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Alderson, David L. – INFORMS Transactions on Education, 2022
This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…
Descriptors: Curriculum Design, Introductory Courses, Computation, Data Science
National Forum on Education Statistics, 2024
The "Forum Guide to Data Literacy" is designed to help education agencies understand and build data literacy skills among various stakeholder groups such as administrators, teachers, students, parents and other caregivers, school board members, legislators, and community groups. This resource defines and discusses the importance of data…
Descriptors: Public Agencies, Statistics, Data Analysis, Statistics Education
Ming Wang; Jun Zhan; Tao Hu – Journal of Information Systems Education, 2024
This study introduces a modular teaching framework for business data analytics (BDA) curricula and programs. The framework integrates gamification features of the SAP business processes, ERPsim Games, and SAP data warehousing into the experiential learning of BDA curricula. The pedagogical practices of deploying the framework in an undergraduate…
Descriptors: Business Education, Data Analysis, Gamification, Experiential Learning
Chen, Li-Ling – Journal of Educational Technology Systems, 2019
Various data systems have been long and pervasively used in schools to collect student data. However, very few educators are able to apply their collected data to improve their teaching. The purpose of this article is to investigate how middle school teachers adapt data mining protocols to enhance their teaching and to improve their students'…
Descriptors: Data Analysis, Data Collection, Intervention, Data Use
Bornn, Luke; Mortensen, Jacob; Ahrensmeier, Daria – Canadian Journal for the Scholarship of Teaching and Learning, 2022
This paper presents a novel design for an upper-level undergraduate statistics course structured around data rather than methods. The course is designed around curated datasets to reflect real-world data science practice and engages students in experiential and peer learning using the data science competition platform Kaggle. Peer learning is…
Descriptors: Undergraduate Study, Cooperative Learning, Peer Influence, Undergraduate Students
Allbright, Taylor; Hough, Heather – State Education Standard, 2020
California's CORE Districts--a consortium of eight school districts serving a racially and socioeconomically diverse population of over one million students--have since 2014 led the way in deploying measures of social and emotional learning (SEL) and school climate and culture. Influenced by surging interest and research support over the past…
Descriptors: Social Development, Emotional Development, Elementary Secondary Education, Holistic Approach
Hundhausen, C. D.; Conrad, P. T.; Carter, A. S.; Adesope, O. – Computer Science Education, 2022
Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…
Descriptors: Computer Software, Computer Science Education, Correlation, Engineering Education
Rebekah Sidman-Taveau – Community College Journal of Research and Practice, 2024
Longstanding inequities exist in community colleges across the United States. To address these inequities, California Community Colleges educators have engaged in a variety of practices including the writing of equity plans and participation in equity data inquiry. However, there is an urgent need for greater focus on racial equity and for more…
Descriptors: Equal Education, Community Colleges, College Faculty, Data
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
Albert Y. Kim; Adriana Escobedo-Land – Journal of Statistics Education, 2015
We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and…
Descriptors: Statistics, Introductory Courses, Data, Educational Practices
Teranishi, Robert; Lok, Libby; Nguyen, Bach Mai Dolly – Educational Testing Service, 2013
In 2013, the National Commission on Asian American and Pacific Islander Research in Education (CARE) and the White House Initiative on Asian Americans and Pacific Islanders (WHIAAPI)--with support from ETS and Asian Americans and Pacific Islanders in Philanthropy (AAPIP)--began an Asian American and Pacific Islander (AAPI) data quality campaign.…
Descriptors: College Students, Asian American Students, Pacific Islanders, Consciousness Raising
Bennett, Lisa H.; Athanases, Steven Z.; Wahleithner, Juliet Michelsen – Action in Teacher Education, 2016
Teacher inquiry holds promise in teacher education, but only if student teachers take up inquiry practices as they leave preservice and transition to teaching. As they learn to conduct inquiry during preservice, student teachers may begin to internalize dispositions that promote ongoing inquiry experiences. Through analysis of questionnaires…
Descriptors: Preservice Teachers, Preservice Teacher Education, Student Teacher Attitudes, Inquiry
Digital Promise, 2017
As they prepared for the 2016-2017 school year, administrators and teachers at Design Tech High School ("d.tech"), a public charter school in Northern California, decided they needed a deeper understanding of how students learn. According to Nicole Cerra, Director of Learning, "Obviously you need to get to know students…
Descriptors: Brainstorming, Problem Solving, Public Schools, Charter Schools
Soto, Melissa Marie; Ambrose, Rebecca – Learning, Media and Technology, 2016
Analyzing students' mathematical explanations can be a powerful tool to enhance teachers' practice, but collecting these explanations can be cumbersome. Here, we describe our quest to find effective tools to make explanations accessible to elementary (K-6th) teachers. First, we describe how digital audio recordings enabled teachers to focus on the…
Descriptors: Mathematical Logic, Elementary School Mathematics, Elementary School Teachers, Access to Information
Philip, Thomas M.; Olivares-Pasillas, Maria C.; Rocha, Janet – Cognition and Instruction, 2016
Data visualizations are now commonplace in the public media. The ability to interpret and create such visualizations, as a form of data literacy, is increasingly important for democratic participation. Yet, the cross-disciplinary knowledge and skills needed to produce and use data visualizations and to develop data literacy are not fluidly…
Descriptors: Race, Cultural Literacy, Data, Visualization