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Jessie King; Barnaby Kelly; Nayla Rhein; Rhonda Rosengren – Biochemistry and Molecular Biology Education, 2024
To best prepare students for the real-world research environment, key skills, including experimental design, data analysis, communication of results, and critical thinking, should be key components of undergraduate science courses. Furthermore, the impact of the COVID-19 pandemic on in-person teaching has resulted in a need to develop courses that…
Descriptors: Undergraduate Students, Laboratory Experiments, Research Design, Data Interpretation
Wouter de Wit; D. Roeg; N. Frielink; P. J. C. M. Embregts – Journal of Intellectual & Developmental Disability, 2024
Background: Sexual health includes physical, emotional, mental, and social wellbeing related to sexuality. Given people with mild intellectual disabilities' reliance on relatives and support staff, it is important to explore the latter's understanding of sexual health. Method: Relatives (n = 7) and support staff (n = 15) of people with mild…
Descriptors: Sexuality, Health Behavior, Health Promotion, Mild Intellectual Disability
Ishamina Athirah Gardiner; Andrew Littlejohn; Sarah Boye – Language Teaching Research, 2024
This article examines the use of the repertory grid technique as a method to investigate learner perceptions in language education research. An important issue raised in this article concerns how far a researcher's agenda may be unintentionally imposed onto a research study which is investigating learners' perceptions, and how far the ensuing data…
Descriptors: Student Attitudes, Language Research, Research Methodology, Data Interpretation
Tamara Nelson-Fromm; Bahare Naimipour; Tamara Shreiner; Mark Guzdial – Social Education, 2024
Data literacy, an important goal for social studies education, involves teaching students how to comprehend, analyze, interpret, evaluate, create, and argue with data and data visualizations such as timelines, maps, and graphs. Digital data visualizations support rapid inquiry and explorations that would be difficult on paper - such as adding data…
Descriptors: Visual Aids, Social Studies, Educational Technology, Technology Uses in Education
Marsela Thanasi-Boçe; Julian Hoxha – Education and Information Technologies, 2024
Entrepreneurship education has evolved to meet the demands of a dynamic business environment, necessitating innovative teaching methods to prepare entrepreneurs for market uncertainties. Large Language Models (LLMs) like the Generative Pre-trained Transformer 4 (GPT-4), recognized for their exceptional performance on public datasets, are examined…
Descriptors: Entrepreneurship, Business Administration Education, Technology Integration, Artificial Intelligence
Hunter, Rebecca A.; Kovarik, Michelle L. – Journal of Chemical Education, 2022
Students develop process skills through repeated practice of data interpretation, problem solving, and critical thinking. The primary literature provides a rich source of data and application problems to engage students in this practice within the context of chemistry content knowledge. However, most existing classroom activities based on the…
Descriptors: Science Process Skills, Problem Solving, Critical Thinking, Skill Development
Cintron, Dakota W.; Montrosse-Moorhead, Bianca – American Journal of Evaluation, 2022
Despite the rising popularity of big data, there is speculation that evaluators have been slow adopters of these new statistical approaches. Several possible reasons have been offered for why this is the case: ethical concerns, institutional capacity, and evaluator capacity and values. In this method note, we address one of these barriers and aim…
Descriptors: Evaluation Research, Evaluation Problems, Evaluation Methods, Models
Victoria Savalei; Yves Rosseel – Structural Equation Modeling: A Multidisciplinary Journal, 2022
This article provides an overview of different computational options for inference following normal theory maximum likelihood (ML) estimation in structural equation modeling (SEM) with incomplete normal and nonnormal data. Complete data are covered as a special case. These computational options include whether the information matrix is observed or…
Descriptors: Structural Equation Models, Computation, Error of Measurement, Robustness (Statistics)
Office for Civil Rights, US Department of Education, 2025
The 2021-22 Civil Rights Data Collection (CRDC) is a mandatory survey of all public school districts and schools serving students in preschool through grade 12 in the 50 states, Washington, D.C., and the Commonwealth of Puerto Rico and therefore includes data from 17,704 public school districts also known as local education agencies (LEAs) and…
Descriptors: Public Schools, School Districts, Data Collection, Access to Education
Lonneke Boels; Arthur Bakker; Wim Van Dooren; Paul Drijvers – Educational Studies in Mathematics, 2025
Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…
Descriptors: Secondary School Students, Learning Strategies, Data Interpretation, Graphs
Tomek, Sara; Robinson, Cecil – Measurement: Interdisciplinary Research and Perspectives, 2021
Typical longitudinal growth models assume constant functional growth over time. However, there are often conditions where trajectories may not be constant over time. For example, trajectories of psychological behaviors may vary based on a participant's age, or conversely, participants may experience an intervention that causes trajectories to…
Descriptors: Growth Models, Statistical Analysis, Hierarchical Linear Modeling, Computation
Giebel, Sonia – Sociology of Education, 2023
U.S. colleges and universities are under increasing pressure to appear racially diverse, but have yet to account systematically for a quickly growing contingent of multiracial-identifying students. Drawing on interviews with multiracial-identifying undergraduates at Western University, I demonstrate how everyday university practices compromise…
Descriptors: Undergraduate Students, Multiracial Persons, Racial Identification, Student Diversity
Frischemeier, Daniel; Schnell, Susanne – Mathematics Education Research Journal, 2023
As data are 'numbers with context' (Cobb & Moore, 1997), contextual knowledge plays a prominent role in dealing with statistics. While insights about a specific context can further the depth of interpreting and evaluating outcomes of data analysis, research shows how it can also hinder relying on data especially if results differ from…
Descriptors: Elementary School Students, Context Effect, Data Analysis, Case Studies
Lindy Marie Messer – ProQuest LLC, 2023
Many departments seek to improve their equity, diversity, and inclusion using data-informed methods; however, not much is known about how closely department leadership aligns their review practices with appropriate theory. This dissertation seeks to explore four areas: 1) how are equity, diversity, and inclusion are being conceptualized (implied…
Descriptors: Equal Education, Diversity, Inclusion, Program Evaluation
Alejandra Villalobos Melendez – ProQuest LLC, 2023
Institutional researchers (IRs) at higher education institutions fulfill a crucial role in identifying, processing, and disseminating data to administrators. Identifying effective ways for leaders to make sense of data is essential to advancing the most critical institutional issues, including achieving equitable student outcomes. However, leaders…
Descriptors: Institutional Research, Equal Education, Community College Students, College Administration