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Conant, Donald; Chaille, Suzanne – Journal of Education for Business, 2022
In response to research indicating a need for an increased emphasis on aspects of corporate accounting, including corporate taxation, in the accounting curriculum as well as employer expectations that entry-level accounting position applicants possess Excel skills, this classroom exercise uses Excel to compare the financial impacts of three…
Descriptors: Spreadsheets, Accounting, Class Activities, Data Analysis
Gao, Lei; Guo, Miao – Biochemistry and Molecular Biology Education, 2023
With rapid development of sequencing technology and the continuous accumulation of biological big data, people who are capable of using bioinformatic skills to analyze omics data and work out biological problems are urgently needed in the workforce, which highlights the importance of developing bioinformatics skills early in the undergraduate…
Descriptors: Undergraduate Students, Student Research, Student Experience, Biology
Bertling, Joy G.; Hodge, Lynn; King, Shande – Art Education, 2021
Over the past few years, art educators (Cooper et al., 2018; Grodoski, 2018; Taylor, 2017) have begun to embrace data visualization for curricular purposes. In this article, the authors make a case for the inclusion of data visualizations in K-12 art curricula and illustrate a curriculum that focused on introductory data visualization concepts and…
Descriptors: Data Analysis, Art Education, Elementary Secondary Education, Curriculum Implementation
Berg, Arthur; Hawila, Nour – Teaching Statistics: An International Journal for Teachers, 2021
This article is presented in two parts: in the first part we discuss the use of R and R-related tools when implementing a data science curriculum in the classroom and direct readers to helpful R resources in education, and in the second part, we demonstrate the use of R in exploring COVID-19 data. In particular, we explore ethnic/racial…
Descriptors: Data, Data Analysis, Programming Languages, COVID-19
Bertling, Joy G.; Hodge, Lynn; Ryba, Ericka – Art Education, 2023
With the emergence of COVID-19, public interest in data visualization has surged. Data visualizations also, importantly, raised questions related to the data and the social context in which it occurred. Extending beyond but remaining connected to COVID-19, this context involved the racial and social inequality and economic disparities brought to…
Descriptors: COVID-19, Pandemics, Data Analysis, Visual Aids
Frischemeier, Daniel; Biehler, Rolf; Podworny, Susanne; Budde, Lea – Teaching Statistics: An International Journal for Teachers, 2021
In this paper, we will describe an introduction to Data Science for secondary school students. We will report on the design and implementation of an introductory unit on "Data and data detectives with CODAP" in which secondary school students used the online tool CODAP to explore real and meaningful survey data on leisure time activities…
Descriptors: Data Analysis, Interdisciplinary Approach, Secondary School Students, Curriculum Design
OECD Publishing, 2025
As education systems adapt to evolving societal and technological demands, mathematics curricula must also evolve. Recent trends highlight challenges such as declines in student performance and gaps between intended learning goals and real-world applications. Integrating competencies like data literacy, computational thinking, and problem-solving…
Descriptors: Educational Change, Mathematics Curriculum, Educational Trends, Mathematics Education
Isaac S. Rosenthal; Molly N. Simon; Laura Trouille; Jarrett E. K. Byrnes – Journal of Geoscience Education, 2024
Hundreds of thousands of undergraduates enroll in general education science courses to fulfill university core requirements. However, many of these lecture-based courses fail to foster high-level data literacy skills. This work details the design, implementation, and analysis of a new climate change-based classroom activity for college students…
Descriptors: Citizen Participation, Climate, Environmental Education, Introductory Courses
OECD Publishing, 2024
The OECD Future of Education and Skills 2030 report on mathematics curriculum presents first-of-its-kind comparative data on how countries are adapting curricula to meet the demands of the 21st century. The project's unique data illustrate a 25-year evolution of mathematics curricula in various countries, looking at content coverage and the…
Descriptors: Mathematics Curriculum, Educational Trends, 21st Century Skills, Mathematics Skills
Ibrahim Oluwajoba Adisa; Danielle Herro; Oluwadara Abimbade; Golnaz Arastoopour Irgens – Information and Learning Sciences, 2024
Purpose: This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms. Design/methodology/approach: This paper describes a pedagogical approach that uses a data science…
Descriptors: Learner Engagement, Elementary School Students, Data Science, Computation
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
Güven, Ismail; Gulbahar, Yasemin – Social Studies, 2020
Computational Thinking (CT) has recently been addressed as one of the key skills for the twenty-first century. Integrating CT into different subject areas of K-12 education is also now widely accepted to improve the quality of instruction. In that sense, it is important to enable educators and researchers to recognize how to integrate…
Descriptors: Thinking Skills, Computer Science, Social Studies, 21st Century Skills
Fabienne van der Kleij; Pauline Taylor-Guy; Tanya Vaughan; Marijne Medhurst; Christina Rogers – Australian Council for Educational Research, 2023
This literature review outlines the evidence that underpins the development of a set of evidence-informed elaborations, or specific practices, that support student engagement and wellbeing across the 9 domains of the National School Improvement Tool (NSIT). These observable, measurable practices to support student engagement and wellbeing have…
Descriptors: Educational Improvement, Learner Engagement, Well Being, Academic Achievement
Australian Council for Educational Research, 2022
What happens in schools can have a great and lasting impact on the future wellbeing and outcomes for young people. Schools therefore play an important role in supporting students' engagement and wellbeing. These elaborations are intended to support the work of schools by providing further specificity about the practices in each of the nine domains…
Descriptors: Educational Improvement, Learner Engagement, Well Being, Academic Achievement
Larson, Benjamin E.; Bohler, Jeffrey A.; Krishnamoorthy, Anand – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: Business analytics is a cross-functional field that is important to implement for a college and has emerged as a critically important core component of the business curriculum. It is a difficult task due to scheduling concerns and limits to faculty and student resources. This paper describes the process of creating a central video…
Descriptors: Teaching Methods, Data Analysis, Business Administration Education, Undergraduate Students