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Kennedy, Mary Lee, Ed. – Association of Research Libraries, 2019
This issue of Research Library Issues looks at the critical role and participation of libraries and librarians in supporting the data science revolution. The articles contained in this issue are: (1) Data Literacy as a Pathway to Data Science at Georgia Tech (Catherine Murray-Rust, with Ameet Doshi, Jay Forrest, Ximin Mi, and Alison Valk); (2) New…
Descriptors: Research Libraries, Academic Libraries, Educational Trends, Data Analysis
Thiem, Alrik – Sociological Methods & Research, 2022
Qualitative Comparative Analysis (QCA) is a relatively young method of causal inference that continues to diffuse across the social sciences. However, recent methodological research has found the conservative (QCA-CS) and the intermediate solution type (QCA-IS) of QCA to fail fundamental tests of correctness. Even under conditions otherwise ideal…
Descriptors: Comparative Analysis, Causal Models, Inferences, Risk
Galeriu, Calin – Physics Teacher, 2022
The determination of the speed of sound in air is a classical experiment, usually performed with a resonance tube apparatus. The measured value can be checked against Eq. (1), which describes the temperature dependence of the speed of sound in dry air. A modern implementation of this speed of sound investigation uses an Arduino Uno microcontroller…
Descriptors: Acoustics, Physics, Measurement Equipment, Motion
Weaver, John – Educational Philosophy and Theory, 2022
In this article I explore Serres' idea of science and how it impacted his overall work. This approach to understanding Serres' idea of science is much like working with Nietzsche. I look at the areas Serres viewed as the dangers of science including what he referred to as a tsunami of data and the primary focus on methods. I end with Serres third…
Descriptors: Educational Philosophy, Scientific Research, Data Collection, Research Methodology
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2022
Takers of educational tests often receive proficiency levels instead of or in addition to scaled scores. For example, proficiency levels are reported for the Advanced Placement (AP®) and U.S. Medical Licensing examinations. Technical difficulties and other unforeseen events occasionally lead to missing item scores and hence to incomplete data on…
Descriptors: Computation, Data Analysis, Educational Testing, Accuracy
Pizzolato, Larissa A. V.; Tsuji, Leonard J. S. – School Science and Mathematics, 2022
Citizen science, or the public participation in scientific research, is a mechanism for student engagement, and co-creation of knowledge in the scientific research process. Through participation in citizen science initiatives within school-based learning environments, students can gain field experience, direct project scope, and contribute to…
Descriptors: Citizen Participation, Scientific Research, Student Participation, Student Research
Best, Paul; Badham, Jennifer; McConnell, Tracey; Hunter, Ruth F. – International Journal of Social Research Methodology, 2022
Participatory Theme Elicitation (PTE) is a new approach to increasing user-involvement in qualitative data analysis. In this five-step method, participants independently identify themes in the data using open card sorting, and are supported in their development of a set of themes that reflect all participant views. We describe and evaluate PTE…
Descriptors: Qualitative Research, Data Analysis, Participation, Information Management
Arslan, Okan; Xing, Wanli; Inan, Fethi A.; Du, Hanxiang – Journal of Computer Assisted Learning, 2022
Background: There has been increasing interest in online professional learning networks in a variety of social media platforms, especially in Twitter. Twitter offers immediacy, personalization, and support of networks to increase professional knowledge and the sense of membership. Knowing the topics discussed in Twitter and the factors that affect…
Descriptors: Electronic Learning, Social Media, Networks, Communities of Practice
Trantham, Pamela S.; Sikorski, Jonathon; de Ayala, R. J.; Doll, Beth – Educational Assessment, Evaluation and Accountability, 2022
There is an extensive need for school systems to reliably assess the data literacy and data use skills of their educators. To address this need, the current study seeks to refine the NU Data Knowledge Scale (NUDKS) for assessing teacher data literacy for classroom data. A data-based decision-making framework provides the theoretical underpinnings…
Descriptors: Item Response Theory, Information Literacy, Data Use, Knowledge Level
Karakaya-Ozyer, Kubra; Yildiz, Zeki – Education and Information Technologies, 2022
The purpose of the current research was to develop an electronic performance support system (EPSS) for quantitative data analysis by using design-based research. https://nicelanalizlericindesteksistemi.blogspot.com/ website was designed in Turkish to address the needs of educational researchers. There were four phases in the study. In the first…
Descriptors: Program Development, Program Evaluation, Educational Technology, Performance Technology
Selwyn, Neil – Research Papers in Education, 2022
Schools now face considerable pressure to be using educational data to inform decision-making and become more efficient. Key to this rise of the 'data-driven' school is the increased use of digital technologies -- with computer-based data processing fuelling hopes for the technology-driven 'smart schooling' and a general 'datafication' of…
Descriptors: Data Use, Decision Making, Computer Uses in Education, Foreign Countries
Andrikopoulou, Angeliki; Rowley, Jennifer; Walton, Geoff – New Review of Academic Librarianship, 2022
Academic libraries and their staff are increasingly involved in the Research Data Management (RDM) practices and processes in their universities. This article explores the impact that such initiatives have on the image and identity of academic libraries. This paper proposes that involvement in and leadership of RDM university practices has the…
Descriptors: Academic Libraries, Data Analysis, Information Management, Library Role
Stoudt, Sara – Journal of Statistics and Data Science Education, 2022
To paraphrase John Tukey, the beauty of working with data is that you get to "play in everyone's backyard." A corollary to this statement is that working with data necessitates collaboration. Although students often learn technical workflows to wrangle and analyze data, these workflows may break down or require adjustment to accommodate…
Descriptors: Collaborative Writing, Communication Skills, Writing Strategies, Writing Processes
White, Jason J. G. – Journal of Science Education for Students with Disabilities, 2022
In using software to write a scientific, technical, or other scholarly document, authors have essentially two options. They can either write it in a 'what you see is what you get' (WYSIWYG) editor such as a word processor, or write it in a text editor using a markup language such as HTML, LATEX, Markdown, or AsciiDoc. This paper gives an overview…
Descriptors: Computer Software, Writing (Composition), Technical Writing, Programming Languages
Chopra, Shivangi; Golab, Lukasz – International Journal of Work-Integrated Learning, 2022
Benefits of cooperative (co-op) education have been investigated, mainly by surveying students already enrolled in co-op programs. In contrast, this paper investigates prospective students' perceptions of co-op. This was done by analyzing over 33,000 applications to undergraduate engineering programs in a large North American university. Text…
Descriptors: Undergraduate Students, Engineering Education, Student Attitudes, Cooperative Learning