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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
Orta Amaro, José Antonio; Sánchez Sánchez, Ernesto A.; Ramírez-Esperón, María Eugenia – North American Chapter of the International Group for the Psychology of Mathematics Education, 2017
The aim of this investigation is to explore the preservice teachers' reasoning about variation (variability or spread) when they analyze data in situations that involve risk. In particular, in this communication the responses to two problems of a questionnaire administered to 96 preservice teachers are reported. The problems are of comparing…
Descriptors: Preservice Teachers, Student Teacher Attitudes, Abstract Reasoning, Data Analysis
Levina, Elena Y.; Voronina, Marianna V.; Rybolovleva, Alla A.; Sharafutdinova, Mariya M.; Zhandarova, Larisa F.; Avilova, Vilora V. – International Journal of Environmental and Science Education, 2016
The research urgency is caused by necessity to develop the informational support for management of development of higher education in conditions of high turbulence of external and internal environment. The purpose of the paper is the development of methodology for structuring and analyzing datasets of educational activities in order to reduce…
Descriptors: Higher Education, Educational Administration, Information Technology, Information Management
Laguilles, Jerold S. – New Directions for Institutional Research, 2016
This chapter describes the background and process for collecting postgraduation outcomes data at a 4-year not-for-profit private college. The strategies, analyses, and reporting of this data-collection effort are highlighted with the use of a case study.
Descriptors: Private Colleges, Outcome Measures, Data Collection, Graduate Study
Arndt, Timothy; Guercio, Angela – International Association for Development of the Information Society, 2014
Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…
Descriptors: Higher Education, College Students, Postsecondary Education, Data Collection
Leimer, Christina – Association for Institutional Research (NJ1), 2011
As Institutional Research (IR) moves beyond its fiftieth anniversary, a new profession, called Institutional Effectiveness (IE), is emerging. In some respects, IR and IE are similar. IE, though, appears to be taking the leadership role. What are the structure, purpose, and responsibilities of IE offices? What are the implications for the IR field…
Descriptors: Institutional Research, Institutional Evaluation, Accreditation (Institutions), School Effectiveness
Xie, Qin – Language Assessment Quarterly, 2013
This article reports an empirical study that examined the pattern of test preparation for College English Test Band 4 (CET4) and the differential effects of test preparation practices on its scores, thereby drawing implications for CET4 score validity. Data collection involved 1,003 test takers of CET4. A pretest was administered at the beginning…
Descriptors: Foreign Countries, Undergraduate Students, College English, Language Tests
Steinerová, Jela; Šušol, Jaroslav – Information Research: An International Electronic Journal, 2007
Introduction: The paper is based on the study of library users in Slovakia as part of a larger research project on the use of information. Method: A large-scale questionnaire survey was conducted in 2002 in sixteen academic and research libraries with 793 subjects, especially students and educators. Analysis: The data were analysed with the use of…
Descriptors: Users (Information), Questionnaires, Surveys, Research Libraries