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Showing 1 to 15 of 41 results Save | Export
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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
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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
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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
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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
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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
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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
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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
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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
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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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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
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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
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Tu, Wendy; Snyder, Martha M. – Educational Technology Research and Development, 2017
Difficulties in learning statistics primarily at the college-level led to a reform movement in statistics education in the early 1990s. Although much work has been done, effective learning designs that facilitate active learning, conceptual understanding of statistics, and the use of real-data in the classroom are needed. Guided by Merrill's First…
Descriptors: Statistics, College Students, Educational Change, Active Learning
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Lucas, Margarida; Cabrita, Isabel – Asia-Pacific Education Researcher, 2016
After 2002, Timorese authorities focused on the challenges of revitalizing the country's education system. Since then, several international cooperation initiatives were undertaken, which enabled, for instance, the restructuring of the general secondary education curriculum. This article reveals the perceptions of Timorese policymakers of the new…
Descriptors: Foreign Countries, Curriculum Development, Curriculum Implementation, Educational Policy
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Spark, Linda; De Klerk, Danie; Maleswena, Tshepiso; Jones, Andrew – Journal of Student Affairs in Africa, 2017
The exponential growth of higher education enrolment in South Africa has resulted in increased diversity of the student body, leading to a proliferation of factors that affect student performance and success. Various initiatives have been adopted by tertiary institutions to mitigate the negative impact these factors may have on student success,…
Descriptors: Success, Teaching Methods, Curriculum Implementation, Tutoring
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Lam, Chris; Hannah, Mark A. – Business and Professional Communication Quarterly, 2016
This article describes a flipped classroom activity that requires students to integrate research and audience analysis. The activity uses Twitter as a data source. In the activity, students identify a sample, collect customer tweets, and analyze the language of the tweets in an effort to construct knowledge about an audience's values, needs, and…
Descriptors: Audience Analysis, Integrated Activities, Class Activities, Transcripts (Written Records)
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