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Pei-Ling Tan, Jennifer; Koh, Elizabeth; Jonathan, Christin; Yang, Simon – Journal of Learning Analytics, 2017
The affordances of learning analytics (LA) tools and solutions are being increasingly harnessed for enhancing 21st century pedagogical and learning strategies and outcomes. However, use cases and empirical understandings of students' experiences with LA tools and environments aimed at fostering 21st century literacies, especially in the K-12…
Descriptors: Critical Reading, Literacy, Student Attitudes, Learning Strategies
Somers, Marie-Andrée; Haider, Zeest – MDRC, 2017
The Communities In Schools (CIS) Model of Integrated Student Supports aims to reduce dropout rates by providing students with integrated and tiered support services based on their levels of need. The model includes preventive services that are available to all students (Level 1 services) as well as intensive, targeted, and sustained services…
Descriptors: Dropout Prevention, Student Needs, Elementary Schools, Middle Schools
Schanzenbach, Diane Whitmore – Education Finance and Policy, 2012
Research based on randomized experiments (along with high-quality quasi-experiments) has gained traction in education circles in recent years. There is little doubt this has been driven in large part by the shift in research funding strategy by the Department of Education's Institute of Education Sciences under Grover Whitehurst's lead, described…
Descriptors: Educational Research, Educational Researchers, Quasiexperimental Design, Educational Trends
Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
Lane, Forrest C.; Henson, Robin K. – Online Submission, 2010
Education research rarely lends itself to large scale experimental research and true randomization, leaving the researcher to quasi-experimental designs. The problem with quasi-experimental research is that underlying factors may impact group selection and lead to potentially biased results. One way to minimize the impact of non-randomization is…
Descriptors: Quasiexperimental Design, Research Methodology, Educational Research, Scores

Rindskopf, David – New Directions for Program Evaluation, 1986
Modeling the process by which participants are selected into groups, rather than adjusting for preexisting group differences, provides the basis for several new approaches to the analysis of data from nonrandomized studies. Econometric approaches, the propensity scores approach, and the relative assignment variable approach to the modeling of…
Descriptors: Effect Size, Experimental Groups, Intelligence Quotient, Mathematical Models
Haystead, Mark W. – Marzano Research Laboratory, 2009
This report summarizes the findings of an analysis of a series of action research projects conducted by Goshen Community Schools at the elementary, middle, and high school levels. During the 2008-2009 school year, 40 teachers participated in independent action research studies regarding the extent to which a six step approach to direct vocabulary…
Descriptors: Elementary School Students, Elementary School Teachers, Middle School Students, Middle School Teachers

Roos, Leslie L., Jr.; Nicol, J. Patrick – Evaluation Review, 1981
Criteria for suitable research designs for use with large databases are suggested and analyzed. The advantages and disadvantages of several types of quasi-experimental designs are compared. Examples are taken from the authors' research with data from the Manitoba Health Services Commission. (Author/AL)
Descriptors: Comparative Analysis, Control Groups, Databases, Experimental Groups
Garcia, Penny Ann – Information Technology in Childhood Education Annual, 2002
The classroom teacher's comfort and familiarity with computers and software influences student-computer use in the classroom. Teachers remain mired in repetitive introduction of basic software mechanics and rarely progress with students to advanced concepts or complex applications. An Online Assistant (OLA) was developed to accompany the…
Descriptors: Experimental Groups, Control Groups, Familiarity, Computer Uses in Education