Heather Leary
University of Colorado Boulder
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Publication
Featured researches published by Heather Leary.
The Journal of the Learning Sciences | 2016
Samuel Severance; William R. Penuel; Tamara Sumner; Heather Leary
Cultural-historical activity theory (CHAT) approaches to intervention aim for transformative agency, that is, collective actions that expand and bring about new possibilities for activity. In this article, we draw on CHAT as a resource for organizing design research that promotes teachers’ agency in designing new science curriculum materials. We describe how CHAT informed our efforts to structure a collaborative design space in which teachers and other participants sought to develop new curriculum materials intended to help realize a new vision for science education. Specifically, we describe the tools and routines we deployed to support the design process, and we analyze the ways in which teachers took up elements of our design process as well as how they adapted, resisted, and suggested alternative tools and strategies to help develop new curriculum materials. In so doing, we illustrate ways in which CHAT can serve as a guide both for organizing collaborative design processes and for analyzing their efficacy.
Ksii Transactions on Internet and Information Systems | 2013
Philipp G. Wetzler; Steven Bethard; Heather Leary; Kirsten R. Butcher; Soheil Danesh Bahreini; Jin Zhao; James H. Martin; Tamara Sumner
Efficient learning from Web resources can depend on accurately assessing the quality of each resource. We present a methodology for developing computational models of quality that can assist users in assessing Web resources. The methodology consists of four steps: 1) a meta-analysis of previous studies to decompose quality into high-level dimensions and low-level indicators, 2) an expert study to identify the key low-level indicators of quality in the target domain, 3) human annotation to provide a collection of example resources where the presence or absence of quality indicators has been tagged, and 4) training of a machine learning model to predict quality indicators based on content and link features of Web resources. We find that quality is a multifaceted construct, with different aspects that may be important to different users at different times. We show that machine learning models can predict this multifaceted nature of quality, both in the context of aiding curators as they evaluate resources submitted to digital libraries, and in the context of aiding teachers as they develop online educational resources. Finally, we demonstrate how computational models of quality can be provided as a service, and embedded into applications such as Web search.
Journal of Science Teacher Education | 2016
Heather Leary; Samuel Severance; William R. Penuel; David Quigley; Tamara Sumner; Holly Devaul
This paper examines the impacts of technology (e.g., Chromebooks, Google Drive) on teacher learning and student activity in the development and implementation of a deeply digital high school biology unit. Using design-based implementation research, teachers co-designed with researchers and curriculum specialists a student-centered unit aligned to the Next Generation Science Standards (NGSS) that utilizes classroom technology. Qualitative and quantitative data were collected to understand the barriers that inhibit the implementation of a digital curriculum as well as the extent that teachers engage in the design process and begin to make shifts in their practice. We found that through the co-design process teachers began to shift their knowledge of NGSS, technology implementation, and adapted to tensions and barriers inherent in the process.
Archive | 2018
Heather Leary; Samuel Severance
Education researchers have sought to address the divide between research and persistent problems of practice faced by educators through technology, pedagogy, and methodology innovations (Anderson & Shattuck, 2012; Mishra & Koehler, 2007; Richey, 1998). Barriers to the successful development and implementation of technological innovations have impeded innovations from being taken up by educators to support students. Notably, educators and administrators in K-12 schools and districts may lack the expertise to properly implement technological innovations or show integrity to the rationale underlying innovations that stems from research for improving teaching and learning. All too often, research information is inaccessible with few knowledgeable brokers to properly leverage research expertise toward current problems of practice in a school or district.
Educational Technology Research and Development | 2012
Andrew Walker; Mimi Recker; Lei Ye; M. Brooke Robertshaw; Linda Sellers; Heather Leary
Library & Information Science Research | 2011
Anne R. Diekema; Wendy Holliday; Heather Leary
The Journal of Library Innovation | 2012
Heather Leary; Kacy Lundstrom; Pamela N. Martin
Journal of Science Education and Technology | 2014
Victor R. Lee; Heather Leary; Linda Sellers; Mimi Recker
Journal of Mathematics Teacher Education | 2016
Raymond Johnson; Samuel Severance; William R. Penuel; Heather Leary
Archive | 2008
Sarah Giersch; Heather Leary; Bart Palmer; Mimi Recker