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Carrianne Scheib; Catherine Snyder; Marjori Krebs – Issues in Teacher Education, 2023
This manuscript aims to answer the research question: What data are collected by teacher residency programs and a network of teacher residency programs, and how and why do faculty and NCTR staff use this data to advance both individual programs and the teacher residency model nationally? This paper explores how individual teacher residency…
Descriptors: Teacher Interns, Data Use, Models, Data Collection
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Stewart, Joshua; Joyce, Jeanette; Haines, Mckenzie; Yanoski, David; Gagnon, Douglas; Luke, Kyle; Rhoads, Christopher; Germeroth, Carrie – Regional Educational Laboratory Central, 2021
Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. The Program Evaluation Toolkit provides tools and resources to support individuals responsible for evaluating and monitoring local, state, or federal programs. The toolkit comprises eight modules that cover critical steps in program…
Descriptors: Program Evaluation, Program Effectiveness, State Programs, Federal Programs
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von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy – Prevention Science, 2023
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
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Shimmei, Machi; Matsuda, Noboru – International Educational Data Mining Society, 2023
We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…
Descriptors: Artificial Intelligence, Training, Natural Language Processing, Educational Research
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Peng, Chao-Ying Joanne; Chen, Li-Ting – Education Sciences, 2021
Due to repeated observations of an outcome behavior in N-of-1 or single-case design (SCD) intervention studies, the occurrence of missing scores is inevitable in such studies. Approximately 21% of SCD articles published in five reputable journals between 2015 and 2019 exhibited evidence of missing scores. Missing rates varied by designs, with the…
Descriptors: Intervention, Program Evaluation, Scores, Incidence
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Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2023
Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…
Descriptors: Educational Research, Data Analysis, Error of Measurement, Computation
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Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy M. – Grantee Submission, 2021
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
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Nuttaporn Lawthong; Warunee Lapanachokdee; Vorachet Saejea; Purin Thepsathit – International Journal of Educational Management, 2025
Purpose: Drawing from the equitable education fund (EEF) launching 6Qs innovation in the teacher school quality program (TSQP) for small and medium schools, this research aims to analyze the effect size of the ordinary national educational test (O-NET) scores between TSQP schools that implement 6Qs innovation and non-TSQP schools and explain the…
Descriptors: Educational Innovation, Academic Achievement, Foreign Countries, Effect Size
Dunlap, Glen; Wilson, Kelly; Strain, Phillip S.; Lee, Janice K. – Brookes Publishing Company, 2022
The premier Tier 3 intervention for the Pyramid Model, Prevent-Teach-Reinforce for Young Children (PTR-YC) is a research-proven, family-centered approach used in preschool settings nationwide to resolve persistent challenging behaviors. Now this bestselling PTR-YC guidebook is in a thoughtfully revised second edition, with enhancements and…
Descriptors: Models, Preschool Education, Behavior Change, Behavior Problems
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Shaw, Paula; Green, Pauline; Gration, Marlies; Rhodes, Christine; Sheffield, David; Stone, Julie – Australasian Journal of Educational Technology, 2020
Through this paper, we explore "unbundling," the separation of various aspects of education, resources, teaching and assessment (Ossiannilsson et al., 2015) and "rebundling," where these activities are "recombined into new configurations with little loss of functionality" (Ge et al., 2004, p. 1). We chart the…
Descriptors: Online Courses, Foreign Countries, Higher Education, Educational Technology
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Kuhn, Jonathan R.; Marsh, Shawn C.; Cotman, Chip – Child & Youth Care Forum, 2017
Background: Both observed studies and experimental studies have identified programs, practices, and treatments that are considered effective, ineffective, or harmful for juvenile offenders. Objective: Identify which dispositions were best and worse for each offense in the La Porte County, Indiana, juvenile justice database of over 8500 juvenile…
Descriptors: Juvenile Justice, Data Analysis, Outcomes of Treatment, Recidivism
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Tirol-Carmody, Kristina; Kardash, Nadia; Chang, Karin; Ecker-Lyster, Meghan – Community College Journal of Research and Practice, 2020
This paper discusses the key findings from a qualitative case study examining the implementation of an activity-based cost management model (ABC model) at a large community college. In a climate of fiscal uncertainty, the college adopted this model with the goal of improving budgetary decision-making. The paper examines faculty and administrators'…
Descriptors: Community Colleges, Educational Finance, Budgeting, Barriers
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Li, Jieyu; Huang, Chunlan; Wang, Xiuhong; Wu, Shengli – Information Research: An International Electronic Journal, 2016
Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…
Descriptors: Search Engines, Data Processing, Database Management Systems, Data
Nasrollahi, Mohammad Ali – Online Submission, 2015
Action research is a systematic approach to investigation that enables people to find effective solutions to problems they confront in their everyday lives. A significant feature is that action research lays claim to the professional development in education. Action research as any systematic inquiry conducted by teachers, administrators, and…
Descriptors: Action Research, Teacher Researchers, Models, Faculty Development
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