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Adelia U. Kim – ProQuest LLC, 2022
This quantitative causal-comparative study investigated the growth performance scores of English learners in grades three through five in reading, mathematics, and science in four English language educational programs: English as Second Language (ESL), Transitional Bilingual Education (TBE), Dual-Language Immersion (DLI), and No Services. I used…
Descriptors: Program Effectiveness, English Language Learners, Performance, Comparative Analysis
Wong, Manyee; Cook, Thomas D.; Steiner, Peter M. – Journal of Research on Educational Effectiveness, 2015
Some form of a short interrupted time series (ITS) is often used to evaluate state and national programs. An ITS design with a single treatment group assumes that the pretest functional form can be validly estimated and extrapolated into the postintervention period where it provides a valid counterfactual. This assumption is problematic. Ambiguous…
Descriptors: Evaluation Methods, Time, Federal Legislation, Educational Legislation
Laughlin, Sara Rose – ProQuest LLC, 2013
Inspiring and motivating students to pursue science, technology, engineering, and mathematics education continues to be an important educational focus in the United States. Robotics programs are one strategy developed to accomplish this goal. This causal comparative study focused on investigating whether a causal relationship exists between…
Descriptors: Robotics, Mathematics Instruction, Comparative Analysis, Causal Models
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection