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Salas-Velasco, Manuel – Educational Research for Policy and Practice, 2020
It is important for policymakers and managers of higher education institutions knowing how well their universities are operating. This article aimed to show that data envelopment analysis (DEA) can be an excellent benchmarking instrument in higher education. First, by using several inputs and outputs at the institutional level, DEA can identify…
Descriptors: Foreign Countries, Educational Administration, College Administration, Educational Assessment
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Brower, Rebecca L.; Mokher, Christine G.; Bertrand Jones, Tamara; Cox, Bradley E.; Hu, Shouping – AERA Open, 2020
This multiple case study examines the extent and ways in which leaders and administrators in Florida College System (FCS) institutions engage in distributed leadership through data sharing with frontline staff. Based on focus groups and individual interviews with administrators, faculty, and staff (659 participants) from 21 state colleges, we…
Descriptors: Community Colleges, College Administration, Participative Decision Making, Data Use
Weeks, Mollie R.; Kulkarni, Tara; Kim, Jiwon; Sullivan, Amanda L. – Communique, 2020
This article is the third installment in a series regarding the conduct, dissemination, and consumption of large-scale secondary research. See Part 1 on conducting secondary analysis (Sullivan et al., 2020) (EJ1239445) and Part 2 on practitioners' use of this research (Kulkarni et al., 2020) (EJ1248185). The purpose in this final installment is to…
Descriptors: Measurement, Data Analysis, Popular Culture, Credibility
Education Commission of the States, 2020
The population of English learners (ELs) in K-12 schools continues to grow. Between the 2009-10 and 2014-15 school years, the percentage of English learners increased in over half of the states, and in 2017, English learners made up 10.1% of the total student population. Research suggests that in their transition to English, non-native speakers…
Descriptors: Elementary School Students, English Language Learners, English (Second Language), Second Language Learning
Data Quality Campaign, 2020
School closures resulting from the COVID-19 pandemic have left educators and families with the responsibility of rapidly learning how to support students while they are at home. This fundamental shift in the way most students receive instruction makes it critical for educators and families to be able to use data to meet students where they are and…
Descriptors: Distance Education, Student Records, COVID-19, Pandemics
Robertson, Brett – Institute for College Access & Success, 2020
One lasting legacy of the COVID-19 pandemic may be more students attending online classes at both traditional and fully online colleges. The efficacy of online education remains unproven, especially for students with academic or other challenges. And yet, both students and policymakers lack the data they need to assess whether online classes are…
Descriptors: Online Courses, Electronic Learning, Distance Education, Educational Quality
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Mbouzao, Boniface; Desmarais, Michel C.; Shrier, Ian – International Educational Data Mining Society, 2020
Massive online Open Courses (MOOCs) make extensive use of videos. Students interact with them by pausing, seeking forward or backward, replaying segments, etc. We can reasonably assume that students have different patterns of video interactions, but it remains hard to compare student video interactions. Some methods were developed, such as Markov…
Descriptors: Comparative Analysis, Video Technology, Interaction, Measurement Techniques
Montenegro, Erick; Jankowski, Natasha A. – National Institute for Learning Outcomes Assessment, 2020
Entering into a new decade with an even more diversified college student population will not only require more assessment models involving students but also deeper professional development of institutional representatives key to student learning. Reflecting upon the conversations over the last three years around culturally responsive assessment…
Descriptors: College Students, Cultural Relevance, Student Evaluation, College Outcomes Assessment
NWEA, 2020
To help provide context to MAP® Growth™ normative percentiles, this document includes multiple College and Career Readiness (CCR) benchmarks, including those from ACT®, SAT®, and Smarter Balanced Assessment Consortium (Smarter Balanced). The comparative data in the tables presented in this report can be used as data points for instructional…
Descriptors: Data Use, Decision Making, Achievement Tests, College Entrance Examinations
Yazmene Thomas – ProQuest LLC, 2020
This qualitative, plausibility probe case study was conducted to determine if adjunct faculty teaching in humanities courses use effective teaching and learning styles in tertiary classrooms. The researcher specifically sought to find rich data on formative assessments and the teaching and learning theory andragogy. To ascertain this data the…
Descriptors: Formative Evaluation, Andragogy, Teaching Methods, Instructional Effectiveness
Nick Muehling – ProQuest LLC, 2020
Often in classrooms meaning-making skills are not acknowledged and therefore not fostered. In addition, there are many high school ELA classrooms that prioritize students' reaching one correct answer, or one best interpretation of literature. Yet, some ELA teachers do engage their students in rich meaning-making processes, and do not privilege one…
Descriptors: English Teachers, Language Arts, High School Teachers, Knowledge Level
Connie Marshall – ProQuest LLC, 2020
The purpose of this study was to evaluate the relationship of pre-entrance factors and the success of students in an Associate of Applied Science (A.A.S.) degree nursing program at a community college in East Tennessee. The criterion variable was success in the nursing program. Success was defined as academic success in all nursing courses and…
Descriptors: College Entrance Examinations, Screening Tests, Nursing Education, Nursing Students
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Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education
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Freeman, Jennifer; Peterson, Reece; Kern, Lee; Mathur, Sarup R.; Barber, Brian; Power, Mara; Perea, Madison – Behavioral Disorders, 2023
This document provides recommendations of the Council for Children with Behavioral Disorders (CCBD) regarding the use of seclusion in schools. It updates the CCBD's position on this topic first published in 2009 and includes (a) key definitions, (b) a summary of problems with the use of seclusion, (c) strategies to eliminate the use of seclusion,…
Descriptors: Student Behavior, Behavior Disorders, Discipline, Research
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He, Qiwei; Borgonovi, Francesca; Suárez-Álvarez, Javier – Journal of Computer Assisted Learning, 2023
Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in…
Descriptors: Data Analysis, Reading Processes, Task Analysis, Time on Task
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