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Aasheim, Cheryl L.; Williams, Susan; Rutner, Paige; Gardiner, Adrian – Journal of Information Systems Education, 2015
The rate at which data is produced and accumulated today is greater than at any point in history with little prospect of slowing. As organizations attempt to collect and analyze this data, there is a tremendous unmet demand for appropriately skilled knowledge workers. In response, universities are developing degree programs in data science and…
Descriptors: Undergraduate Study, Course Descriptions, College Programs, Data Analysis
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Rigby, Jessica G. – Educational Administration Quarterly, 2014
Purpose: This study examines conceptions of instructional leadership in the institutional environment. We know that principals' practices affect student learning and that principals are influenced by ideas in the broader environment. This article examines and defines the multiple conceptions of what it means for principals to be instructional…
Descriptors: Instructional Leadership, Principals, Content Analysis, Data Collection
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Hilburn, Jeremy; Journell, Wayne; Buchanan, Lisa Brown – High School Journal, 2016
In this content analysis of state U.S. History and Civics standards, we compared the treatment of immigration across three types of states with differing immigration demographics. Analyzing standards from 18 states from a critical race methodology perspective, our findings indicated three sets of tensions: a unified American story versus local…
Descriptors: Content Analysis, Immigration, Immigrants, United States History
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LaBelle, Jeffrey; Kendall, Daniel – Journal of Catholic Education, 2016
What common values do diverse Jesuit institutions share? In what ways are Jesuit colleges and universities working to maintain mission, identity, and traditions within the context of 21st-century higher education? To ground their response to these questions, the researchers first review the historical and ecclesial developments that have…
Descriptors: Church Related Colleges, Universities, Institutional Characteristics, Catholics
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O, Jenny; Sherwood, Jennifer J.; Yingling, Vanessa R. – Quest, 2017
High-impact practices foster student success, but faculty faced with heavy teaching loads and lack of resources and infrastructure are challenged to implement such practices. Kinesiology faculty at California State University, East Bay collaborated to implement two student programs: Kinesiology Research Group and Get Fit! Stay Fit! The Kinesiology…
Descriptors: Undergraduate Students, Student Research, Teacher Student Relationship, Partnerships in Education
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Albert Y. Kim; Adriana Escobedo-Land – Journal of Statistics Education, 2015
We present a data set consisting of user profile data for 59,946 San Francisco OkCupid users (a free online dating website) from June 2012. The data set includes typical user information, lifestyle variables, and text responses to 10 essay questions. We present four example analyses suitable for use in undergraduate introductory probability and…
Descriptors: Statistics, Introductory Courses, Data, Educational Practices
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Melguizo, Tatiana; Kosiewicz, Holly; Prather, George; Bos, Johannes – Journal of Higher Education, 2014
The study's main objective was to provide a detailed description of math Assessment and Placement (A&P) policies in the Los Angeles Community College District (LACCD). The study was focused on math because a larger proportion of students place into remedial math than remedial reading or English (Bailey, Jeong, & Cho, 2010; Parsad, Lewis,…
Descriptors: Community Colleges, Student Evaluation, Educational Diagnosis, Student Placement
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Lee, Brason – Multiple Voices for Ethnically Diverse Exceptional Learners, 2014
This study applies a diagnostic errors framework to identify and classify mistakes that were made in a psychoeducational assessment of a bilingual student who was misidentified as a person with autism. Findings of diagnostic errors were categorized under four domains--faulty knowledge, faulty data gathering, faulty data processing, and faulty…
Descriptors: Bilingualism, Evaluation Methods, Error Patterns, Knowledge Level