NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers3
Laws, Policies, & Programs
No Child Left Behind Act 20011
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 32 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Wei Liu; Yingxue Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
Age is one of the important factors affecting individual differences in second language acquisition. The development of cognitive ability also has certain influence on second language acquisition, depending on whether this influence is positive or negative. This paper discusses the educational significance of the age factor in English teaching…
Descriptors: Secondary School Students, Secondary School Teachers, English (Second Language), Second Language Learning
Joshua Bleiberg; Tuan D. Nguyen – Annenberg Institute for School Reform at Brown University, 2025
Educator labor markets vary considerably across the country and can change quickly during recessions. We use data from the Quality Workforce Indicators (QWI) on educators in Elementary and Secondary Schools from 2000-01 to 2022-23. We demonstrate how to transform the quarter-level data in the QWI to construct valid educator labor market measures.…
Descriptors: Elementary School Teachers, Secondary School Teachers, Faculty Mobility, Teacher Burnout
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Peer reviewed Peer reviewed
Direct linkDirect link
Melanie M. Keller; Takuya Yanagida; Oliver Lüdtke; Thomas Goetz – Educational Psychology Review, 2025
Students' emotions in the classroom are highly dynamic and thus typically strongly vary from one moment to the next. Methodologies like experience sampling and daily diaries have been increasingly used to capture these momentary emotional states and its fluctuations. A recurring question is to what extent aggregated state ratings of emotions over…
Descriptors: Foreign Countries, High School Students, Affective Behavior, Emotional Response
Peer reviewed Peer reviewed
Direct linkDirect link
Jin, Hui; Hokayem, Hayat; Cisterna, Dante – Research in Science & Technological Education, 2023
Background: New technology and increased collaboration have revolutionized how scientists work with data. This creates a need to identify new aspects of working with scientific data that are important for K-12 students to learn. Purpose: To address this need, we conducted a study with practicing scientists and K-12 science teachers. The purpose of…
Descriptors: Scientists, Science Teachers, Elementary School Teachers, Secondary School Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Bartholomew, Scott R.; McGraw, Tim; Fauber, Daphne; Charlesworth, Jon; Weitlauf, John – Technology and Engineering Teacher, 2020
Technological advances, artificial intelligence innovations, and widespread computing have all combined to necessitate a new generation of knowledge workers where data becomes a ubiquitous part of decision making (Sutton, 2006). Teaching today's students through the application of this "new" knowledge to long-established fields…
Descriptors: Sanitation, Water, Agriculture, High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Dryden-Peterson, Sarah – Harvard Educational Review, 2020
In this research article, Sarah Dryden-Peterson explores the concept of researcher positionality, focusing on its malleability over time. The methodological analysis is situated in an empirical study of history teaching and learning in Cape Town, South Africa, schools in 1998 and 2019. Dryden-Peterson argues that researcher positionality is often…
Descriptors: Educational Researchers, History Instruction, Foreign Countries, Experimenter Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Corinne Thatcher Day – Mathematics Teacher: Learning and Teaching PK-12, 2025
Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Peer reviewed Peer reviewed
Direct linkDirect link
Ubilla, Francisca M.; Vásquez, Claudia; Rojas, Francisco; Gorgorió, Núria – Statistics Education Research Journal, 2021
We consider the ability to complete an investigative cycle as an indicator of the robustness of students' statistical knowledge. From this standpoint, we analyzed the written reports of primary education student teachers when they developed an investigative cycle in a Chilean and a Spanish university. In their development of the stages of the…
Descriptors: Foreign Countries, Teacher Education Programs, Elementary School Teachers, Statistics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Ching, Cynthia Carter; Hagood, Danielle – Journal of Science Education and Technology, 2019
This paper connects the technological practice of activity monitor gaming to the Next Generation Science Standards (NGSS) science and engineering practice of "analyzing and interpreting data," and to the foundational constructionist idea of personal meaning. In our larger study, eighth-grade students, ages 12-14, wore physical activity…
Descriptors: Middle School Students, Grade 8, Educational Games, Academic Standards
Peer reviewed Peer reviewed
Direct linkDirect link
Boote, Stacy K.; Boote, David N. – Elementary School Journal, 2017
Students often struggle to interpret graphs correctly, despite emphasis on graphic literacy in U.S. education standards documents. The purpose of this study was to describe challenges sixth graders with varying levels of science and mathematics achievement encounter when transitioning from interpreting graphs having discrete independent variables…
Descriptors: Elementary School Mathematics, Elementary School Students, Middle School Students, Grade 6
Lohrengel, C. Frederick, II.; Larson, Paul R. – Geography Teacher, 2017
National Geography Standard 1 requires that students learn:"How to use maps and other geographic representations, geospatial technologies, and spatial thinking to understand and communicate information" (Heffron and Downs 2012). These concepts have real-world applicability. For example, elevation contour maps are common in many…
Descriptors: Data Collection, Data Interpretation, Map Skills, Physical Geography
Peer reviewed Peer reviewed
Direct linkDirect link
Swanson, Lauren; Vernon, Heather; Bauer, Christina – Science Teacher, 2018
Understanding how scientific conclusions are drawn from data is central to learning about the nature of science. Many students struggle with aspects of reasoning from data, including identifying relationships among variables, interpreting graphs, coordinating theory and evidence, and not allowing personal beliefs to outweigh the data when forming…
Descriptors: Data Interpretation, Scientific Principles, Science Instruction, Science Activities
Previous Page | Next Page »
Pages: 1  |  2  |  3