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Ariyachandra, Thilini – Information Systems Education Journal, 2020
During the past decade, digital transformation enabled by big data and analytics emerged as a key theme in the business world. It promises to continue be a theme of major importance in the 2020s. Digital transformation comes at the cost of grappling with and analyzing the ever-growing volume of data. Data visualization techniques are seen as a…
Descriptors: Skill Development, Undergraduate Students, Data Analysis, Data Use
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Lee, Dabae – Journal of Education for Teaching: International Research and Pedagogy, 2020
As heavy emphasis is placed on evidence-informed teaching to improve educational practice, developing educators' statistical literacy to facilitate data-driven decision-making becomes critical. However, there are few practical examples of how statistics can be taught to develop statistical literacy, especially in online courses. This article…
Descriptors: Statistics, Online Courses, Electronic Learning, Evidence Based Practice
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Mountford-Zimdars, Anna; Moore, Joanne – Oxford Review of Education, 2020
Highly selective higher education institutions (HEIs) are simultaneously mandated to enable access for populations which have traditionally been excluded ('equality'), and to ensure that admitted students have the potential to succeed in higher education ('excellence'). This article uses original empirical case study data from 2018, from nine…
Descriptors: Undergraduate Students, College Admission, Selective Admission, Foreign Countries
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Dapiton, Ethelbert P.; Canlas, Ranie B. – European Journal of Educational Research, 2020
Research productivity plays an important role in the prestige and reputation among higher education institutions. However, the time spent to do research among Filipino academics is the most pressing issue since they can barely meet the requirement for research productivity. Further, the lack of time for data gathering aggravated the drawbacks for…
Descriptors: College Faculty, Data Analysis, Productivity, Reputation
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Priemer, Burkhard; Pfeiler, Stephan; Ludwig, Tobias – Physical Review Physics Education Research, 2020
We report the findings of an empirical study that investigated whether the source of data--firsthand or secondhand data gained from lab work experiments--has an influence on students' learning outcomes. Results indicate that students' choice of a correct or incorrect hypothesis for a pendulum lab experiment on the influence of the mass of the bob…
Descriptors: Laboratory Experiments, Science Experiments, Motion, Scientific Concepts
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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
Craig, Scotty D.; Li, Siyuan; Prewitt, Deborah; Morgan, Laurie A.; Schroeder, Noah L. – Advanced Distributed Learning Initiative, 2020
The Science of Learning and Readiness (SoLaR) project seeks to demonstrate to Defense and other Government stakeholders the "art of the possible" for high-quality distributed learning and to create a practical guide for how to infuse such qualities into the broader Department of Defense (DoD) distributed learning ecosystem. This report…
Descriptors: Distance Education, Educational Technology, Learning Analytics, Data Collection
Complete College America, 2020
States' commitments to tackling long standing inequities have been stifled by missing data, long delays, insufficient data-analysis tools, and the excessive reporting burden placed on states and institutions. If states hope to achieve their completion and equity goals, they need access to data that does not leave them guessing--so they can…
Descriptors: Postsecondary Education, Partnerships in Education, Data Analysis, Data Use
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
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Aulck, Lovenoor; Nambi, Dev; West, Jevin – International Educational Data Mining Society, 2020
Effectively estimating student enrollment and recruiting students is critical to the success of any university. However, despite having an abundance of data and researchers at the forefront of data science, traditional universities are not fully leveraging machine learning and data mining approaches to improve their enrollment management…
Descriptors: Resource Allocation, Scholarships, Artificial Intelligence, Data Analysis
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
Marion, Scott – National Center for the Improvement of Educational Assessment, 2020
In March 2020, the coronavirus pandemic and attending shift to remote schooling initiated a dramatic impact on student learning, an impact that state and district leaders feel a sense of urgency to understand and address. These leaders are accustomed using state and district test data to shed light on student achievement and growth. But without…
Descriptors: Educational Opportunities, Equal Education, Data Collection, COVID-19
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
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
As the education and workforce development community looks more and more to CTE to help ensure students are both college and career ready, understanding and using CTE data and research becomes increasingly important. This is the first in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE)…
Descriptors: Vocational Education, Units of Study, Data Use, Training Objectives
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
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