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Carla Quinci – Interpreter and Translator Trainer, 2024
This study combines product- and process-oriented research methods and tools to observe whether and how the presence of pre-translated text affects translation quality and influences the translator's research patterns. It is part of the LeMaTTT project, a simulated longitudinal empirical study exploring the impact of MT on info-mining and thematic…
Descriptors: Artificial Intelligence, Translation, Data Collection, Information Retrieval
Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
Chelsea McCracken; Ruby MacDougall – ITHAKA S+R, 2025
Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Libraries have played a leading role in developing research data services, and on most university campuses they provide the largest and most diverse…
Descriptors: Researchers, Data Analysis, Research Methodology, Universities
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Kim, Young Ae; Monroe, Emily; Nielsen, Hayley; Cox, Jonathan; Southard, Katelyn M.; Elfring, Lisa; Blowers, Paul; Talanquer, Vicente – Journal of Chemical Education, 2020
Formative assessment has been proven to be highly effective in improving student understanding. Nevertheless, many instructors struggle to engage in this practice, particularly when working in large-enrollment classrooms. To facilitate and foster the implementation of formative assessment in chemistry courses, undergraduate students at our…
Descriptors: Undergraduate Students, Ability, Data Collection, Data Interpretation
Campbell, Rebecca; Goodman-Williams, Rachael; Feeney, Hannah; Fehler-Cabral, Giannina – American Journal of Evaluation, 2020
The purpose of this study was to develop triangulation coding methods for a large-scale action research and evaluation project and to examine how practitioners and policy makers interpreted both convergent and divergent data. We created a color-coded system that evaluated the extent of triangulation across methodologies (qualitative and…
Descriptors: Mixed Methods Research, Action Research, Data Interpretation, Coding
Daugherty, Lindsay – Grantee Submission, 2020
"Stackable credential programs" are designed to make it easier for students to earn multiple postsecondary certificates or degrees in a field as they advance in their careers. To examine the stacking of credentials in Ohio and inform ongoing efforts to scale stackable credential programs, the Ohio Department of Higher Education and the…
Descriptors: Data Use, Educational Improvement, Postsecondary Education, Credentials
Florin D. Salajan; Tavis D. Jules – International Perspectives on Education and Society, 2020
Over the past few years, "assemblage theory or assemblage thinking" has garnered increasing attention in educational research, but has been used only tangentially in explications of the nature of comparative and international education (CIE) as a field. This conceptual examination applies an assemblage theory lens to explore the contours…
Descriptors: Comparative Education, International Education, Interdisciplinary Approach, Scholarship
Gorski, Paul; Swalwell, Katy – ASCD, 2023
"Fix Injustice, Not Kids and Other Principles for Transformative Equity Leadership" offers a deep dive into the leadership values, commitments, and practices that help educational leaders create and sustain equitable schools and districts. Drawing from their extensive equity and inclusion work with schools, Paul Gorski and Katy Swalwell…
Descriptors: Transformational Leadership, Equal Education, Elementary Secondary Education, Leadership Responsibility
Di Gangi, Paul M.; Wech, Barbara A.; Hamrick, Jennifer D.; Worrell, James L.; Goh, Samuel H. – Journal of Cybersecurity Education, Research and Practice, 2023
Internet-of-Things (IoT) research has primarily focused on identifying IoT devices' organizational risks with little attention to consumer perceptions about IoT device risks. The purpose of this study is to understand consumer risk perceptions for personal IoT devices and translate these perceptions into guidance for future research directions. We…
Descriptors: Risk Assessment, Consumer Economics, Computer Security, Information Security
Tsangaridou, Niki; Charalambous, Charalambos Y. – Quest, 2023
Focusing on systematic observation, one of the most potent methods of studying teaching quality, represents one of the numerous contributions of Daryl Siedentop to the profession. While he had a clear focus on issues of validity and reliability concerning systematic observation, over the past decades, attention to such issues appears to have…
Descriptors: Physical Education Teachers, Observation, Validity, Reliability
Illinois Community College Board, 2023
Data about compensation received by employees in Illinois' 48 public community colleges are gathered by the Illinois Community College Board (ICCB). Data in the Fiscal Year 2023 Salary Report, which derive from the ICCB Faculty, Staff, and Salary (C1) Data and Supplementary Faculty, Staff, and Salary Information, reflect the census date of October…
Descriptors: Community Colleges, Public Colleges, Salaries, College Faculty
John Jerrim – Review of Education, 2023
Two commonly used approaches to capturing information about teachers are random probability surveys and teacher panels. This paper reviews the strengths and limitations of these two approaches in the context of capturing information about the teacher workforce. A case study is then presented drawing upon recent teacher survey data collections in…
Descriptors: Foreign Countries, Teacher Surveys, Data Collection, Test Construction
W. Tidwell; C. O. Anhalt; R. Cortez; B. R. Kohler – International Journal of Mathematical Education in Science and Technology, 2023
This study examines prospective elementary teachers' growth and development of competencies, conceptions, and perceptions of mathematical modelling in a mathematics content course for elementary teachers. A series of lessons were implemented that engaged students in the modelling process through modelling tasks. The goal was to capture prospective…
Descriptors: Preservice Teachers, Mathematical Models, Mathematics Curriculum, Elementary Education
Bergner, Yoav; von Davier, Alina A. – Journal of Educational and Behavioral Statistics, 2019
This article reviews how National Assessment of Educational Progress (NAEP) has come to collect and analyze data about cognitive and behavioral processes (process data) in the transition to digital assessment technologies over the past two decades. An ordered five-level structure is proposed for describing the uses of process data. The levels in…
Descriptors: National Competency Tests, Data Collection, Data Analysis, Cognitive Processes

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