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Arora, Puneet; Wright, Nicholas – Education Economics, 2022
Academic feedback has a direct impact on students' effort decisions and academic performance. However, the grades that are reported to students are often based on institutional or instructor preferences, with entities adopting a discrete or fine grading scale. In this study, we utilize a field experiment to assess how a Letter (LGS) or Numerical…
Descriptors: Grading, Alphabets, Numbers, Gender Differences
Kablan, Zeynel – Educational Psychology, 2016
The current study investigates the influence of manipulatives used in combination with traditional approaches to mathematics education and how varying amounts of time spent on manipulative use influence student achievement across different learning styles. Three learning environments were created that incorporated varying proportions of…
Descriptors: Manipulative Materials, Mathematics Achievement, Cognitive Style, Mathematics Instruction
Gao, Su; Wang, Jian; Zhong, Zhiyong – Compare: A Journal of Comparative and International Education, 2018
The Chinese government has implemented centralised science curriculum standards to change science teaching from a didactic to inquiry-based approach to support all students in acquiring science literacy. Framed through theoretical perspectives of inquiry-based instruction and cultural pedagogy, this study examined the influence and impact of these…
Descriptors: Science Instruction, Academic Achievement, Standards, Science Curriculum
Kaufman, Julia H.; Rita Karam; Pane, John F.; Junker, Brian W. – Journal of Mathematics Education at Teachers College, 2012
This study drew on data from a large, randomized trial of Cognitive Tutor Algebra (CTA) in high-poverty settings to investigate how mathematics curricula and classroom achievement related to teacher reports of time spent on inquiry-based and lecture-based mathematics activities. We found that teachers using the CTA curriculum reported more time on…
Descriptors: Algebra, Mathematics Curriculum, Learning Activities, Inquiry
Schwerdt, Guido; Wuppermann, Amelie C. – Education Next, 2011
In recent years, a consensus has emerged among researchers that teacher quality matters enormously for student performance. Students taught by more-effective teachers learn substantially more over the course of the year than students taught by less-effective teachers. Yet little is known about what makes for a more-effective teacher. Most research…
Descriptors: Standardized Tests, Science Achievement, Lecture Method, Teaching Methods
Schwerdt, Guido; Wuppermann, Amelie C. – Program on Education Policy and Governance, Harvard University, 2010
Recent studies conclude that teachers are important for student learning but it remains uncertain what actually determines effective teaching. This study directly peers into the black box of educational production by investigating the relationship between lecture style teaching and student achievement. Based on matched student-teacher data for the…
Descriptors: Teacher Effectiveness, Teacher Characteristics, Academic Achievement, Lecture Method
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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