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Shores, Kenneth; Candelaria, Christopher – Educational Researcher, 2020
Use of education finance data is ubiquitous. Yet, because the academic calendar circumscribes two calendar years, researchers have linked the Consumer Price Index (CPI) to three different dates: fall, spring, and academic fiscal years. We demonstrate that linking the CPI to these different academic years results in identifying different trends in…
Descriptors: Educational Finance, Economic Climate, Cost Indexes, Data Analysis
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McGarvey, David J. – Journal of Chemical Education, 2020
A laboratory experiment characterized by a whole-class data-pooling approach to generate a data set that can be used to test a model of the influence of ionic strength on electrolyte solubility is described and discussed. The design of the experiment makes efficient use of the laboratory period and releases time for instructional and dialogic…
Descriptors: Laboratory Experiments, Chemistry, Science Instruction, Computer Uses in Education
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Mohan, Kaushik; Bergner, Yoav; Halpin, Peter – Technology, Knowledge and Learning, 2020
Technology-based assessments that involve collaboration among students offer many sources of process data, although it remains unclear which aspects of these data are most meaningful for making inferences about students' collaborative skills. Recent research has focused mainly on theory-based rubrics for qualitative coding of process data (e.g.,…
Descriptors: Computer Assisted Testing, Student Evaluation, Cooperation, Grade 12
Araka, Eric; Maina, Elizaphan; Gitonga, Rhoda; Oboko, Robert – Research and Practice in Technology Enhanced Learning, 2020
For the last one decade, research in self-regulated learning (SRL) and educational psychology has proliferated. Researchers and educators have focused on how to support leaners grow their SRL skills on both face-to-face and e-learning environments. In addition, recent studies and meta-analysis have greatly contributed to the domain knowledge on…
Descriptors: Educational Trends, Educational Research, Independent Study, Electronic Learning
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Ellison, Bert; Braxton, John M.; Lang, Melissa; Grant, Kelly – Strategic Enrollment Management Quarterly, 2020
The "institutional databases audit" addresses common challenges of retention research by viewing existing databases and key surveys as resources for analyzing persistence rates. Such an audit helps verify whether student database elements have theoretically derived research referents. Positive results show that institutions can acquire…
Descriptors: Databases, Audits (Verification), College Students, Academic Persistence
Data Quality Campaign, 2020
For the first time in history, public schools have closed across the country, and students have been receiving instruction from their homes. But in their new role as educators, parents have been largely flying blind in their efforts to ensure that students are on track for success. This problem is not new: parents have always needed to be informed…
Descriptors: Data Use, COVID-19, Pandemics, Parent Participation
Farley, Jennifer; Duppong Hurley, Kristin; Aitken, A. Angelique – Grantee Submission, 2020
This project explored the reliability and utility of transcription in coding qualitative data across two studies in a program evaluation context. The first study tested the method of direct audio coding, or coding audio files without transcripts, using qualitative data software. The presence and frequency of codes applied in direct audio coding…
Descriptors: Program Implementation, Audio Equipment, Coding, Usability
Finn, Douglas, III.; Finn, Michelle – Solution Tree, 2020
A challenge at the heart of personalized competency-based education (PCBE) is grouping and scheduling students according to their learning needs rather than their age. With this guidebook, you'll take a deep dive into the why and how of these foundational PCBE components. Gain clear guidance for gathering standards-based data and then using the…
Descriptors: Competency Based Education, Scheduling, Grouping (Instructional Purposes), Student Needs
Johnson, Hans; Mejia, Marisol Cuellar – Public Policy Institute of California, 2020
This document includes two technical appendices that accompany the full report, "Increasing Community College Transfers: Progress and Barriers." The two appendixes include: (1) Data and Methods; and (2) Figures and Tables. [For the full report, "Increasing Community College Transfers: Progress and Barriers," see ED608004.]
Descriptors: Community Colleges, College Transfer Students, Transfer Rates (College), Enrollment
Gordon, Nora; Conaway, Carrie – Harvard Education Press, 2020
Written by two leading experts in education research and policy, "Common-Sense Evidence" is a concise, accessible guide that helps education leaders find and interpret data and research, and then put that knowledge into action. In the book, Nora Gordon and Carrie Conaway empower educators to address the federal Every Student Succeeds Act…
Descriptors: Data Use, Educational Research, Educational Legislation, Federal Legislation
Cho, April E.; Wang, Chun; Zhang, Xue; Xu, Gongjun – Grantee Submission, 2020
Multidimensional Item Response Theory (MIRT) is widely used in assessment and evaluation of educational and psychological tests. It models the individual response patterns by specifying functional relationship between individuals' multiple latent traits and their responses to test items. One major challenge in parameter estimation in MIRT is that…
Descriptors: Item Response Theory, Mathematics, Statistical Inference, Maximum Likelihood Statistics
Ann Teresa Kellogg – ProQuest LLC, 2020
Forty states, including the District of Columbia, have established state longitudinal data systems (SLDS). The data included, intended functions, and methods for establishing SLDS vary from state to state. Further, forty-nine states and the District of Columbia have received one or more federal grant to support SLDS development. The adoption of…
Descriptors: Data Use, Educational Policy, Government School Relationship, Federal Aid
Guojing Zhou – ProQuest LLC, 2020
In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…
Descriptors: Educational Policy, Problem Solving, Learning Processes, Competence
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Hou, Su-I – International Journal for the Scholarship of Teaching and Learning, 2021
There is a critical need to conduct empirical studies on teaching mixed methods research (MMR).This study used a mixed methods process evaluation to provide practical guidance on effective design elements and impactful teaching approaches among five cohort groups of students (2016-2020) enrolled in a doctoral MMR course. Students engaged in…
Descriptors: Mixed Methods Research, Integrated Curriculum, Courses, Research Design
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Murchan, Damian; Siddiq, Fazilat – Large-scale Assessments in Education, 2021
Analysis of user-generated data (for example process data from logfiles, learning analytics, and data mining) in computer-based environments has gained much attention in the last decade and is considered a promising evolving field in learning sciences. In the area of educational assessment, the benefits of such data and how to exploit them are…
Descriptors: Ethics, Federal Regulation, Learning Analytics, Data Use
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