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Wu, Jennifer; Kraemer, Philipp – Teaching of Psychology, 2017
This project describes the results from a large enrollment introductory psychology course specially designed to improve performance of first-year students. The main objective of the project was to identify early indicators of student success to inform future teaching and promote classroom engagement. Variables representing academic preparation,…
Descriptors: College Freshmen, Introductory Courses, Psychology, Academic Achievement
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
Burley, M. A. – ProQuest LLC, 2009
Educators are being encouraged to implement new instructional designs in an era where new standards, which promote student-centered learning, are being utilized and all students are expected to be successful on standardized tests. Consequently, there is a need for further research on the effectiveness of student-centered instruction. For that…
Descriptors: Academic Achievement, Instructional Design, Constructivism (Learning), Socialization
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