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Sebastian Becker; Lynn Knippertz; Stefan Ruzika; Jochen Kuhn – Physical Review Physics Education Research, 2023
Linear functions are an essential part of school and university education. Nevertheless, this topic is challenging for many students--especially in STEM topics. In this article, we contribute to the understanding of learning difficulties in the context of mathematical and physical problems. Here, we present the results of an eye-tracking study on…
Descriptors: Persistence, Context Effect, Learning Strategies, Eye Movements
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Charles J. Fitzsimmons; Lauren Woodbury; Jennifer M. Taber; Lauren K. Schiller; Marta K. Mielicki; Pooja G. Sidney; Karin G. Coifman; Clarissa A. Thompson – Grantee Submission, 2023
Health risks, when presented as ratios (e.g., two out of seven people), are challenging to understand, but visual displays can foster accurate understanding. We conducted three experiments to test how characteristics of numbers (Experiment 1), icon arrays (Experiments 1, 2, and 3), and number lines (Experiments 1 and 3) influenced people's ability…
Descriptors: Accuracy, Risk, Health, Visual Aids
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Worsley, Marcelo; Martinez-Maldonado, Roberto; D'Angelo, Cynthia – Journal of Learning Analytics, 2021
Multimodal learning analytics (MMLA) has increasingly been a topic of discussion within the learning analytics community. The Society of Learning Analytics Research is home to the CrossMMLA Special Interest Group and regularly hosts workshops on MMLA during the Learning Analytics Summer Institute (LASI). In this paper, we articulate a set of 12…
Descriptors: Learning Analytics, Artificial Intelligence, Data Collection, Statistical Inference
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Hunter, Rebecca A. – Journal of Chemical Education, 2021
An important objective of any analytical chemistry course is for students to generate and interpret data from the analysis of complex, real-world samples in order to assess the effectiveness of the analysis method, including the calibration. In this laboratory exercise, students directly compare calibration methods (external standards and standard…
Descriptors: Chemistry, Science Instruction, Food, Energy
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Gold, Anne U.; Atkins, Rachel; McNeal, Karen S. – Scholarship and Practice of Undergraduate Research, 2021
Research Experiences for Undergraduate (REU) programs often introduce students to scientific research and STEM career possibilities. However, the program impact on students and their research skill development is not well understood. In a case study with 10 REU students, the authors used eye-tracking and self-report data to determine student…
Descriptors: Undergraduate Students, Graphs, Data Interpretation, Scientific Research
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Kwon, Ji Hye; Cha, Hyun-Jung; Na, Seo-Ha; Um, Hyejin; Lim, Sung-Eun; Park, Changmi; Ga, Seok-Hyun; Kim, Chan-Jong – Asia-Pacific Science Education, 2022
Citizen science is expected to play an important role in relation to scientific literacy Vision III for students living in the future society. This study aims to identify the characteristics of extreme citizen science (ECS) and extreme citizen scientists (ECSs) and to derive key competencies of ECS?s using literature analysis from Korean and…
Descriptors: Citizen Participation, Scientific Research, Scientists, Scientific Literacy
Nagle, Kate; Hayes, Susan – IDEA Data Center, 2022
The purpose of this resource is to unpack Part B State Performance Plan/Annual Performance Report (SPP/APR) Indicator 3D to better understand how to use it to improve outcomes for children with individualized education programs (IEPs). Indicator 3D is a new subcomponent of Indicator 3 in the Office of Special Education Programs' (OSEP) FFY…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Monica Rogers – ProQuest LLC, 2022
Data visualization literacy can be defined as "the ability and skill to read and interpret visually represented data in and to extract information from data visualizations" (Lee, et al., 2017, p.552). Within the information science profession, data visualization literacy is an emerging and increasingly important competency within the…
Descriptors: Visual Aids, Information Literacy, Visual Literacy, Library Education
Sebahat Gok – ProQuest LLC, 2024
Many education researchers have advocated grounding abstract mathematical and scientific concepts in students' lived experiences, environmental interactions, and perceptions. This dissertation explores the causal effects of various grounding strategies in instructional settings, specifically on the topic of statistical sampling. The first chapter…
Descriptors: Teaching Methods, Attribution Theory, Statistics Education, Computer Simulation
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Hoekstra, R.; Vugteveen, J.; Warrens, M. J.; Kruyen, P. M. – International Journal of Social Research Methodology, 2019
Cronbach's alpha is the most frequently used measure to investigate the reliability of measurement instruments. Despite its frequent use, many warn for misinterpretations of alpha. These claims about regular misunderstandings, however, are not based on empirical data. To understand how common such beliefs are, we conducted a survey study to test…
Descriptors: Statistical Analysis, Researchers, Beliefs, Knowledge Level
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Belmonte-Mulhall, Colleen P.; Harrison, Judith R. – Journal of Applied School Psychology, 2023
Students with or at-risk of High Incidence Disabilities (HID) experience negative short and long-term outcomes. To intervene, many schools have elected to implement evidence-based practices within Multi-Tiered Systems of Support (MTSS), such as Response to Intervention (RTI). MTSS target the academic and behavioral progress of students deemed 'at…
Descriptors: Multi Tiered Systems of Support, Students with Disabilities, Student Behavior, Data Interpretation
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Pavelko, Stacey L.; Owens, Robert E., Jr. – Perspectives of the ASHA Special Interest Groups, 2023
Purpose: The purposes of this tutorial are (a) to describe a method of language sample analysis (LSA) referred to as SUGAR (Sampling Utterances and Grammatical Analysis Revised) and (b) to offer step-by-step instructions detailing how to collect, transcribe, analyze, and interpret the results of a SUGAR language sample. Method: The tutorial begins…
Descriptors: Sampling, Language Tests, Data Collection, Data Analysis
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Beachy, Rachel; Guo, Daibao; Wright, Katherine Landau; McTigue, Erin M. – Reading & Writing Quarterly, 2023
Despite many calls, there is little research addressing teachers' knowledge of reading assessments and how they utilize assessments for reading instruction. Therefore, the current research developed and validated a reliable measure of teachers' perceptions and knowledge of reading assessments, called the "Perceptions and Knowledge of…
Descriptors: Teacher Attitudes, Elementary School Teachers, Preschool Teachers, High School Teachers
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Harris, Frank – School Science Review, 2020
The year 2020 saw the outbreak of the COVID-19 pandemic that not only had wide-reaching social and economic consequences but also put healthcare systems under stress. Strategies for coping with the virus depended heavily on the interpretation of data. This article uses information from a UK upper tier local authority to examine how closely the…
Descriptors: Pandemics, COVID-19, Data Interpretation, Prediction
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Kaplan, Avi; Garner, Joanna K. – Journal of Experimental Education, 2020
In this commentary, we propose a framework for applying the Complex Dynamical Systems (CDS) approach in educational research. Drawing on the conceptual articles in the special issue for ontological, theoretical, and methodological principles, and on the empirical articles for examples of these principles' application, we suggest six interdependent…
Descriptors: Educational Research, Systems Approach, Theories, Goal Orientation
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