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Kim, Albert Y.; Hardin, Johanna – Journal of Statistics and Data Science Education, 2021
We provide a computational exercise suitable for early introduction in an undergraduate statistics or data science course that allows students to "play the whole game" of data science: performing both data collection and data analysis. While many teaching resources exist for data analysis, such resources are not as abundant for data…
Descriptors: Data Collection, Data Analysis, Statistics Education, Undergraduate Students
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Ciaran Evans; William Cipolli; Zakary A. Draper; John-Tyler Binfet – Journal of Statistics and Data Science Education, 2023
Engaging and motivating students in undergraduate statistics courses can be enhanced by using topical peer-reviewed publications for analyses as part of course assignments. Given the popularity of on-campus therapy dog stress-reduction programs, this topic fosters buy-in from students whilst providing information regarding the importance of mental…
Descriptors: Statistics Education, Learning Motivation, Undergraduate Students, Data Analysis
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Jones, Valerie K.; Johnson, Kate; Molskness, Hannah; Gandhi, Ronit; Zhou, Lilly – Journal of Advertising Education, 2022
This paper describes an advertising ethics course designed for first-year students of any major, written from the perspectives of both the course creator/instructor and the students who took the course and developed a workshop based around it. As educators, how do we help students learn and care about how their data is collected and used and…
Descriptors: Advertising, Ethics, Introductory Courses, Undergraduate Students
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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Zhang, Limin; Chen, Fang; Wei, Wei – Journal of Information Systems Education, 2020
The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or…
Descriptors: Teaching Methods, Data Analysis, Business Administration Education, Computer Software
Bauder, Julia, Ed. – ALA Editions, 2022
Armed with this guide's strategies and concrete examples, subject librarians, data services librarians, and scholarly communication librarians will be inspired to roll up their sleeves and get involved with teaching research data management competencies to students and faculty. The usefulness of research data management skills bridges numerous…
Descriptors: Data Analysis, Academic Libraries, Library Services, Librarian Teacher Cooperation
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
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Dyer, Jamie O.; Elsenpeter, Ryan L. – Bioscene: Journal of College Biology Teaching, 2018
Numerous studies have examined the use of active learning methods in undergraduate courses, suggesting that these methods increase learning and retention as well as student engagement. In order to investigate the benefits of particular active learning assignments involving presentations of 3-dimensional simulations in an introductory biology…
Descriptors: Data Analysis, Active Learning, Assignments, Student Evaluation
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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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Fahler, Valentina; Bazerman, Charles – Across the Disciplines, 2019
This study examines the intellectual consequences of writing about data in relation to disciplinary concepts. We collected and studied written assignments from sixteen students in which they had to analyze data provided by the instructor in a general education linguistics course. We also surveyed them at the beginning, middle, and end of the…
Descriptors: Writing Assignments, Prior Learning, Language Attitudes, Teacher Attitudes
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Cross, Stephanie Behm; Behizadeh, Nadia; Holihan, Jeanine – Teacher Educator, 2018
Drawing on a teacher concerns framework, alongside notions of critical consciousness, this article examines the extent to which teacher candidates' (TCs') concerns are related in any way to the critical scholarship they have engaged with throughout their teacher education coursework. Utilizing teacher candidates' written dilemmas of practice…
Descriptors: Preservice Teachers, Urban Schools, Reflective Teaching, Qualitative Research
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Sabel, Jaime L.; Vo, Tina; Alred, Ashley; Dauer, Jenny M.; Forbes, Cory T. – Journal of College Science Teaching, 2017
Although knowledge of disciplinary concepts and epistemic understanding of science are foundations of scientific literacy, students must learn to apply their knowledge to real-world situations. To engage effectively with contemporary water-related challenges with scientific and social dimensions, students need to understand the properties of water…
Descriptors: Undergraduate Students, College Science, Science Process Skills, Decision Making
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Bialka, Christa S.; Morro, Danielle – Journal of College and Character, 2017
Although much research addresses prejudice toward and discrimination of individuals with disabilities, few studies engage with the concept of "ability privilege," or the benefits that typically abled individuals are afforded in relation to their position within the hegemony. Given the fledgling nature of research on ability privilege, it…
Descriptors: Undergraduate Students, Disabilities, Advantaged, Introductory Courses
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Powell, Lisa; Singh, Nishani – Accounting Education, 2016
Plagiarism in higher education is a widespread and complex issue. Students' understanding of plagiarism differs as a result of combining their prior learning about referencing with their current experience of institutional policies and generic resources. Plagiarism was identified as a major learning issue in a core second-year undergraduate…
Descriptors: Foreign Countries, Undergraduate Students, Accounting, Plagiarism
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Davis, Christopher J.; Kmetz, Karla – Information Systems Education Journal, 2015
Prior research in higher education shows that engagement has been inconsistently conceptualized: semantic inconsistency has been compounded by variations in the constructs used to operationalize engagement. Acknowledging these limitations, we conceptualize student engagement as a multi-faceted meta-construct, overcoming some of the limitations…
Descriptors: Learner Engagement, Models, Cohort Analysis, Electronic Learning
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