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Melissa Lee; Chun-Wei Huang; Kelly Collins; Mingyu Feng – Grantee Submission, 2025
Math anxiety has been found to negatively correlate with math achievement, affecting students' choices to take fewer math classes and avoid math educational opportunities. Educational technology tools can ameliorate some of the negative effects of math anxiety. We examined students' math anxiety, effort in an educational technology platform, and…
Descriptors: Correlation, Mathematics Anxiety, Mathematics Achievement, Outcomes of Education
Anahid S. Modrek; Tania Lombrozo – Cognitive Science, 2024
How does the act of explaining influence learning? Prior work has studied effects of explaining through a predominantly proximal lens, measuring short-term outcomes or manipulations within lab settings. Here, we ask whether the benefits of explaining extend to academic performance over time. Specifically, does the quality and frequency of student…
Descriptors: Academic Achievement, Learning Processes, Cognitive Processes, Prediction
Zavitkovsky, Paul – Center for Urban Education Leadership, 2022
After the passage of "No Child Left Behind," and especially after Obama-era Race to the Top initiatives, rising accountability for improved achievement and widespread dissatisfaction with the instructional value of statewide test reports led many school districts to purchase computer-adaptive "interim" testing systems. A common…
Descriptors: Formative Evaluation, Outsourcing, Outcomes of Education, Equal Education
Fang, Ying; Nye, Benjamin; Pavlik, Philip; Xu, Yonghong Jade; Graesser, Arthur; Hu, Xiangen – International Educational Data Mining Society, 2017
Student persistence in online learning environments has typically been studied at the macro-level (e.g., completion of an online course, number of academic terms completed, etc.). The current examines student persistence in an adaptive learning environment, ALEKS (Assessment and LEarning in Knowledge Spaces). Specifically, the study explores the…
Descriptors: Learning Processes, Academic Persistence, Correlation, Academic Achievement
Parsons, Les – Stenhouse Publishers, 2012
Based on the most up-to-date research, "Back to Learning" presents straightforward analysis and practical guidance on confronting bullying, taming the digital universe, and changing the troublesome trend in students' entitled attitudes toward learning and grades. "Back to Learning" gives teachers the background they need to: (1) understand how the…
Descriptors: Educational Research, Bullying, Educational Technology, Student Attitudes
Salazar, Minerva Mungia – ProQuest LLC, 2013
Providing a meaningful and experiential learning environment for all students has long created a concern for alternate ways to teach students who are reportedly demonstrating non-mastery on state standardized assessments. As the benchmark for showing successful academic achievement increases, so does the need for discovering effective ways for…
Descriptors: Academic Achievement, Montessori Schools, Montessori Method, Elementary School Students
Graham, Lorraine; Bellert, Anne; Thomas, Jenny; Pegg, John – Journal of Learning Disabilities, 2007
"QuickSmart" is a basic academic skills intervention designed for persistently low-achieving students in the middle years of schooling that aims to improve the automaticity of basic skills to improve higher-order processes, such as problem solving and comprehension, as measured on standardized tests. The "QuickSmart" instructional program consists…
Descriptors: Middle School Students, Pretests Posttests, Learning Problems, Intervention
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