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Reinholz, Daniel L. – International Journal of Research in Education and Science, 2017
Being part of a cohesive learning community supports retention and success in early mathematics courses. Yet, large, unwelcoming lectures stand in opposition to this goal, isolating students and pushing them away from STEM. This paper offers a comparative analysis of three efforts to build community amongst students, all situated within a single…
Descriptors: Calculus, Mathematics Instruction, Introductory Courses, Lecture Method
Effective Practices in STEM Integration: Describing Teacher Perceptions and Instructional Method Use
Smith, Kasee L.; Rayfield, John; McKim, Billy R. – Journal of Agricultural Education, 2015
Career and Technical Education (CTE), including agricultural education, has been suggested as a platform for delivering Science, Technology, Education, and Mathematics (STEM) content in secondary classrooms (Stone, 2011). The purpose of this descriptive study was to describe agriculture teachers' perceptions and confidence levels for integrating…
Descriptors: Agricultural Education, Career Education, STEM Education, Secondary School Teachers
Sato, Brian K.; Lee, Amanda K.; Alam, Usman; Dang, Jennifer V.; Dacanay, Samantha J.; Morgado, Pedro; Pirino, Giorgia; Brunner, Jo Ellen; Castillo, Leanne A.; Chan, Valerie W.; Sandholtz, Judith H. – CBE - Life Sciences Education, 2017
Despite the ubiquity of prerequisites in undergraduate science, technology, engineering, and mathematics curricula, there has been minimal effort to assess their value in a data-driven manner. Using both quantitative and qualitative data, we examined the impact of prerequisites in the context of a microbiology lecture and lab course pairing.…
Descriptors: Mixed Methods Research, Prerequisites, Required Courses, Microbiology
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