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Zhang, Tan; Wang, Yubing; Yli-Piipari, Sami; Chen, Ang – Research Quarterly for Exercise and Sport, 2021
Purpose: It is argued that the constructivist physical education has the potential to overcome socioeconomic (SES) constraints and promote learning. The purpose of this study was to determine the extent to which school SES-related class environmental factors influenced student learning in a constructivist physical education context. Methods:…
Descriptors: Physical Education, Constructivism (Learning), Prior Learning, Socioeconomic Status
Greene Nolan, Hillary; Vang, Mai Chou – Digital Promise, 2023
Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…
Descriptors: Middle School Students, Grade 7, Grade 8, Predictor Variables
Aslantas, Ismail – Education Sciences, 2020
It is widely believed that the teacher is one of the most important factors influencing a student's success at school. In many countries, teachers' salaries and promotion prospects are determined by their students' performance. Value-added models (VAMs) are increasingly used to measure teacher effectiveness to reward or penalize teachers. The aim…
Descriptors: Context Effect, Predictor Variables, Value Added Models, Teacher Effectiveness
Chang, Hsin-Yi; Liang, Jyh-Chong; Tsai, Chin-Chung – Journal of Science Education and Technology, 2020
We engaged 47 eighth-grade students in a newly developed learning environment that integrates mobile augmented reality (AR) technology to support students' learning of nuclear energy use and radiation pollution, a topic related to a socioscientific issue (SSI) that involves complex reasoning considering scientific evidence and multiple…
Descriptors: Middle School Students, Grade 8, Handheld Devices, Computer Simulation
Liang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning
Tarchi, Christian – Reading Psychology, 2017
This study explored the differential contribution of cognitive and motivational factors on the comprehension of an expository text in secondary school students. One hundred and fifty-five 7th and 8th grade students were assessed in prior knowledge, inferences, metacognition, reading motivation, topic interest, and reading comprehension of history…
Descriptors: Expository Writing, Secondary School Students, Prior Learning, Grade 7
Jensen, Jennifer – ProQuest LLC, 2014
This study sought to determine if there is a relationship between students' scores on the eighth-grade Indiana State Test of Education Progress Plus (ISTEP+) exam and success on Indiana's Algebra End-of-Course Assessment (ECA). Additionally, it sought to determine if algebra success could be significantly predicted by the achievement in one or…
Descriptors: Standardized Tests, Prior Learning, Mathematics Achievement, Algebra
Arya, Diana J.; Maul, Andrew – Journal of Educational Psychology, 2012
In an experimental study (N = 209), the authors compared the effects of exposure to typical middle-school written science content when presented in the context of the scientific discovery narrative and when presented in a more traditional nonnarrative format on 7th and 8th grade students in the United States. The development of texts was…
Descriptors: Outcome Measures, Science Instruction, Predictor Variables, Grade 8
Awabdy, Graziella Whipple – ProQuest LLC, 2012
An investigation of the relationship between background knowledge and reading comprehension performance on standardized reading tests (the California STAR Test) was conducted with sixth, seventh, and eighth-grade ethnic minority children from low-income backgrounds (N = 68). Predictor variables examined included perceived background knowledge…
Descriptors: Standardized Tests, Reading Tests, Reading Comprehension, Prior Learning
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Ayse Yenilmez; Semra Sungur; Ceren Tekkaya – Research in Science & Technological Education, 2006
This study investigated students' achievement regarding photosynthesis and respiration in plants in relation to reasoning ability, prior knowledge and gender. A total of 117 eighth-grade students participated in the study. Test of logical thinking and the two-tier multiple choice tests were administered to determine students' reasoning ability and…
Descriptors: Prior Learning, Statistical Analysis, Logical Thinking, Predictor Variables
Ziegler, Albert; Finsterwald, Monika; Grassinger, Robert – Gifted Child Quarterly, 2005
In mathematics, physics, and chemistry, women are still considered to be at a disadvantage. In the present study, the development of the symptoms of learned helplessness was of particular interest. A study involving average and mildly gifted 8th-grade boys and girls (top 60%) investigated whether girls, regardless of ability level, experience…
Descriptors: Predictor Variables, Helplessness, Academically Gifted, Physics
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries