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Oluwafemi, Adeagbo; Xulu, S.; Dlamini, N.; Luthuli, M.; Mhlongo, T.; Herbst, C.; Shahmanesh, M.; Seeley, J. – Field Methods, 2021
Transforming spoken words into written text in qualitative research is a vital step in familiarizing and immersing oneself in the data. We share a three-step approach of how data transcription facilitated an interpretative act of analysis in a study using qualitative data collection methods on the barriers and facilitators of HIV testing and…
Descriptors: Transcripts (Written Records), Data Analysis, Qualitative Research, Data Interpretation
Odegard, Nina – Contemporary Issues in Early Childhood, 2021
This article draws on a new materialist paradigm to explore bricolaging data from an early childhood research project through an immanent ethical lens. This lens enables the researcher to stretch towards non-hierarchical relationships in between subjects and objects, thinking and doing. A bricoleur explores and builds different…
Descriptors: Data Collection, Early Childhood Education, Ethics, Educational Research
Li, Yanyan; Zhang, Muhua; Su, You; Bao, Haogang; Xing, Shuang – Educational Technology Research and Development, 2022
Learning analytics dashboards have been developed to facilitate teacher guidance in computer-supported collaborative learning (CSCL). As yet, little is known about how teachers interpret dashboard information to facilitate guidance in their teaching practice. This study examined teachers' behavior patterns in interpreting information from…
Descriptors: Teacher Behavior, Teacher Attitudes, Educational Technology, Guidance
Wang, Fei; Huang, Zhenya; Liu, Qi; Chen, Enhong; Yin, Yu; Ma, Jianhui; Wang, Shijin – IEEE Transactions on Learning Technologies, 2023
To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…
Descriptors: Cognitive Measurement, Diagnostic Tests, Models, Prediction
Türker Biber, Belma; Yetkin Özdemir, Iffet Elif; Lesh, Richard – International Journal of Science and Mathematics Education, 2023
In this study, we investigated mathematics teacher's noticing of students' thinking in the context of mathematical modeling activities (MEAs) related to statistics. One middle-school mathematics teacher participated in the study, which adopted a case study design. Data were collected through interviews with the teacher based on video recordings of…
Descriptors: Middle School Teachers, Middle School Students, Mathematics Teachers, Attention
Kinnear, Virginia – Statistics Education Research Journal, 2023
This paper describes the role of data and task context in young children's interpretation of and reasoning about data tables. A design-based descriptive study was conducted with fourteen 5-year-old children in their first year of formal schooling. A picture storybook provided the data context for a data modelling activity that focused on…
Descriptors: Statistics Education, Data Analysis, Tables (Data), Thinking Skills
Danielle N. Maxwell; Jeffrey L. Spencer; Ethan A. Teich; Madeline Cooke; Braeden Fromwiller; Nathan Peterson; Linda Nicholas-Figueroa; Ginger V. Shultz; Kerri A. Pratt – Journal of Chemical Education, 2023
Reading and understanding scientific literature is an essential skill for any scientist to learn. While students' scientific literacy can be improved by reading research articles, an article's technical language and structure can hinder students' understanding of the scientific material. Furthermore, many students struggle with interpreting graphs…
Descriptors: Teaching Methods, Scientific Literacy, Science Instruction, Reading Comprehension
Elizabeth Talbott; Andres De Los Reyes; Devin M. Kearns; Jeannette Mancilla-Martinez; Mo Wang – Exceptional Children, 2023
Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…
Descriptors: Evidence Based Practice, Evaluation Methods, Special Education, Educational Research
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
Van Meter, Peggy N. – Frontline Learning Research, 2020
The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated…
Descriptors: Motivation, Learning Strategies, Measurement Techniques, Self Management
Pigott, Terri D.; Polanin, Joshua R. – Review of Educational Research, 2020
This methodological guidance article discusses the elements of a high-quality meta-analysis that is conducted within the context of a systematic review. Meta-analysis, a set of statistical techniques for synthesizing the results of multiple studies, is used when the guiding research question focuses on a quantitative summary of study results. In…
Descriptors: Meta Analysis, Literature Reviews, Best Practices, Effect Size
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
Hammerschmidt-Snidarich, Stephanie M.; Wagner, Dana; Parker, David C.; Wagner, Kyle – Assessment for Effective Intervention, 2021
This study examined reading tutors' interpretation of reading progress-monitoring graphs. A think-aloud procedure was used to evaluate tutors at two points in time, before and after a year of service as an AmeriCorps reading tutor. During their service, the reading tutors received extensive training and ongoing coaching. Descriptive results showed…
Descriptors: Reading Instruction, Tutors, Progress Monitoring, Graphs
Alfred Griswold – ProQuest LLC, 2021
This study examined how African American male community college presidents made meaning of their transformative leadership experiences. A semi-structured interviewing technique was utilized to collect data from seven African American male community college presidents. All interviews were transcribed using an Interpretative Phenomenological…
Descriptors: College Presidents, Community Colleges, African Americans, Males
Kathleen Gael Hall – ProQuest LLC, 2021
This dissertation explores how items encountered in the comprehension of language are stored in memory and subsequently accessed. Processing and comprehending language frequently requires the retrieval of items in memory so that a current linguistic element can be assigned an interpretation. For example, in a sentence such as "Miles loved his…
Descriptors: Linguistics, Recall (Psychology), Cognitive Processes, Language Processing