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Quality of instruction and classroom learning outcomes: The German contribution to the IEA classroom environment study
Institution:1. Department of Anaesthesiology, Ludwig-Maximilians University, Munich 81825, Germany;2. Department of Anaethesiology and Intensive Care Medicine, Klinikum St Elisabeth Straubing, Germany;1. Centro Aplicaciones Tecnológicas y Desarrollo Nuclear, Calle 30 No 502, Miramar, Playa, La Habana AP6122, Cuba;2. Instituto Superior de Tecnologías y Ciencias Aplicadas, Quinta de los Molinos, Ave. Salvador Allende Plaza de la Revolución, La Habana, Cuba;1. Department of Radiology, University Medical Center Utrecht, Room E01.132, Heidelberglaan 100, 3508 GA, Utrecht, The Netherlands;2. Department of Education, Utrecht University, Utrecht, The Netherlands;3. Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands;4. Department of Anatomy, University Medical Center Utrecht, Utrecht, The Netherlands;5. Center for Research and Development of Education, University Medical Center Utrecht, Utrecht, The Netherlands;1. Greenwood Institute of Child Health, University of Leicester, Leicester LE3 0QU, UK;2. Chantler Simulation and Interactive Learning Centre, King''s College London School of Medical Education, London, UK;3. Department of Psychology, University of Bedfordshire, Luton, UK;1. Center for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, CA 94551, United States;2. Biology and Biotechnology Division, Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, CA 94551, United States
Abstract:Results of the German contribution to the Classroom Environment Study: Teaching for Learning are presented. The study explored instructional quality and classroom management factors as predictors of student cognitive and affective outcomes. Classrroms (N=39) were observed nine times with a low-inference observation instrument. Individual data on students' cognitive and affective characteristics, students' perceptions of instruction, self-reported attention, and observed time-on-task were aggregated, and the classroom was the unit of analysis. The data were analyzed with zero-order process-process and process-product correlations, multilevel analysis, communality analysis, and, as the focus of the study, causal modeling with the PLS (Partial Least Squares) technique. The causal model included, as latent variables, students' cognitive and affective entry characteristics, observed efficiency of management and quality of instruction, the student perceptions of these, students' observed time-on-task and self-reported attention, and affective and cognitive outcomes. As expected, student entry characteristics were of greatest importance for both affective and cognitive outcomes. A pattern of direct-instruction variables indicating efficient management, intensive use of time, and strong task orientation was positively related to student engagement and cognitive outcomes. Methodological questions associated with the multilevel character of the data and possible reasons for some unexpected results, for example, the nonsignificant role of instructional quality and of student engagement for cognitive outcomes, are discussed.
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