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Delucchi, Michael – Teaching Sociology, 2014
This study used a pretest-posttest design to measure student learning in undergraduate statistics. Data were derived from 185 students enrolled in six different sections of a social statistics course taught over a seven-year period by the same sociology instructor. The pretest-posttest instrument reveals statistically significant gains in…
Descriptors: Pretests Posttests, Knowledge Level, Academic Achievement, Undergraduate Students
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Kim, Yanghee; Thayne, Jeffrey – Distance Education, 2015
Although research has demonstrated that an increased rapport between instructors and learners can positively relate with increased learning gains, perhaps mediated by the positive attitudes toward the course and self-efficacy beliefs in the coursework, little has been done to test what instructional strategies might increase this rapport in online…
Descriptors: Teacher Student Relationship, Video Technology, Comparative Analysis, Interpersonal Competence
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Trumpower, David L. – Mathematical Thinking and Learning: An International Journal, 2013
Students' informal inferential reasoning (IIR) is often inconsistent with the normative logic underlying formal statistical methods such as Analysis of Variance (ANOVA), even after instruction. In two experiments reported here, student's IIR was assessed using an intuitive ANOVA task at the beginning and end of a statistics course. In both…
Descriptors: Statistical Analysis, Intuition, Inferences, Thinking Skills
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Vaughn, Brandon K.; Wang, Pei-Yu – Journal on School Educational Technology, 2009
The use of visual aids is expected to have a positive effect on students' learning. However, not all visual aids work equally well. A recent meta-analytic research which examined 42 studies has found that the use of animated visuals does not facilitate learning (Anglin, Vaez & Cunnincham, 2004). The failure of visual aids can be attributed to…
Descriptors: Visual Aids, Introductory Courses, Statistics, Instructional Design
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Metz, Anneke M. – CBE - Life Sciences Education, 2008
There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly…
Descriptors: Majors (Students), Inquiry, Active Learning, Statistical Analysis