personally relevant connections that a learner makes to content (e.g., mathematics). We propose that consideration of self-related information processing is critical for encouraging interest development in at least two ways. First, support for learners to make self-related connections to content may provide a basis for the
Research on Continuous Improvement: Exploring the Complexities of Managing Educational Change
PublicationAs a result of the frustration with the dominant “What Works” paradigm of large-scale research-based improvement, practitioners, researchers, foundations, and policymakers are increasingly embracing a set of ideas and practices that can be collectively labeled continuous improvement (CI) methods. This chapter provides a comparative review of these methods, paying particular attention to CI methods’ intellectual influences, theories of action, and affordances and challenges in practice. We first map out and explore the shared intellectual forebears that CI methods draw on. We then discuss three
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PublicationThe Better Buildings Workforce Accelerator K-12 Resource Fact Sheet
PublicationResearch on Continuous Improvement: Exploring the Complexities of Managing Educational Change
PublicationAs a result of the frustration with the dominant “What Works” paradigm of large-scale research-based improvement, practitioners, researchers, foundations, and policymakers are increasingly embracing a set of ideas and practices that can be collectively labeled continuous improvement (CI) methods. This chapter provides a comparative review of these methods, paying particular attention to CI methods’ intellectual influences, theories of action, and affordances and challenges in practice. We first map out and explore the shared intellectual forebears that CI methods draw on. We then discuss three
Assessing Research-Practice Partnerships: Five Dimensions of Effectiveness
PublicationWhile research-practice partnerships have emerged as a promising means of creating and applying relevant research evidence in settings where young people grow and learn, we’ve lacked definition in terms of what constitutes an effective partnership and how RPPs, funders, and other stakeholders might gauge and demonstrate such effectiveness. Offering a clear picture of the common goals that cut across diverse types of partnerships, Assessing Research-Practice Partnerships: Five Dimensions of Effectiveness outlines the elements that members of existing RPPs have reported are essential to their
The landscape of Block-based programming: Characteristics of block-based environments and how they support the transition to text-based programming
PublicationBlock-based programming (BBP) environments have become increasingly commonplace computer science education. Despite a rapidly expanding ecosystem of BBP environments, text-based languages remain the dominant programming paradigm, motivating the transition from BBP to text-based programming (TBP). Support students in transitioning from BBP to TBP is an important and open design question. This work identifies 101 unique BBP environments, analyzes the 46 of them and identifies different design approaches used to support the transition to TBP. The contribution of this work is to provide a snapshot
To block or not to block, that is the question: students' perceptions of blocks-based programming
PublicationBlocks-based programming tools are becoming increasingly common in high-school introductory computer science classes. Such contexts are quite different than the younger audience and informal settings where these tools are more often used. This paper reports findings from a study looking at how high school students view blocks-based programming tools, what they identify as contributing to the perceived ease-of-use of such tools, and what they see as the most salient differences between blocks-based and text-based programming. Students report that numerous factors contribute to making blocks