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Showing 1 to 15 of 34 results Save | Export
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Huijuan Fu; Yangcai Xiao; Isaac Kofi Mensah; Rui Wang – Education and Information Technologies, 2024
The nation's explosive growth in Massive Open Online Courses (MOOCs) is likely to lead to low effectiveness of MOOCs, therefore, it is necessary to promote the high-quality and long-term development of MOOCs through understanding learner satisfaction. The present research adopted the Latent Dirichlet Allocation (LDA) to derive factors affecting…
Descriptors: Student Satisfaction, MOOCs, Computer Science Education, Curriculum Design
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Finch, Sue; Gordon, Ian – Teaching Statistics: An International Journal for Teachers, 2023
Providing a rich context has become a sine qua non of principled teaching of applied statistical thinking. With increasing opportunities to access secondary data, there should be increasing opportunity to work with rich context. We review the contextual information provided in 41 data sets suitable for introductory tertiary statistics teaching,…
Descriptors: Statistics Education, Literacy, Introductory Courses, Statistical Analysis
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McFadden, Rory R.; Viskupic, Karen; Egger, Anne E. – Journal of Geoscience Education, 2021
Quantitative literacy is a foundational component of success in STEM disciplines and in life. Quantitative concepts and data-rich activities in undergraduate geoscience courses can strengthen geoscience majors' understanding of geologic phenomena and prepare them for future careers and graduate school, and provide real-world context to apply…
Descriptors: Earth Science, College Science, College Faculty, Mathematics Skills
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Christopher J. Casement; Laura A. McSweeney – Journal of Statistics and Data Science Education, 2024
As the use of data in courses that incorporate statistical methods has become more prevalent, so has the need for tools for working with such data, including those for data creation and adjustment. While numerous tools exist that support faculty who teach statistical methods, many are focused on data analysis or theoretical concepts, and there…
Descriptors: Statistics Education, Data Science, Educational Technology, Computer Software
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Semih Sait Yilmaz; Ayse Collins; Seyid Amjad Ali – European Journal of Education, 2024
In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, COVID-19
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Bosman, Lisa; Soto, Esteban; Varela, Thaís Ferraz; Wollega, Ebisa – Teaching Statistics: An International Journal for Teachers, 2023
Statistical knowledge is required for students in a range of disciplines. However, there are limited educator resources that exist for applying statistics to solve real-world problems. This investigation provides one approach to teaching statistics using entrepreneurial-minded learning (as a way to connect real-world applications and value…
Descriptors: Statistics Education, Introductory Courses, Problem Solving, Entrepreneurship
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Silvia Heubach; Tuyetdong Phan-Yamada – Journal of Statistics and Data Science Education, 2025
We describe a hands-on project in which students collect data on the impact of distracted driving on driver reaction time. Initially they do this in class via a virtual driving applet, using themselves and fellow students as test subjects. Different applet versions simulate driving with and without distraction and measure the time it takes to…
Descriptors: Statistics, Relevance (Education), Student Projects, Experiential Learning
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Jeremy L. Hsu; Sara Gartland; Joelle Prate; Charles Hohensee – CBE - Life Sciences Education, 2025
Quantitative reasoning (QR) is a key skill for undergraduate biology education. Despite this, many students struggle with QR. Here, we use the theoretical framework of student noticing to investigate why some students struggle with QR in introductory biology labs. Under this framework, what students notice when given new information and data…
Descriptors: Thinking Skills, Numeracy, Introductory Courses, Biology
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Abrams, William – PRIMUS, 2023
This paper describes a course designed to introduce students to mathematical thinking and a variety of lower level mathematics topics using baseball while satisfying the goals of quantitative reasoning. We give suggestions for sources, topics, techniques, and examples so any mathematics teacher can design such a course to fit their needs. The…
Descriptors: Mathematical Logic, Statistical Analysis, Team Sports, Mathematics Instruction
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Sami Mejri; Steven Borawski – International Journal on E-Learning, 2023
This article will address predictors of success for online students. A survey questionnaire was used to gather data concerning online students' social and educational readiness levels at a four-year private university in the Midwestern United States. Of the 4,050 potential participants, 250 (6.23%) responded to the survey. Stepwise regression…
Descriptors: Academic Persistence, Success, Online Courses, Readiness
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Sisso, Danielle; Bass, Nicole; Williams, Immanuel – Teaching Statistics: An International Journal for Teachers, 2023
This paper provides introductory statistics instructors with the capacity to use engaging National Basketball Association (NBA) data within a web application to either strengthen students' understanding or introduce the concept of variance and one-way analysis of variance. Using engaging data within the classroom provides context to data that…
Descriptors: Statistics Education, Teaching Methods, Statistical Analysis, Introductory Courses
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Matchett, Andrew – PRIMUS, 2023
This article describes five elementary statistics projects involving the COVID-19 data made available to the public in csv files by the Centers for Disease Control and Prevention. The first project examined data available at the beginning of the COVID surge in New York City in spring, 2020, and used the correlation coefficient to estimate the…
Descriptors: Statistics Education, Student Projects, COVID-19, Pandemics
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Liu, Bowen; Xing, Wanli; Zeng, Yifang; Wu, Yonghe – Journal of Educational Computing Research, 2021
Massive Open Online Courses (MOOCs) have become a popular tool for worldwide learners. However, a lack of emotional interaction and support is an important reason for learners to abandon their learning and eventually results in poor learning performance. This study applied an integrative framework of achievement emotions to uncover their holistic…
Descriptors: Influences, Psychological Patterns, Online Courses, Academic Achievement
Jung Mee Park – Journal of Education for Library and Information Science, 2022
Library and information science (LIS) research is becoming more quantitative. However, statistics is not extensively taught within LIS research methods courses, and statistics courses are uncommon within LIS programs. Previous research on statistics in LIS revealed that researchers have mainly relied on descriptive statistics in publications. This…
Descriptors: Statistics Education, Library Science, Information Science Education, Sociology
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Linneman, Thomas J. – Teaching Sociology, 2021
While most sociology majors must take a statistics course, the content of this course varies widely across departments. Starting from the assumption that sociology students should be able to engage effectively with the sociological literature, this article examines the statistical techniques used in 2,804 journal articles--from four generalist…
Descriptors: Undergraduate Students, Majors (Students), Sociology, Statistics Education
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