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Direct linkCamm, Jeffrey D.; McCray, Gordon E.; Roehm, Michelle L. – Decision Sciences Journal of Innovative Education, 2023
Based on our experience developing and delivering a highly successful data visualization course within a Master of Science in Business Analytics program, we present a taxonomy for data visualization courses and recommend content and pedagogical features for each type of data visualization course therein. We also discuss the interdependence between…
Descriptors: Visual Aids, Masters Programs, Business Administration Education, Data Use
Marpaung, Jonathan – ProQuest LLC, 2021
The shortage of qualified administrators who can utilize data analytics means that institutions are not able to harness data analytics to its fullest potential in order to remain competitive in a higher education market that continued to reward institutions that embrace entrepreneurship. Examining how new student affairs professionals in US higher…
Descriptors: Student Personnel Workers, Entry Workers, Readiness, Data Use
Alturki, Sarah; Cohausz, Lea; Stuckenschmidt, Heiner – Smart Learning Environments, 2022
The tremendous growth in electronic educational data creates the need to have meaningful information extracted from it. Educational Data Mining (EDM) is an exciting research area that can reveal valuable knowledge from educational databases. This knowledge can be used for many purposes, including identifying dropouts or weak students who need…
Descriptors: Information Retrieval, Data Analysis, Data Use, Prediction
Gonzales, Miguel M.; Bickmore, Dana L.; Roberts, Maria B. – Journal of Research on Leadership Education, 2022
This study examines what aspiring principal candidates in one university-based preparation program learned as a result of developing and implementing a school improvement plan. A case study approach was used to examine 53 aspiring principals' reports of what they learned from implementing school improvement plans. Findings revealed three…
Descriptors: Administrator Education, Principals, Student Attitudes, Instructional Leadership
Gómez-Torres, Emilse – Statistics Education Research Journal, 2021
This paper describes the evolution of "recognition of need for data" and "strategical thinking", two types of thinking identified by Wild and Pfannkuch in their Framework for Statistical Thinking in Empirical Enquiry, as well as its relevance for math teacher professional development. The research was carried out with ten…
Descriptors: Thinking Skills, Mathematics Teachers, Secondary School Teachers, Data Analysis
Download full textZhao, Yijun; Xu, Qiangwen; Chen, Ming; Weiss, Gary M. – International Educational Data Mining Society, 2020
Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…
Descriptors: Grade Prediction, Data Analysis, Masters Programs, Admission Criteria
Gilbert, Jamie – Excellence in Education Journal, 2020
Research regarding physical education teacher education (PETE) programs in the United States is narrowly focused, placing predominant emphasis on undergraduate programs. The purpose of this study was to provide a descriptive analysis of PETE master's programs in the United States and examine their adherence to SHAPE America's advanced standards…
Descriptors: Physical Education, Teacher Education Programs, Masters Programs, Alignment (Education)
