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Showing 1 to 15 of 16 results Save | Export
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Katie A. McCarthy; Gregory A. Kuhlemeyer – Journal of Statistics and Data Science Education, 2024
To meet the demands of industry, undergraduate business curricula must evolve to prepare analytics-enabled professionals in fields such as finance, accounting, human resource management, and marketing. In this article, we provide a case study of developing a rigorous, integrated finance and data analytics course that was delivered using a…
Descriptors: Statistics Education, Finance Occupations, Course Content, Teaching Methods
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Tucker, Mary C.; Shaw, Stacy T.; Son, Ji Y.; Stigler, James W. – Journal of Statistics and Data Science Education, 2023
We developed an interactive online textbook that interleaves R programming activities with text as a way to facilitate students' understanding of statistical ideas while minimizing the cognitive and emotional burden of learning programming. In this exploratory study, we characterize the attitudes and experiences of 672 undergraduate students as…
Descriptors: Statistics Education, Undergraduate Students, Programming Languages, Student Attitudes
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St. John, Jeremy; St. John, Karen; St. John, Christopher – Journal of Education for Business, 2023
Teamwork skills are an important part of business school curriculum typically taught using project-based experiential methods. This paper presents best practices for teaching teamwork skills to Gen Z students using a project-based learning, peer mentoring approach. With experiential learning theory as a guide, an interdisciplinary process was…
Descriptors: Student Projects, Active Learning, Interdisciplinary Approach, Peer Relationship
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Mashood, K. K.; Khosla, Kamakshi; Prasad, Arjun; V., Sasidevan; Ashefas CH, Muhammed; Jose, Charles; Chandrasekharan, Sanjay – Physical Review Physics Education Research, 2022
Recent educational policies advocate a radical revision of science curricula and pedagogy, to support interdisciplinary practices, a distinguishing feature of contemporary science. Computational modeling (CM) is a core methodology of interdisciplinary science, as such models allow intertwining of data and theoretical perspectives from multiple…
Descriptors: Teaching Methods, Undergraduate Students, Science Instruction, Science Curriculum
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Cline, K.; Fasteen, J.; Francis, A.; Sullivan, E.; Wendt, T. – PRIMUS, 2020
We have integrated computer programming instruction into the required courses of our mathematics major. Our majors take a sequence of four courses in their first 2 years, each of which is paired with a weekly 75-minute computer lab period that has a dual purpose of both computationally exploring the mathematical concepts from the lecture portion…
Descriptors: College Mathematics, Majors (Students), Programming, Teaching Methods
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Aimicheva, G.; Kopeyev, Zh.; Ordabayeva, Zh.; Tokzhigitova, N.; Akimova, S. – Education and Information Technologies, 2020
The article is devoted to the issues of teaching mobile application development and, as a consequence, training of highly qualified in-demand mobile developers. Nowadays, training professional mobile developers is a crucial task all over the world. The researchers emphasize the complexity of mobile application development associated with its…
Descriptors: Teaching Methods, Telecommunications, Handheld Devices, Undergraduate Students
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Tan, Song Wei Benjamin; Naraharisetti, Pavan Kumar; Chin, Siew Kian; Lee, Lai Yeng – Journal of Chemical Education, 2020
The advance of digital technology presents an opportunity to equip students with relevant skill sets as "Scientists of the Future" who are able to utilize knowledge at the interface between various disciplines. In this technology report, an open source programming language is used to automate a simple laboratory experiment commonly…
Descriptors: Programming Languages, Science Instruction, Chemistry, Computer Science Education
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Radovilsky, Zinovy; Hegde, Vishwanath – Journal of Information Systems Education, 2022
Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…
Descriptors: Data Analysis, Statistics Education, Graduate Students, Barriers
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Burckhardt, Philipp; Nugent, Rebecca; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Revisiting the seminal 2010 Nolan and Temple Lang article on the role of computing in the statistics curricula, we discuss several trends that have emerged over the last ten years. The rise of data science has coincided with a broadening audience for learning statistics and using computational packages and tools. It has also increased the need for…
Descriptors: Statistics Education, Teaching Methods, Web Based Instruction, Data Analysis
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Tai, Yaming; Ting, Yu-Liang – Australasian Journal of Educational Technology, 2020
Engineers must be able to collaborate with experts across disciplinary boundaries to successfully address the complex challenges of a contemporary workplace. As programming has a reflexive synergistic character, it can support a way of thinking about and exploring disciplines beyond computer science. Meanwhile, programming is a medium of…
Descriptors: English (Second Language), Second Language Learning, Computer Software, Telecommunications
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Corno, Fulvio; De Russis, Luigi – IEEE Transactions on Education, 2017
The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the "ambient intelligence" (AmI)…
Descriptors: Programming, Best Practices, Artificial Intelligence, Student Projects
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Mubin, Omar; Novoa, Mauricio; Al Mahmud, Abdullah – Interactive Technology and Smart Education, 2017
Purpose: This paper narrates a case study on design thinking-based education work in an industrial design honours program. Student projects were developed in a multi-disciplinary setting across a Computing and Engineering faculty that allowed promoting technologically and user-driven innovation strategies. Design/methodology/approach: A renewed…
Descriptors: Industrial Arts, Design, Case Studies, Teaching Methods
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Smarkusky, Debra L.; Toman, Sharon A. – Information Systems Education Journal, 2014
Students in computer science and information technology should be engaged in solving real-world problems received from government and industry as well as those that expose them to various areas of application. In this paper, we discuss interdisciplinary project experiences between majors and non-majors that offered a creative and innovative…
Descriptors: Interdisciplinary Approach, Cooperative Learning, Student Projects, Computer Science Education
Holm, Jennifer, Ed.; Mathieu-Soucy, Sarah, Ed. – Canadian Mathematics Education Study Group, 2019
In June 2018 the Canadian Mathematics Education Study Group/Groupe Canadien d'étude en didactique des mathématiques (CMESG/GCEDM) held its 42nd meeting in the idyllic setting of Squamish, British Columbia. This meeting marked the first time CMESG/GCEDM had been in British Columbia since 2010 and the first time it had been held at Quest University.…
Descriptors: Mathematics Education, Mathematics Teachers, Teaching Methods, Interdisciplinary Approach
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Tracy, Fran; Jordan, Katy – Technology, Pedagogy and Education, 2012
This paper draws upon the experience of an interdisciplinary research group in engaging undergraduate university students in the design and development of semantic web technologies. A flexible approach to participatory design challenged conventional distinctions between "designer" and "user" and allowed students to play a role…
Descriptors: Foreign Countries, Learner Engagement, Semantics, Interdisciplinary Approach
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