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Jung, Hyunyi; Wickstrom, Megan H.; Piasecki, Chris – Mathematics Teacher: Learning and Teaching PK-12, 2021
Have you ever noticed trash collecting in streams or waterways? How does trash influence our environment, and what can be done to enact change? These are questions middle school students explored as the authors launched the Great Pacific Garbage Patch (GPGP) task. The Great Pacific Garbage Patch activity involves an urgent environmental issue that…
Descriptors: Wastes, Environmental Education, Middle School Students, Group Discussion
Chaturvedi, Ramesh Kumar; Verma, Vishal; Mishra, Kushendra – Smart Learning Environments, 2022
The objective of this research paper is to check the difference between pre and post-session of the Brighter Minds based Cognitive Skill Training. The exploratory and descriptive research design is used in this study. In this investigation, the nine measurement variables are selected for the study such as memory, confidence, concentration,…
Descriptors: Cognitive Ability, Memory, Self Esteem, Intuition
Tytler, Russell; Ferguson, Joseph; White, Peta – Learning: Research and Practice, 2020
Increasingly, learning in science and mathematics is considered in terms of induction into the multimodal language practices of the disciplinary community. A strong strand of research in this tradition has involved students being challenged to invent multimodal language forms, and their ideas refined through structured guidance. Often, however,…
Descriptors: Science Instruction, Mathematics Instruction, Inquiry, Teaching Methods
Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
Hammett, Amy; Dorsey, Chad – Science Teacher, 2020
To learn with data, students need "data" to explore. This can be deceptive--data-rich experiences typically involve much more than a straightforward science lab. Solving real problems with data means identifying authentic questions that are meaningful to students and provide a foundation for deep inquiry. Such situations often lend…
Descriptors: Data Analysis, Problem Solving, Student Projects, Active Learning
Bruhn, Allison L.; Wehby, Joseph H.; Hasselbring, Ted S. – Journal of Positive Behavior Interventions, 2020
With the advent of Precision Teaching more than 50 years ago, researchers and practitioners began to examine how to use K-12 students' academic data to guide instructional decisions. Although the field has advanced with the use of curriculum-based measurement and data-driven decision rules for reading and math, the same is not true in the area of…
Descriptors: Social Behavior, Decision Making, Teaching Methods, Measurement
Ferguson, Joseph Paul; Tytler, Russell; White, Peta – International Journal of Science Education, 2022
Reporting on a Grade 4 teaching and learning sequence, we highlight foundational constructs of measurement and data modelling which are fundamental to competence development in both science and mathematics. The sequence involved students generating and representing measures of their teacher's arm-span, with a focus on the invention and refinement…
Descriptors: Aesthetics, Data Analysis, Educational Philosophy, Teaching Methods
Spikol, Daniel; Ruffaldi, Emanuele; Dabisias, Giacomo; Cukurova, Mutlu – Journal of Computer Assisted Learning, 2018
Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components),…
Descriptors: Student Projects, Active Learning, Teaching Methods, Group Dynamics
Doabler, Christian T.; Clarke, Ben; Kosty, Derek; Turtura, Jessica E.; Firestone, Allison R.; Smolkowski, Keith; Jungjohann, Kathleen; Brafford, Tasia L.; Nelson, Nancy J.; Sutherland, Marah; Fien, Hank; Maddox, Steven A. – Exceptional Children, 2019
Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…
Descriptors: Mathematics Instruction, Problem Solving, Grade 1, Elementary School Students
Heinicke, Susanne; Heering, Peter – Science & Education, 2013
The aim of this paper is to discuss different approaches to the quality (or uncertainty) of measurement data considering both historical examples and today's students' views. Today's teaching of data analysis is very much focussed on the application of statistical routines (often called the "Gaussian approach" to error analysis). Studies on…
Descriptors: Measurement, Teaching Methods, Data Analysis, Expertise
Phares, Alain J.; Durnin, John H. – Technology, Instruction, Cognition and Learning, 2016
Dimensional Analysis (DA) is shown to play a pivotal role in the teaching of Science, Technology, Engineering and Mathematics (STEM). This article summarizes the basic rules and corollaries of DA and addresses (1) the importance of using DA with mathematical functions; (2) how to use DA in a science/engineering laboratory based discovery approach;…
Descriptors: STEM Education, Laboratories, Discovery Learning, Teaching Methods
Hiscock, Naomi – Primary Science, 2012
For some children maths and science are exciting subjects that work side by side, one providing the opportunity to practise and hone skills and knowledge gained from the other. For other children the subjects are disjointed and seem to bear no relationship to each other. Science can provide a wonderful opportunity to practise a variety of math…
Descriptors: Mathematics Skills, Mathematics Instruction, Science Instruction, Curriculum
Tobin, Mollie; Lietz, Petra; Nugroho, Dita; Vivekanandan, Ramya; Nyamkhuu, Tserennadmid – Australian Council for Educational Research, 2015
Not much is known about the ways in which assessment data have actually been used in education policy to date. Understanding the role of assessments in informing system-level decision-making is a first step towards helping stakeholders improve the design and usefulness of assessments. Moreover, this understanding can help to further discussions…
Descriptors: Educational Policy, Measurement, Decision Making, Data Analysis
Anderson, Lezley Barker – ProQuest LLC, 2013
The purpose of this causal-comparative study was to examine whether differences exist in the mathematics achievement of fifth grade gifted students based on the instructional delivery model used for mathematics instruction, cluster or collaborative, as defined by the Georgia Department of Education. The content area of mathematics, an area…
Descriptors: Comparative Analysis, Grade 5, Elementary School Students, Academically Gifted
Teaching Math to Young Children. Educator's Practice Guide. What Works Clearinghouse. NCEE 2014-4005
Frye, Douglas; Baroody, Arthur J.; Burchinal, Margaret; Carver, Sharon M.; Jordan, Nancy C.; McDowell, Judy – What Works Clearinghouse, 2013
The goal of this practice guide is to offer educators specific, evidence-based recommendations that address the challenge of teaching early math to children ages 3 to 6. The guide provides practical, clear information on critical topics related to teaching early math and is based on the best available evidence as judged by the authors. The guide…
Descriptors: Mathematics Instruction, Young Children, Number Concepts, Developmentally Appropriate Practices