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Mengxiao Zhu; Mo Zhang; Lin Gu – Language Assessment Quarterly, 2023
Recent technology advances have enabled the collection of keystroke logs during writing, a non-intrusive approach to collecting writing process data that could provide insights into writers' editing and revising behaviors in the writing process. Using keystroke logs from 761 middle school students in the US, this study investigated the association…
Descriptors: Editing, Revision (Written Composition), Writing Attitudes, Middle School Students
Razvan Paroiu; Stefan Ruseti; Mihai Dascalu; Stefan Trausan-Matu; Danielle S. McNamara – Grantee Submission, 2023
The exponential growth of scientific publications increases the effort required to identify relevant articles. Moreover, the scale of studies is a frequent barrier to research as the majority of studies are low or medium-scaled and do not generalize well while lacking statistical power. As such, we introduce an automated method that supports the…
Descriptors: Science Education, Educational Research, Scientific and Technical Information, Journal Articles
Good, Megan R. – Assessment Update, 2023
This issue of "Assessment Update" presents a three part series on fixing assessments. In Part 1: "Assessment Standards are Broken," David Eubanks highlights the challenges with the assessment standards articulated by institutional accreditors. In this article, Part 2: Megan R. Good, discusses the opportunity costs faced and…
Descriptors: Administrative Organization, Educational Quality, Outcomes of Education, Student Evaluation
Elise Kokenge; Laura B. Holyoke – American Association for Adult and Continuing Education, 2023
A comparative longitudinal data analysis between two online non-thesis master's programs--natural resource management and environmental science--in a college of natural resources to determine the relationship between student characteristics and disenrollment risks. Risks varied between the two programs, with significance found to increase the risk…
Descriptors: Electronic Learning, Graduate Students, Longitudinal Studies, Data Analysis
David Kaplan; Kjorte Harra – OECD Publishing, 2023
This report aims to showcase the value of implementing a Bayesian framework to analyse and report results from international large-scale surveys and provide guidance to users who want to analyse the data using this approach. The motivation for this report stems from the recognition that Bayesian statistical inference is fast becoming a popular…
Descriptors: Bayesian Statistics, Statistical Inference, Data Analysis, Educational Research
Amanda L. Witte; Lisa L. Knoche; Susan M. Sheridan; Natalie Koziol – Grantee Submission, 2023
The use of data to inform instruction has been linked to improved student outcomes, early identification of intervention needs, and teacher decision-making and efficacy. Additionally, data are used as a means of accountability within educational settings. However, little is known about data use practices among early grades teachers. The purpose of…
Descriptors: Early Childhood Teachers, Elementary School Teachers, Preschool Teachers, Data Use
Prinsloo, Paul; Slade, Sharon – New Directions for Institutional Research, 2019
As institutions of higher education increasingly look to data as evidence to support planning, allocate resources, and inform teaching and pedagogy, ethical considerations regarding learning analytics have evolved from being on the margins to more central in the conversations surrounding institutional uses of student data. After outlining this…
Descriptors: Higher Education, College Students, Student Records, Data
Johnson, Jeffrey Alan – New Directions for Institutional Research, 2019
Ethical issues are structurally present in the design and choice of data; the interaction between problem, model, and intervention; and the scientism that supports data analytics' claims to authority. In this chapter, I argue against three social assumptions behind common implementations of learning analytics: data realism, technological…
Descriptors: Ethics, Data, Learning Analytics, Realism
Patel, Pooja; Sarno, Dawn M.; Lewis, Joanna E.; Shoss, Mindy; Neider, Mark B.; Bohil, Corey J. – Applied Cognitive Psychology, 2019
Understanding how computer users allocate attention to features of potentially dangerous emails could help mitigate costly errors. Which features are salient? How stable is attention allocation across variation in email features? We attempted to measure the mental salience of several email features common in spam and/or phishing emails. We created…
Descriptors: Deception, Electronic Mail, Information Security, Data Collection
Woods, Gordon – School Science Review, 2019
Using the layout described here (which could be photocopied or handwritten), students can see how the periodic table was first envisaged after finding similarities in the properties of common elements. Then, with more discoveries some gaps were filled and, when additional elements did not fit, new groups had to be included.
Descriptors: Science Instruction, Chemistry, Charts, Scientific Principles
DeCino, Daniel A.; Waalkes, Phillip L. – International Journal of Research & Method in Education, 2019
Thoroughly conceptualized and designed member checks can strengthen credibility in qualitative research. Member checks can help researchers increase accuracy of their findings, reflect on their topic, and create change. Although member checks are widely used, numerous researchers have argued that they are often underdeveloped in terms of design…
Descriptors: Epistemology, Qualitative Research, Credibility, Interviews
McDuff, Emeline; Lanovaz, Marc J.; Morin, Diane; Vona, Mélissa; Kheloufi, Yasmine; Giannakakos, Antonia R. – Journal of Applied Research in Intellectual Disabilities, 2019
Background: Due to deficits in adaptive and cognitive functioning, productivity may pose challenges for individuals with intellectual disability in the workplace. Method: Using a changing-criterion embedded in a multiple baseline across participants design, we examined the effects of differential reinforcement of high rates of behaviour (DRH) on…
Descriptors: Adults, Job Performance, Productivity, Intellectual Disability
Nissen, Jayson; Donatello, Robin; Van Dusen, Ben – Physical Review Physics Education Research, 2019
Physics education researchers (PER) commonly use complete-case analysis to address missing data. For complete-case analysis, researchers discard all data from any student who is missing any data. Despite its frequent use, no PER article we reviewed that used complete-case analysis provided evidence that the data met the assumption of missing…
Descriptors: Physics, Science Education, Educational Research, Data
Finding, Accessing, and Using Secondary Data for Research on Gifted Education and Advanced Academics
Renbarger, Rachel L.; Sulak, Tracey N.; Kaul, Corina R. – Journal of Advanced Academics, 2019
Secondary data analysis can benefit researchers of advanced academics by providing large sample sizes and a variety of data on multiple topics. However, using secondary data comes with unique challenges. This article will outline how gifted education researchers can find, access, and use secondary data. Data are available on children from birth to…
Descriptors: Data Use, Access to Information, Educational Research, Gifted Education
Krahn, Gloria L. – Intellectual and Developmental Disabilities, 2019
The U.S. approach to the health of people with intellectual and developmental disabilities (IDD) is fraught with paradox. The health of this population has been of longstanding concern, yet we understand their health less well than many other groups. The U.S. spends much more per person on the well-being of people with IDD compared to the general…
Descriptors: Health Promotion, Data, Incidence, Intellectual Disability