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Chia-Yu Hsu; Izumi Horikoshi; Rwitajit Majumdar; Hiroaki Ogata – Educational Technology & Society, 2024
This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…
Descriptors: Habit Formation, Behavior Change, Learning Analytics, Data Interpretation
Feldman-Maggor, Yael; Barhoom, Sagiv; Blonder, Ron; Tuvi-Arad, Inbal – Education and Information Technologies, 2021
Research based on educational data mining conducted at academic institutions is often limited by the institutional policy with regard to the type of learning management system and the detail level of its activity reports. Often, researchers deal with only raw data. Such data normally contain numerous fictitious user activities that can create a…
Descriptors: Data Analysis, Educational Research, Data Processing, Learning Analytics
Zullig, Keith J.; Matthews-Ewald, Molly R.; Huebner, E. Scott – AASA Journal of Scholarship & Practice, 2021
The School Climate Measure (SCM) is a comprehensive measure of school climate that has demonstrated significant psychometric support and available free of charge. The goal of this research-informed commentary is to provide readers with necessary knowledge to make an informed decision of the appropriateness of the SCM for use in their school or…
Descriptors: Educational Environment, Test Construction, Psychometrics, Attitude Measures
Hughes, Michael P. – College & Research Libraries, 2020
The digital environment has transformed how data on library material use is collected and reported, providing librarians with more information about usage but less clarity about how to interpret it. This article discusses current approaches to reporting and assessing library book use, addresses the question of what qualifies as a worthwhile use of…
Descriptors: Use Studies, Library Materials, Data Interpretation, Books
Matuk, Camillia; Uttal, David H. – Research in Science Education, 2020
Biologists use tree diagrams to illustrate phylogenetic relationships among species. However, both novices and experts are prone to misinterpret this notational form. A difficulty with reasoning with cladograms is that intuitive narrative conceptions of evolution as a linear progression interfere with perceiving the hierarchical relationships that…
Descriptors: Undergraduate Students, Biology, Visual Aids, Data Interpretation
Lenz, A. Stephen – Measurement and Evaluation in Counseling and Development, 2020
A guide for professional counselors and counseling researchers for calculating and interpreting Percent Improvement as an indicator of clinical significance is provided. Strategies for reporting findings are described and illustrated. Guidelines for contextualizing discussions of clinical significance within the boundaries of psychometric evidence…
Descriptors: Counseling, Research, Computation, Improvement
Kuha, Jouni; Mills, Colin – Sociological Methods & Research, 2020
It is widely believed that regression models for binary responses are problematic if we want to compare estimated coefficients from models for different groups or with different explanatory variables. This concern has two forms. The first arises if the binary model is treated as an estimate of a model for an unobserved continuous response and the…
Descriptors: Comparative Analysis, Regression (Statistics), Research Problems, Computation
Blair, Morgan; Zanidean, Alex – Strategic Enrollment Management Quarterly, 2020
Data interpretation can be difficult. Data visualization techniques from the manufacturing industry make interpretation easier. Control charts display trends in context, so it is clear when performance is truly changing and when it is not. Decision makers know when to act, when to maintain, and when to celebrate. This article discusses the use of…
Descriptors: Enrollment Management, Decision Making, Data Interpretation, Visualization
Wedin, Åsa; Norlund Shaswar, Annika – Studies in the Education of Adults, 2023
In this article, focus is on students' oral production in two classrooms in Swedish for immigrants (SFI). The study focuses on practices with interaction patterns where students are involved in negotiation of meaning. Theoretical basis is the importance of interpersonal interaction for language development, with a focus on students' use of varied…
Descriptors: Foreign Countries, Immigrants, Adult Education, Interaction
Berg, Stephanie A.; Moon, Alena – Chemistry Education Research and Practice, 2023
Both graph comprehension and data analysis and interpretation are influenced by one's prior knowledge and experiences. To understand how one's prior knowledge and experiences interact with their analysis of a graph, we conducted think-aloud interviews with general chemistry students as they interpreted a graph to determine optimal conditions for…
Descriptors: Graphs, Data Analysis, Data Interpretation, Science Process Skills
Bussani, Andrea; Comici, Cinzia – Physics Teacher, 2023
Data analysis and interpretation has always played a fundamental role in the scientific curricula of high school students. The spread of digitalization has further increased the number of learning environments whereby this topic can be effectively taught: as a matter of fact, the ever-growing diffusion of data science across diverse sectors of…
Descriptors: Learning Analytics, High Schools, Data Interpretation, Data Science
Preeti S. Kulkarni; Varuna S. Watwe; Sakshi S. Khatavkar; Akshay A. Khandagale; Sunil D. Kulkarni – Journal of Chemical Education, 2023
Flame Emission Spectroscopy (FES) is a powerful analytical technique widely used for identifying and quantifying elements in various samples. In this laboratory experiment, undergraduate students were introduced to FES and its significance in analytical chemistry. The experiment aimed to provide students with hands-on experience in constructing…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Spectroscopy
Sindhu Mathai; Parvathi Krishnan; Jaya Sreevalsan-Nair – Contemporary Education Dialogue, 2025
Graphical literacy or graphicacy is a critical component of scientific literacy. Graphs are used to integrate and represent complex sets of information requiring abstraction from perceptual experience. They form essential parts of the Mathematics and Science curriculum across school curricular stages. A key to developing meaningful pedagogic…
Descriptors: Multiple Literacies, Graphs, Elementary School Students, Middle School Students
Virginia A. Ressa; Sheryl S. Lazarus; Christopher M. Rogers; Kascinda Fleming; Mari Quanbeck – National Center on Educational Outcomes, 2024
Research on test accommodations provides valuable information that informs policy and practice. This report presents a synthesis of the research literature published in 2022 on testing accommodations for U.S. elementary and secondary students (K-12). The National Center on Educational Outcomes (NCEO) has reported on accommodations research since…
Descriptors: Elementary Secondary Education, Testing Accommodations, Academic Accommodations (Disabilities), Teacher Attitudes
Parobek, Alexander P.; Chaffin, Patrick M.; Towns, Marcy H. – Chemistry Education Research and Practice, 2021
Reaction coordinate diagrams (RCDs) are chemical representations widely employed to visualize the thermodynamic and kinetic parameters associated with reactions. Previous research has demonstrated a host of misconceptions students adopt when interpreting the perceived information encoded in RCDs. This qualitative research study explores how…
Descriptors: Visual Aids, Chemistry, Inferences, Data Interpretation