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Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
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Hung, Jeng-Fung; Tsai, Chun-Yen – Journal of Baltic Science Education, 2020
Previous studies on the effectiveness of virtual laboratories for learning have shown inconsistent results over the past decade. The purpose of this research was to explore the effects of a virtual laboratory and meta-cognitive scaffolding on students' data modeling competences. A quasi-experimental design was used. Three classes of eighth graders…
Descriptors: Metacognition, Computer Simulation, Comparative Analysis, Science Laboratories
Craven, Laura M.; Trygstad, Peggy J. – Horizon Research, Inc., 2020
The 2018 NSSME+ was based on a national probability sample of schools and computer science, mathematics, and science teachers in grades K-12 in the 50 states and the District of Columbia. The sample was designed to yield national estimates of course offerings and enrollment, teacher background preparation, textbook usage, instructional techniques,…
Descriptors: Comparative Analysis, Beginning Teachers, Experienced Teachers, Mathematics Teachers
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Knowles, Jared E. – Journal of Educational Data Mining, 2015
The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…
Descriptors: Dropouts, Models, Prediction, Risk
Ye, Cheng; Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – International Educational Data Mining Society, 2015
This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…
Descriptors: Learning Activities, Learning Processes, Data Collection, Student Behavior
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Hintz, Eric G.; Hintz, Maureen L.; Lawler, M. Jeannette – Journal of Astronomy & Earth Sciences Education, 2015
As part of an effort to improve students' knowledge of constellations and bright stars in an introductory level descriptive astronomy survey course, we measured the baseline knowledge that students bring to the class and how their score evolve over the course of the semester. This baseline is needed by the broader astronomy education research…
Descriptors: Secondary School Students, Grade 9, Undergraduate Students, Nonmajors
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Jasper, Andrea D.; Taber Doughty, Teresa – Focus on Autism and Other Developmental Disabilities, 2015
This study examined the effects of delayed recording on the accuracy of data recorded by special educators serving students with high- or low-incidence disabilities. A multi-element design was used to compare the accuracy of data recorded across three conditions: (a) immediately after a student's target behavior occurred, (b) immediately after the…
Descriptors: Special Education Teachers, Special Education, Disabilities, Comparative Analysis
Lloyd, Sonya LaShawn – ProQuest LLC, 2014
Providing academic assistance to English Language Learners (ELLs) is varied and often ineffective. The purpose of this causal-comparative study was to determine if there was a relationship between 9th grade students' performance on the High School Graduation Exam (HSGE) in reading and language and the Push-in and Pull-out models of instruction.…
Descriptors: English Language Learners, Secondary School Students, Grade 9, Program Evaluation
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Isenberg, Eric; Teh, Bing-ru; Walsh, Elias – Journal of Research on Educational Effectiveness, 2015
Researchers often presume that it is better to use administrative data from grades 4 and 5 than data from grades 6 through 8 for conducting research on teacher effectiveness that uses value-added models because (1) elementary school teachers teach all subjects to their students in self-contained classrooms and (2) classrooms are more homogenous at…
Descriptors: Teacher Effectiveness, Elementary School Students, Elementary School Teachers, Academic Achievement
Guindon, John R., Sr. – ProQuest LLC, 2014
This quantitative causal comparative study looked to see if there was a relationship between childhood obesity and student achievement. Because of the many conflicting results in the research available, it was not known if there was a relationship between childhood obesity and student achievement among inner-city middle school students in a school…
Descriptors: Children, Obesity, Academic Achievement, Comparative Analysis
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Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
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Altintas, Esra; Ozdemir, Ahmet S. – Educational Sciences: Theory and Practice, 2015
This study aims to evaluate a differentiation approach that was recently developed to teach mathematics to gifted middle school students in terms of its practice by teachers by studying the effect of the approach on achievement among both gifted and non-gifted students. From mixed research methods, the study used an explanatory design. It was…
Descriptors: Academic Achievement, Teacher Attitudes, Teaching Methods, Mathematics
Southern Regional Education Board (SREB), 2014
This report details Kentucky's participation in Southern Regional Education Board (SREB) programs and services from December 2013 through November 2014. Appropriations from member states support SREB's core operations and general services. SREB leverages the long-standing commitment of member states to attract external funding for an array of…
Descriptors: Geographic Location, Regional Programs, College Readiness, Career Readiness
Southern Regional Education Board (SREB), 2014
This report provides an overview of Southern Regional Education Board (SREB) programs and services and how each member state participated in them from December 2013 through November 2014. SREB serves a wide range of education policy leaders, including governors, state legislators, executive and legislative staff, and K-12 and postsecondary agency…
Descriptors: Geographic Location, Regional Programs, College Readiness, Career Readiness
Southern Regional Education Board (SREB), 2014
This document details Tennessee's participation in Southern Regional Education Board (SREB) programs and services from December 2013 through November 2014. Each member state receives a number of general services, plus access to targeted programs funded by grants, contracts and fees. Appropriations from member states support SREB's core operations…
Descriptors: Geographic Location, Regional Programs, College Readiness, Career Readiness
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