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Hartong, Sigrid; Piattoeva, Nelli – Critical Studies in Education, 2021
This paper contributes to a growing body of research on the increasing datafication of schooling, which has become a salient topic in comparative education and education policy research. Specifically, we address the rising scholarly concern about the meaning of (comparing) contexts as bounded localities facing an increasingly fluid and generative…
Descriptors: Data Analysis, Comparative Education, Educational Policy, Standardized Tests
Dameron, Merry Leigh; Perry, Jennifer; Saunders, Rachel; Foxx, Sejal P. – Journal of School Counseling, 2021
Using data to drive decision-making and evaluate program effectiveness is paramount to the school counseling profession. In this pilot study, researchers utilized a quasi-experimental design to examine the impact of training in action research on students' data attitudes and self-efficacy. Participants in the experimental group saw greater…
Descriptors: School Counseling, Action Research, Counselor Training, Program Effectiveness
Flanagan, Matthew F.; Kutscher, Elisabeth L. – TEACHING Exceptional Children, 2021
Community-based instruction (CBI) is one type of community experience in which students with disabilities work toward instructional goals while engaged in activities occurring in a natural environment outside of a typical school setting (Hoover, 2016; Rowe et al., 2015). Educators who implement CBI capitalize on their students' time in the…
Descriptors: Community Based Instruction (Disabilities), Progress Monitoring, Students with Disabilities, High School Students
McFarland, Daniel A.; Khanna, Saurabh; Domingue, Benjamin W.; Pardos, Zachary A. – AERA Open, 2021
This AERA Open special topic concerns the large emerging research area of education data science (EDS). In a narrow sense, EDS applies statistics and computational techniques to educational phenomena and questions. In a broader sense, it is an umbrella for a fleet of new computational techniques being used to identify new forms of data, measures,…
Descriptors: Learning Analytics, Statistics, Computation, Measurement
Bickmore, Dana L.; Roberts, Maria M.; Gonzales, Miguel M. – Journal of Educational Administration, 2021
Purpose: School improvement planning and implementation is one organizational process by which principals may positively impact school and student outcomes. Limited research, however, has explored how principal preparation programs prepare aspiring leaders for this common school leadership activity. This study examined aspiring principals engaged…
Descriptors: Principals, Administrator Education, Educational Improvement, Instructional Leadership
Public Policy Institute of California, 2021
The PPIC Statewide Survey was inaugurated in 1998 to provide a way for Californians to express their views on important public policy issues. The survey provides timely, relevant, nonpartisan information on Californians' political, social, and economic opinions. It seeks to inform and improve state policymaking, raise awareness, and encourage…
Descriptors: Research Methodology, Research Design, Sample Size, Data Collection
Pratt-Williams, Jaunelle; Harris, Julie; Saucedo, Daniela; Mislevy, Jessica – Regional Educational Laboratory Appalachia, 2021
Regional Educational Laboratory Appalachia researchers developed the Cost-Feasibility Analysis (CFA) Toolkit to help education leaders estimate whether implementing supplemental online programs is affordable given a school or district's available resources. The CFA Toolkit guides users through a four-stage process that yields cost information that…
Descriptors: Cost Effectiveness, Feasibility Studies, Supplementary Education, Online Courses
Bitterman, Amy; Lammert, Jill; Moore, Hadley; Schaaf, Jennifer – IDEA Data Center, 2021
This resource provides states with an overview on how to gather representative parent involvement data for State Performance Plan/Annual Performance Report (SPP/APR) Indicator B8. The resource defines key concepts such as representativeness, sampling, nonresponse bias, response rates, and weighting. It also offers information on how to improve the…
Descriptors: Parent Participation, Data Collection, Annual Reports, Sampling
Foundation for Excellence in Education (ExcelinEd), 2021
The education system's purpose is to enable every student to have the knowledge and skills to reach their full potential -- which requires students are college and career ready. But for far too many students, the system is falling short. A recent report found 60 percent of high school graduates were not college or career ready. Closing this gap…
Descriptors: College Readiness, Career Readiness, Military Service, Readiness
Erbas, Cagdas; Atherton, Stephen – Journal of Learning and Teaching in Digital Age, 2020
Augmented reality is one of the state-of-the-art technologies, which is utilised for educational purposes, in a wide variety of fields. Each year the frequency of academic publications on augmented reality use in education has increased. This study aims to study content analysis of augmented reality studies, used for educational purposes,…
Descriptors: Content Analysis, Computer Simulation, Educational Technology, Literature Reviews
Kardes, Servet – International Journal of Progressive Education, 2020
The purpose of this study is to examine the abstracts in 6th International Preschool Education Congress abstract book in terms of research subject, method, model, sample type, data collection tools, data analysis techniques, validity and reliability. This study is a qualitative study and was conducted using document analysis, which is one of the…
Descriptors: Preschool Education, Educational Research, Research Methodology, Data Collection
Curtin, Susan; DeJong, David; Robinson, Derrick; Card, Karen; Campoli, Ayana – Voices of Reform, 2020
This study explores the methodology presented in four leading educational leadership journals for a period of three years to investigate the predominant methodologies reported in journals most read by faculty members in educational administration or leadership programs. This content analysis study uses frequency and percentages to gather data on…
Descriptors: Research Methodology, Periodicals, Educational Administration, Journal Articles
Charitopoulos, Angelos; Rangoussi, Maria; Koulouriotis, Dimitrios – International Journal of Artificial Intelligence in Education, 2020
The aim of this paper is to survey recent research publications that use Soft Computing methods to answer education-related problems based on the analysis of educational data 'mined' mainly from interactive/e-learning systems. Such systems are known to generate and store large volumes of data that can be exploited to assess the learner, the system…
Descriptors: Data Collection, Learning Analytics, Educational Research, Artificial Intelligence
Olsen, Jennifer K.; Sharma, Kshitij; Rummel, Nikol; Aleven, Vincent – British Journal of Educational Technology, 2020
The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined…
Descriptors: Cooperative Learning, Learning Analytics, Data Use, Data Collection
Terrell, Jenna Howard; Henrich, Christopher C.; Nabors, Amanda; Grogan, Kathryn; McCrary, Joseph – Contemporary School Psychology, 2020
This paper describes how a partnership between a large, urban school district and researchers resulted in a process to measure school climate and support schools and the district in school safety efforts. The partnership utilized a comprehensive framework of safe and supportive schools, where constructs such as physical safety and security were…
Descriptors: School Safety, Urban Schools, School Districts, Partnerships in Education