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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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Christensen, Steven S.; Howell, Scott L.; Hall, C. Giles – Online Journal of Distance Learning Administration, 2016
This article is a follow-up to a previous article, "Six Ways to Increase Enrollments at an Extended Campus," published in this journal (vol. 17, no. 4, winter 2015), wherein a seventh best practice to increase course offerings and increase enrollments at an extended campus is presented. This best practice seeks to identify those areas of…
Descriptors: Best Practices, Enrollment, Higher Education, Universities
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
Perez, Jerry F. – ProQuest LLC, 2013
The goal of the dissertation study was to evaluate the existing DG scheduling algorithm. The evaluation was developed through previously explored simulated analyses of DGs performed by researchers in the field of DG scheduling optimization and to improve the current RT framework of the DG at TTU. The author analyzed the RT of an actual DG, thereby…
Descriptors: Computer Science, Scheduling, Mathematics, Universities
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Michalski, Greg V. – Community College Journal of Research and Practice, 2014
Excessive course attrition is costly to both the student and the institution. While most institutions have systems to quantify and report the numbers, far less attention is typically paid to each student's reason(s) for withdrawal. In this case study, text analytics was used to analyze a large set of open-ended written comments in which students…
Descriptors: Student Attrition, Withdrawal (Education), Data Analysis, Models
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Thompson, Nik; Toohey, Danny – Journal of Information Systems Education, 2014
This teaching case discusses the analysis of an electronic voting system. The development of the case was motivated by research into information security and management, but as it includes procedural aspects, organizational structure and personnel, it is a suitable basis for all aspects of systems analysis, planning and design tasks. The material…
Descriptors: Voting, Systems Analysis, Undergraduate Study, Case Method (Teaching Technique)
Bell Haynes, Janel Elizabeth – ProQuest LLC, 2013
The purpose of this mixed method sequential explanatory case study was to describe the relationship of a student outcomes assessment program, as measured by the Peregrine Academic Leveling Course, (ALC), to the academic performance, determined by scores on the Peregrine Common Professional Component (CPC) examination, of students enrolled during…
Descriptors: Case Studies, Business Administration Education, Student Evaluation, Testing Programs
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Yau, Jane Y.-K.; Joy, Mike; Dickert, Stephan – Educational Technology & Society, 2010
We report the results of a diary study to determine whether a diary approach could be used as a successful way of retrieving a) the user's learning contexts, b) which learning contexts are significant for consideration within an m-learning application, and c) which learning materials are appropriate for which learning situation. Analyses of data…
Descriptors: Foreign Countries, Educational Technology, Data Analysis, Student Characteristics