Group items tagged

"This paper describes the implementation of a quantitative cost effectiveness analyzer for Web-supported academic instruction that was developed in Tel Aviv University during a long term study. The paper presents the cost effectiveness analysis of Tel Aviv University campus. Cost and benefit of 3,453 courses were analyzed, exemplifying campus-wide analysis. These courses represent large-scale Web-supported academic instruction processes throughout the campus. The findings were described, referring to students, instructors and university from both the economical and educational perspectives. The cost effectiveness values resulting from the calculations were summarized in four "coins" (efficiency coins=$; quality coins; affective coins; and knowledge management coins) for each of the three actors (students, instructors and university). In order to examine the distribution of those values throughout the campus assessment scales were created on the basis of descriptive statistics. The described analyzer can be implemented in other institutions very easily and almost automatically. This enables us to quantify the costs and benefits of Web-supported instruction on both the single-course and the campus-wide levels. "

"If we think of OERs as we think of physical artifacts, we might focus on their design, production, storage and distribution. We could quantify their number, calculate their popularity, and track their use. However, in open, distributed, networked learning environments, the emphasis is not be on the resources but on the engagement between participants who create, use, modify, and share experiences."

"A total of 125 students taking a first year seminar course for pre-health professional majors participated in this study (70 in the experimental group and 55 in the control group). With the experimental group, Twitter was used for various types of academic and co-curricular discussions. Engagement was quantified by using a 19-item scale based on the National Survey of Student Engagement. To assess differences in engagement and grades, we used mixed effects analysis of variance (ANOVA) models, with class sections nested within treatment groups. We also conducted content analyses of samples of Twitter exchanges. The ANOVA results showed that the experimental group had a significantly greater increase in engagement than the control group, as well as higher semester grade point averages. Analyses of Twitter communications showed that students and faculty were both highly engaged in the learning process in ways that transcended traditional classroom activities."

"The Impact Calculator can be used to demonstrate the impact of records and information management by quantifying the tangible benefits or efficiency gains that can be derived from it."