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Burns, Matthew K.; Taylor, Crystal N.; Warmbold-Brann, Kristy L.; Preast, June L.; Hosp, John L.; Ford, Jeremy W. – Psychology in the Schools, 2017
Intervention researchers often use curriculum-based measurement of reading fluency (CBM-R) with a brief experimental analysis (BEA) to identify an effective intervention for individual students. The current study synthesized data from 22 studies that used CBM-R data within a BEA by computing the standard error of measure (SEM) for the median data…
Descriptors: Error of Measurement, Decision Making, Reading Fluency, Curriculum Based Assessment
McKool, Marissa; Freire, Kimberley; Basile, Kathleen C.; Jones, Kathryn M.; Klevens, Joanne; DeGue, Sarah; Smith, Sharon G. – American Journal of Evaluation, 2020
Despite advances in the sexual violence (SV) prevention field, practitioners still face challenges with identifying indicators to measure the impact of their prevention strategies. Public data, such as existing administrative and surveillance system data, may be a good option for organizations to examine trends in indicators for the purpose of…
Descriptors: Sexual Abuse, Violence, Prevention, Program Effectiveness
Liang, Dong; Chen, Guanbo; Tian, Hailin; Lu, Qi – Advances in Engineering Education, 2020
This article describes how the Sichuan University - Pittsburgh Institute has embraced new methods and new technologies to ensure high-quality laboratory teaching during the COVID-19 pandemic. Taking Mechanical Measurements 1 course as an example, this paper introduces two lab projects that were successfully transferred into online experiments…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, COVID-19
Bodily, Robert; Ikahihifo, Tarah K.; Mackley, Benjamin; Graham, Charles R. – Journal of Computing in Higher Education, 2018
We have designed, developed, and implemented a student-facing learning analytics dashboard in order to support students as they learn in online environments. There are two separate dashboards in our system: a content recommender dashboard and a skills recommender dashboard. The content recommender helps students identify gaps in their content…
Descriptors: Data Collection, Data Analysis, Online Courses, Educational Technology
Viskupic, Karen; Egger, Anne E.; McFadden, Rory R.; Schmitz, Mark D. – Journal of Geoscience Education, 2021
A goal of undergraduate geoscience programs is to prepare students for the geoscience workforce. In order to understand the extent to which programs succeed at this goal, we identified desired workforce skills, compiled undergraduate geoscience program requirements, and mapped workforce skills onto faculty responses to the 2016 National Geoscience…
Descriptors: Job Skills, Thinking Skills, Mathematics Skills, Communication Skills
Sturdevant, Daniel C. – ProQuest LLC, 2017
Charter schools exist under the umbrella of public education, but are not subject to the same level of public oversight or accountability measures as traditional public schools in North Carolina and many other states (BiFulco and Ladd, 2006, Bettinger, 2004). There is a lack of easily accessible efficiency data on charter schools. The primary aim…
Descriptors: Charter Schools, Public Schools, Program Effectiveness, Graphs
Handorf, C. Russell – ProQuest LLC, 2016
This study analyzed the meta-data collected from a honeypot that was run by the Federal Bureau of Investigation for a period of 5 years. This analysis compared the use of existing industry methods and tools, such as Intrusion Detection System alerts, network traffic flow and system log traffic, within the Open Source Security Information Manager…
Descriptors: Information Technology, Computer Security, Information Security, Program Effectiveness
Elizabeth A. D. Wacker; Shauna L. Rienks; Julie S. McCrae – Sage Research Methods Cases, 2018
Identifying effective literacy interventions for teachers of very young children is important, but it is not easy. In this case study, we share our experiences implementing a quasi-experimental evaluation of an early literacy program. We describe the design and context of the study and discuss three key issues that we encountered with data…
Descriptors: Literacy Education, Intervention, Program Effectiveness, Early Childhood Education
Rivenbark, Jessica; Cummings, Jeff; Kline, Doug; Patterson, Laurie – Information Systems Education Journal, 2020
Since the early 2000s, we have seen an increase in the need for graduates in various STEM fields. The Professional Science Master's (PSM) program was created in 2001 to address this increased demand. While research has shown the benefits these programs may provide, there is limited research examining the current state of PSM programs. The current…
Descriptors: Professional Education, Masters Degrees, Educational Benefits, Program Effectiveness
Parnell, Amelia; Jones, Darlena; Wesaw, Alexis; Brooks, D. Christopher – EDUCAUSE, 2018
As higher education institutions in the United States strive to maximize their use of resources to better support students, it is critical for professionals to make data-informed decisions. Most institutions are currently gathering an abundance of data from multiple sources, which provides a good opportunity for functional units, divisions, and…
Descriptors: College Students, Colleges, Data Analysis, Data Collection
Prasad, Vandita – ProQuest LLC, 2017
Career Technology Education (CTE) program evaluations have been mostly completed for compliance and monitoring purposes. Hence, they have limited use in establishing program effectiveness or for program improvement. Moreover, engaging in program evaluations can be time consuming and costly, especially for programs that have not been evaluated in…
Descriptors: Vocational Education, Program Evaluation, Readiness, Public Schools
Seftor, Neil – Regional Educational Laboratory, 2016
This short brief for education decision makers discusses three main factors that may contribute to a finding of no effects: failure of theory, failure of implementation, and failure of research design. It provides readers with questions to ask themselves to better understand "no effects" findings, and describes other contextual factors…
Descriptors: Research Design, Research Methodology, Program Evaluation, Program Effectiveness
Bahr, Maria – NADE Digest, 2018
The value of the National Association for Developmental Education (NADE) accreditation process is far-reaching. Not only do students and programs benefit from the process, but also the entire institution. Through data collection of student performance, analysis, and resulting action plans, faculty and administrators can work cohesively towards…
Descriptors: Accreditation (Institutions), Developmental Studies Programs, Professional Associations, Educational Benefits
Guarcello, Maureen A.; Levine, Richard A.; Beemer, Joshua; Frazee, James P.; Laumakis, Mark A.; Schellenberg, Stephen A. – Technology, Knowledge and Learning, 2017
Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…
Descriptors: Peer Teaching, Supplementary Education, College Students, Student Participation
Moltudal, Synnøve; Høydal, Kjetil; Krumsvik, Rune Johan – Designs for Learning, 2020
Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis