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Albuquerque, Maria Luiza F. Q.; Lopes, Charlie Silva; da Silveira, Denis Silva – Journal of Education for Business, 2023
Abstraction in business processes (BP) modeling arises from the recognition of similarities to the detriment of its differences. However, teaching modeling to beginning students in the context of process management is a hard task to perform, given the high level of abstraction required for these students to develop. This paper uses BP fragments to…
Descriptors: Business Administration Education, Models, Pattern Recognition, Teaching Methods
Ling Yuan; Chunxiao Meng; Huiyu Hou; Hongzhang Wang; Changwei Pan; Juan Ma; Chenghao Zhu; Qingyu Gao – Journal of Chemical Education, 2022
Nonlinear chemical reactions produce interesting chemohydrodynamic patterns in an unstirred medium, which act as interesting demonstrations to display the novel phenomena in a nonequilibrium chemical system. Here, we report new outreach experiments: pH chemohydrodynamic patterns modulated by sodium polyacrylate in the bromate-sulfite-ferrocyanide…
Descriptors: Chemistry, Scientific Concepts, Science Education, Science Experiments
Gontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Gkontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
Christine Ladwig; Taylor Webber; Dana Schwieger – Information Systems Education Journal, 2023
Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…
Descriptors: Rural Areas, Health Services, Data Analysis, Learning Activities
Quinn, Robert J.; Waddell, Glenn, Jr.; Gallaher, Daniel – Australian Mathematics Education Journal, 2021
The authors present mathematics problems related to the packaging of sporting goods which they used to motivate and engage their students in the USA. This article reports on a series of questions/problems that were explored in groups by the students in a college class designed for sophomores, as part of a program to prepare them to be teachers at…
Descriptors: Undergraduate Students, Mathematical Applications, Mathematics Skills, Problem Based Learning
Rock, Cheryl; Metzger, Elizabeth; Metzger, Nzinga – Journal of Food Science Education, 2021
Organizational patterns can serve as a teaching strategy for instructors and as a learning tool for students to develop their expository writing skills, which are commonly required for assignments (for example, laboratory reports and research papers) in Food Science courses and in their future careers. The article discusses the importance of…
Descriptors: Expository Writing, Technical Writing, Writing Skills, Teaching Methods
Mueller, Derek – College Composition and Communication, 2012
Presented as a series of graphs, bibliographic data gathered from "College Composition and Communication" provides perspective useful for inquiring into the changing shape of the field as it continues to mature. In its focus on graphing, the article demonstrates an application of distant reading methods to present patterns not only reflective of…
Descriptors: Writing (Composition), Graphs, Bibliographic Databases, Inquiry
Schaller, Chris P.; Graham, Kate J.; Jones, T. Nicholas – Journal of Chemical Education, 2014
Road map problems ask students to integrate their knowledge of organic reactions with pattern recognition skills to "fill in the blanks" in the synthesis of an organic compound. Students are asked to identify familiar organic reactions in unfamiliar contexts. A practical context, such as a medicinally useful target compound, helps…
Descriptors: Organic Chemistry, Synthesis, Pattern Recognition, Science Process Skills
Lang, Susan; Baehr, Craig – College Composition and Communication, 2012
This article provides an overview of the ways in which data and text mining have potential as research methodologies in composition studies. It introduces data mining in the context of the field of composition studies and discusses ways in which this methodology can complement and extend our existing research practices by blending the best of what…
Descriptors: Writing (Composition), Content Analysis, Information Technology, Data Analysis
Kandlbinder, Peter – Higher Education Research and Development, 2012
"Higher Education Research & Development" ("HERD") was established to address a perceived gap in higher education publishing: research of interest to practitioners that was engagingly written. After 30 years of contributing to the field, "HERD" has constructed a unique position for itself among higher education…
Descriptors: Higher Education, Research and Development, Periodicals, Theory Practice Relationship
Samson, Duncan – Australian Mathematics Teacher, 2012
Pattern generalisation has become an important feature of mathematics classrooms around the globe. Sometimes these activities focus purely on given numerical terms, but the use of pictorial or figural patterns is now becoming part of the standard repertoire for such generalisation exercises. From a pedagogic point of view, the investigation of…
Descriptors: Algebra, Mathematics Instruction, Teaching Methods, Educational Strategies
Fitzgerald, S.; McCauley, R.; Hanks, B.; Murphy, L.; Simon, B.; Zander, C. – IEEE Transactions on Education, 2010
Learning to debug is a difficult, yet essential, aspect of learning to program. Students in this multi-institutional study report that finding bugs is harder than fixing them. They use a wide variety of debugging strategies, some of them unexpected. Time spent on understanding the problem can be effective. Pattern matching, particularly at the…
Descriptors: Undergraduate Study, Computer Science Education, Introductory Courses, Programming
Wong, Andrew D.; Wu, Lan – Marketing Education Review, 2012
Despite an increasing demand for marketing researchers familiar with ethnographic methods, ethnographic consumer research has received little coverage in current marketing curricula. The innovation discussed in the present paper addresses this problem: it introduces the notion of "cultural relativism" and gives students hands-on experience in…
Descriptors: Marketing, Ethnography, Cultural Pluralism, Curriculum Development
Liu, Bin; Bi, Qing-sheng – Online Submission, 2010
The Verhulst model can be used to forecast the sequence, which is characterized as non-monotone and fluctuant sequence or saturated S-form sequence. According to the situation of national enrollment scale of college, this paper forecasts the quantity of students taking entrance examination to college with a Verhulst model with remedy based on data…
Descriptors: Higher Education, Foreign Countries, Mathematical Models, College Entrance Examinations