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Educational Computing
Enhanced learning performance in the middle school classroom through increased student motivation, by the use of educational software and question-based gaming technology.
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Date: December 2006
Creator: Dorr, David L.
Description: The purpose of this research was to determine if the introduction of a competitive and collaborative computer-based gaming software system into middle school classrooms would result in improved attendance and grades, and motivate students to have a greater interest in their studies. This study was conducted over a 6 week period, with attendance and performance data being collected from 284 students. Two quantitative surveys were used to measure course interest and motivation: (a) the Course Interest Survey (CIS), and (b) the Instructional Materials Motivation Survey (IMMS). Participation in these surveys consisted of 84 students taking the CIS and 40 students taking the IMMS. The results indicated that the experimental group showed statistically better scores than the comparison group in attendance and performance. Students participating in the experimental group had significantly lower mean ranks of absenteeism compared to students in the comparison group. Results also revealed significant differences on grades. Students that were in the experimental group had significantly higher grades compared to students that were in the comparison group. Results of the CIS suggest that a statistically significant difference does not exist on Attention, Relevance, Confidence, and Satisfaction between the experimental and comparison groups. Results of the means and standard ...
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The relationship of the learning styles of high school teachers and computer use in the classroom.
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Date: August 2005
Creator: Hunnicutt, Robert Lane
Description: This study sought to determine if the dominant learning styles of high school teachers is related to the amount of time computers are used in the classroom by students. It also examined the types of software used by those teachers, and their levels of technology adoption. Subjects (N=177) were from high schools in a large urban school district. Instrumentation included the Gregorc Style Delineator, a modified version of the Snapshot Survey and the Stages of Adoption of Technology. An ANOVA showed no statistical significance between teachers with different dominant learning styles in the numbers of minutes per week that computers were utilized in their classrooms with students. A chi square test showed no statistical significance in the types of software used in the classrooms of teachers with different dominant learning styles. A chi square test showed no statistical significance in the Stages of Technology Adoption of teachers with different dominant learning styles.
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