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Huichao Li; Dan Li – International Journal of Web-Based Learning and Teaching Technologies, 2024
Based on a brief analysis of the current situation of university education management and research on intelligent algorithms, this article constructs a university education management system based on big data. For the clustering and prediction modules in higher education management, corresponding algorithms are used for optimization design. A…
Descriptors: Data, Ideology, Algorithms, Multivariate Analysis
Yiming Zhang – ProQuest LLC, 2023
In higher education, significant efforts have been made to improve student success outcomes. In this dissertation, two important problems related to student academic success are considered. The curriculum plays a crucial role in shaping student success. Curricular complexity has been shown to be inversely related to the graduation rate of…
Descriptors: College Curriculum, Curriculum Design, Higher Education, Curriculum Development
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Changliang Tan; Nada Dabbagh – International Journal of Web-Based Learning and Teaching Technologies, 2024
Kruskal algorithm, as a minimum spanning tree optimization analysis algorithm, has been well used in the field of industrial production to find the optimal parameters. In this study, an interactive teaching platform based on Kruskal algorithm is built based on the ecological aesthetic education theory. Secondly, based on multiple internet of…
Descriptors: Aesthetic Education, Experiential Learning, Educational Theories, Algorithms
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Aicha Adoui, Editor – Palgrave Macmillan, 2025
This edited volume provides a comprehensive examination of the intersection between internationalization of higher education and digital transformation, with a focus on insights from Morocco. Through a series of chapters authored by experts in the field, the book covers a wide range of topics, including critical thinking in intercultural…
Descriptors: Global Approach, Higher Education, Technology Uses in Education, Educational Technology
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Cruthirds, John; Dodd, Fred – Mathematics and Computer Education, 1997
Provides pathological examples for which graphing calculators sometimes give surprising, misleading, or incorrect results. Investigates some of the more interesting of these examples encountered while using the TI-85 in a variety of undergraduate courses including calculus and matrix theory. (DDR)
Descriptors: Algorithms, Calculators, Calculus, College Curriculum
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Dobbs, David E.; Peterson, John C. – Mathematics and Computer Education, 1997
Presents several types of functions which fit a given set of data and create opportunities for classroom discussion comparing different kinds of functions and identifying some of the potential hazards associated with extrapolation from best-fit functions. (DDR)
Descriptors: Algorithms, Calculators, Calculus, College Curriculum