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Townsley, Matt; Wear, Nathan L. – Solution Tree, 2020
Maximize learning by making grades more meaningful and motivating to students. With the support of this practical guide, professional learning communities (PLCs) will discover a clear road map for implementing a standards-based grading system at the secondary level. The authors provide all of the actionable ideas and tools needed to not only…
Descriptors: Grades (Scholastic), Grading, Communities of Practice, Secondary School Students
Hosseini, Hamed Mohammad; Ejtehadi, Atena; Hosseini, Milad Mohammad – Language Teaching Research Quarterly, 2020
The potential benefit of employing a flipped learning approach, where learners are presented with the content preceding the class time, is to make a shift from traditional teacher-centered learning environments to more learner- and learning-centered ones. As this content delivery should be short, small, fine, and powerful, 'microlearning' as a new…
Descriptors: Blended Learning, English (Second Language), Second Language Learning, Self Control
Nakagawa, Hiroyo; Leung, Ambrose – International Journal of Instruction, 2020
The current study aims to examine the effects of implicit learning on Japanese EFL junior college students' writing. The concept of written corrective feedback (WCF) has continued to receive much attention in second language acquisition research. Although most researchers have been supportive of explicit WCF for the development of accuracy, others…
Descriptors: College Students, Writing Instruction, Error Correction, Concept Mapping
Norton, Stephen; Zhang, Qingiong – International Journal for Mathematics Teaching and Learning, 2013
Over the past decade it has been frequently reported that East Asian students are outperforming their Western counterparts in international tests of mathematics at middle-school level. This paper probes classroom discourse in an attempt to shed some light on this phenomenon. Data were collected from a sample of Chinese Year 8 students in a normal…
Descriptors: Foreign Countries, Mathematics Instruction, Learner Engagement, Grade 8
Xu, Jianzhong – Learning and Individual Differences, 2010
The purpose of this study is to test empirical models of variables posited to predict homework time management at the secondary school level. Student- and class-level predictors of homework time management were analyzed in a survey of 1895 students from 111 classes. Most of the variance in homework time management occurred at the student level,…
Descriptors: Homework, Time Management, Parent Background, Educational Attainment
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education

Cool, Valerie A.; Keith, Timothy Z. – Contemporary Educational Psychology, 1991
The extent of the direct and indirect influence of quality of instruction, motivation, quantity of academic coursework, and homework on academic achievement was investigated using path analysis. Data from the High School and Beyond Study of 28,051 high school seniors were used. (SLD)
Descriptors: Academic Achievement, Comparative Analysis, Courses, Educational Quality
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