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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
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Albo, Laia; Hernandez-Leo, Davinia – IEEE Transactions on Learning Technologies, 2021
This article presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition to assessing the usability of edCrumble using Usability Metric for User Experience questionnaire, analyses of participant…
Descriptors: Programming, Blended Learning, Teaching Methods, Instructional Design
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Krasodomska, Joanna; Godawska, Justyna – Accounting Education, 2021
In this study, we examined the relationship between university students' engagement in a blended learning course and their performance. We also explored the roles which gender and nationality may play in the learning process. Our sample consisted of 335 students of International Accounting course. We used 23,796 student access computer logs as a…
Descriptors: Accounting, Electronic Learning, Correlation, Blended Learning
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de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
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Son, Ji Y.; Blake, Adam B.; Fries, Laura; Stigler, James W. – Journal of Statistics and Data Science Education, 2021
Students learn many concepts in the introductory statistics course, but even our most successful students end up with rigid, ritualized knowledge that does not transfer easily to new situations. In this article we describe our attempt to apply theories and findings from learning science to the design of a statistics course that aims to help…
Descriptors: Statistics Education, Introductory Courses, Teaching Methods, Data Analysis
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Gerbing, David W. – Journal of Statistics and Data Science Education, 2021
R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…
Descriptors: Statistics Education, Teaching Methods, Introductory Courses, Programming Languages
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Gundlach, Ellen; Ward, Mark Daniel – Journal of Statistics and Data Science Education, 2021
In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the…
Descriptors: Statistics Education, Curriculum Development, Teaching Methods, Data Analysis
National Center for Systemic Improvement at WestEd, 2021
The need to improve outcomes among students with disabilities (SWD) by increasing teachers' skilled use of evidence-based practices (EBPs) has been a pressing challenge around the country. Texas, in particular, has a specific focus on supporting the increased use of teachers' EBPs within their State Systemic Improvement Plan (SSIP). Therefore,…
Descriptors: Students with Disabilities, Evidence Based Practice, Teaching Methods, Coaching (Performance)
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Taylor, Katie Headrick; Silvis, Deborah; Kalir, Remi; Negron, Anthony; Cramer, Catherine; Bell, Adam; Riesland, Erin – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2019
A project called Mobile City Science (MCS), a partnership between the University of Washington, New York Hall of Science, the Digital Youth Network, and two high schools, leverages young people's proclivity for on-the-move digital engagement to re-place and mobilize learning through public, community settings that youth identify as being relevant…
Descriptors: Educational Technology, Technology Uses in Education, College School Cooperation, High Schools
Lana Shklyar Nenide; Kate Sweeney; Gerard Costa; Neal M. Horen; Robert M. Corso; Jordana Ash, Contributor; Lynette Aytch, Contributor; Julie Betchkal, Contributor; Jean Budd, Contributor; Margo Candelaria, Contributor; Corinne G. Catalano, Contributor; Kimberly P. Diamond-Berry, Contributor; Faith Eidson, Contributor; Brandy Fox, Contributor; Keri Giordano, Contributor; Amy Hunter, Contributor; Harleen Hutchinson, Contributor; Nucha Isarowong, Contributor; Ashley McCormick, Contributor; Kelli McDermott, Contributor; Kaitlin Mulcahy, Contributor; Carmen Rosa Noroña, Contributor; Nichole Paradis, Contributor; Rebecca Parlakian, Contributor; Lindsay J. Pearson, Contributor; Thomas Rendon, Contributor; Julia Sayles, Contributor; Jayne Singer, Contributor; Staci Sontoski, Contributor; Kristin Tenney-Blackwell, Contributor; Mary Louise Hemmeter, Contributor – Brookes Publishing Company, 2025
Infant Mental Health (IMH) and the Pyramid Model (PM) are two frameworks with an important common goal: supporting the mental health and social-emotional well-being of infants, young children and their families. For the first time ever, one book integrates these two frameworks to create a more effective, knowledgeable, and responsive early…
Descriptors: Infants, Models, Mental Health, Diversity Equity and Inclusion
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Koutsoukis, Nikitas-Spiros; Fakiolas, Efstathios; Katsis, Athanassios; Papadimitriou, Pyrros – Policy Futures in Education, 2022
The purpose of this article is to describe a multidisciplinary approach implemented in teaching public policy analysis at university level. The approach fuses (a) contextual policy analysis with (b) bivariate and multivariate analysis techniques and (c) data analytics skills to improve the learners' competence to conduct "decisional"…
Descriptors: Interdisciplinary Approach, Policy Analysis, Teaching Methods, Public Policy
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Vittengl, Jeffrey R.; Vittengl, Karen L. – Teaching of Psychology, 2022
Background: Acquisition and generalization of data analysis skills are perennial challenges for psychology students. Teaching advanced data analysis in a psychology-specific context might improve students' learning. Objective: At a mid-sized public university, we evaluated student outcomes after a new quantitative psychology course taught in the…
Descriptors: Teaching Methods, Data Analysis, Generalization, Psychology
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Cervenec, Jason; Fox, Jesse; Peggau, Karina; Wilson, Aaron B.; Li, Bingyu; Hu, Dingyu; Chang, Ruiyang; Wong, Joey; Bossley, Craig – Journal of Geoscience Education, 2022
The Fluid Earth (FE) is an interactive data visualization initially developed for learning about Earth's atmosphere in informal educational settings. In this study, we tested FE in middle school classes to assess student engagement in a formal educational setting. Using a quasi-experimental design, students were assigned to interact with the data…
Descriptors: Learner Engagement, Earth Science, Science Education, Visual Aids
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Mallavarapu, Aditi; Lyons, Leilah; Uzzo, Stephen – Journal of Learning Analytics, 2022
Large-group (n > 8) co-located collaboration has not been adequately studied because it demands different conceptual framings than those used to study small-group collaboration, while also posing pragmatic constraints on data collection. Working within these pragmatic constraints, we use video data to devise an indicator of the current…
Descriptors: Social Networks, Network Analysis, Cooperative Learning, Data Collection
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Rafiepour, Abolfazl; Abdolahpour, Kazem; Farsani, Danyal – Mathematics Teaching Research Journal, 2022
The main purpose of this study is to develop a conceptual understanding of the irrational number of the square root of 2 ([square root]2 ). Participants in the study were 20 ninth-grade male students. Activity Theory was used as a framework to show the development of the conceptual understanding. Since this study was conducted during the COVID-19…
Descriptors: Concept Formation, Mathematical Concepts, Mathematics Instruction, COVID-19
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