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Showing all 8 results Save | Export
Jiaqi Jackie Shi – ProQuest LLC, 2024
One of the many impacts of the COVID-19 pandemic has been the increasing prevalence and accessibility of online education. This trend has also introduced challenges for students, instructors, and institutions. This study examines factors affecting online course satisfaction, focusing on individual, instructor, and institutional level…
Descriptors: Prediction, Online Courses, Higher Education, Student Attitudes
Yang, Chunyan; Bear, George G.; May, Henry – School Psychology Review, 2018
The concurrent associations between students' perceptions of cognitive-behavioral and emotional engagement in schools and three factors aligning with the major aims of the school-wide social-emotional learning (SEL) approach (i.e., teacher-student relationships, student-student relationships, and teaching of social and emotional competencies) were…
Descriptors: Learner Engagement, Elementary Schools, Middle Schools, High Schools
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Fernex, Alain; Lima, Laurent; de Vries, Erica – Higher Education: The International Journal of Higher Education and Educational Planning, 2015
The purpose of this article is to study how students allocate time to different university and extra-university activities and to identify factors that might explain variability both between and within fields of study. At the heart of this exercise is the question of the time students dedicate to academic activities in competition with a whole…
Descriptors: Time Management, Time Factors (Learning), Study Habits, Learning Activities
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Chu, Man-Wai; Babenko, Oksana; Cui, Ying; Leighton, Jacqueline P. – International Journal of Testing, 2014
The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…
Descriptors: Hierarchical Linear Modeling, Secondary School Students, Student Attitudes, Educational Environment
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Pfenninger, Simone E. – Studies in Second Language Learning and Teaching, 2017
The main goal of this paper is to analyze how the age factor behaves as an alleged individual difference (ID) variable in SLA by focusing on the influence that the learning context exerts on the dynamics of age of onset (AO). The results of several long-term classroom studies on age effects will be presented, in which I have empirically analyzed…
Descriptors: Age Differences, Individual Differences, Context Effect, Hierarchical Linear Modeling
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Wang, Ze; Osterlind, Steven J.; Bergin, David A. – International Journal of Science and Mathematics Education, 2012
Using the Trends in International Mathematics and Science Study 2003 data, this study built mathematics achievement models of 8th graders in four countries: the USA, Russia, Singapore and South Africa. These 4 countries represent the full spectrum of mathematics achievement. In addition, they represent 4 continents, and they include 2 countries…
Descriptors: Mathematics Achievement, Models, Mathematics Tests, Grade 8
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Lam, Terence Yuk Ping; Lau, Kwok Chi – International Journal of Science Education, 2014
This study uses hierarchical linear modeling to examine the influence of a range of factors on the science performances of Hong Kong students in PISA 2006. Hong Kong has been consistently ranked highly in international science assessments, such as Programme for International Student Assessment and Trends in International Mathematics and Science…
Descriptors: Foreign Countries, Science Achievement, Hierarchical Linear Modeling, Science Education
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Cho, Mee-Ok; Scherman, Vanessa; Gaigher, Estelle – African Journal of Research in Mathematics, Science and Technology Education, 2012
This paper reports on secondary analysis of TIMSS 2003 data, based on a sound conceptual model, aiming to explain differential science achievement in South Africa from the perspective of educational effectiveness research. The conceptual framework was developed by refining existing school effectiveness models and including factors related to…
Descriptors: Science Education, Instructional Effectiveness, Correlation, Hierarchical Linear Modeling