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Home/ Bucknell Digital Pedagogy & Scholarship/ Contents contributed and discussions participated by Todd Suomela

Contents contributed and discussions participated by Todd Suomela

Todd Suomela

Digital History & Argument White Paper - Roy Rosenzweig Center for History and New Media - 0 views

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    "This white paper is the product of the Arguing with Digital History Workshop organized by Stephen Robertson and Lincoln Mullen of George Mason University, with funding from the Andrew W. Mellon Foundation. The two-day workshop, which involved twenty-four invited participants at different stages in their careers, working in a variety of fields with a range of digital methods, was conceived with a focus on one particular form of digital history, arguments directed at scholarly audiences and disciplinary conversations. Despite recurrent calls for digital history in this form from digital and analog historians, few examples exist. The original aim of the workshop was to promote digital history that directly engaged with historiographical arguments by producing a white paper that addressed the conceptual and structural issues involved in such scholarship. Input from the participants expanded the scope of the white paper to also elaborate the arguments made by other forms of digital history and address the obstacles to professional recognition of those interpretations. The result was a document that aims to help bridge the argumentative practices of digital history and the broader historical profession. On the one hand, it aims to demonstrate to the wider historical discipline how digital history is already making arguments in different forms than analog scholarship. On the other hand, it aims to help digital historians weave the scholarship they produce into historiographical conversations in the discipline."
Todd Suomela

The State of Open Data Report 2017 - 0 views

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    "Figshare's annual report, The State of Open Data 2017, looks at global attitudes towards open data. It includes survey results of 2,300 respondents and a collection of articles from industry experts, as well as a foreword from Jean-Claude Burgelman, Head of Unit Open Data Policies and Science Cloud at the European Commission. Its key finding is that open data has become more embedded in the research community - 82% of survey respondents are aware of open data sets and more researchers are curating their data for sharing."
Todd Suomela

From Good Intentions to Real Outcomes - Connected Learning Alliance - 0 views

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    "The growth of online communication, media, and gaming is driving dramatic changes in how we learn. Responding to these shifts, new forms of technology-enhanced learning and instruction, such as personalized learning, open online courses, educational games and apps, and tools for learning analytics, are garnering significant public attention and private investment. These technologies hold tremendous promise for improving learning experiences and outcomes. Despite this promise, however, evidence is mounting that these new technologies tend to be used and accessed in unequal ways, and they may even exacerbate inequity. In February and May 2017, leading researchers, educators, and technologists convened for in-depth working sessions to share challenges and solutions for how learning technologies can provide the greatest benefits for our most vulnerable learners.The aim was to develop guiding principles and a shared agenda for how educational platforms and funders can best serve diverse and disadvantaged learners. These principles include inclusive design processes, ways of addressing barriers, and meth- ods to effectively measure impact. This report synthesizes the research, learnings, and recommendations that participants offered at the two workshops. After framing the nature of the challenge, the report then describes promising strategies and examples, and it ends with recommendations for next steps in research and coalition building."
Todd Suomela

Home - OpenMinTeD - 0 views

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    "OpenMinted sets out to create an open, service-oriented ep-Infrastructure for Text and Data Mining (TDM) of scientific and scholarly content. Researchers can collaboratively create, discover, share and re-use Knowledge from a wide range of text-based scientific related sources in a seamless way."
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