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Ikitde, Godwin A.; Ado, Isaac B. – Journal of Education and Practice, 2015
This study assessed students teachers' attitude towards teaching practice exercise in the faculty of Education, University of Uyo, Uyo, Akwa Ibom of Nigeria. The study was guided by three research questions and two hypotheses. The survey design was adopted for the study. A sample of 163 student teachers constituted the study. A questionnaire…
Descriptors: Foreign Countries, Student Teaching, Experiential Learning, Case Studies
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Duesing, Robert J.; Ling, Juan; Yang, Jiaqin – e-Journal of Business Education and Scholarship of Teaching, 2016
This study investigated the positive impact of a teaching practice on student learning outcomes in an online MBA program. An instructional project guideline was developed to help online students enhance their achieving required learning objectives corresponding to five categories of Bloom's Taxonomy. The course learning objectives are based on…
Descriptors: Guidelines, Online Courses, Graduate Students, Masters Programs
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Pfaff, Thomas J.; Weinberg, Aaron – Journal of Statistics Education, 2009
This article describes the design, implementation, and assessment of four hands-on activities in an introductory college statistics course. In the activities, students investigated the ideas of the central limit theorem, confidence intervals, and hypothesis testing. Five assessments were administered to the students, one at the beginning and end…
Descriptors: Intervals, Hypothesis Testing, Statistics, Teaching Methods
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