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The Effectiveness of Hybrid Problem-Based Learning versus Manual-Based Learning in the Microbiology Laboratory
Promising results from the use of problem-based learning (PBL) as a teaching method in medical programs have encouraged many institutions to incorporate PBL into their curricula. This study investigates how applying hybrid-PBL (H-PBL) in a microbiology laboratory impacts students' higher-order thinking as compared to applying a lecture-based pedagogy. The experimental design compared the learning outcomes of two groups of students: the control group and the H-PBL group, for whom PBL cases comprised 30% of the curriculum. Both groups were taught basic skills for the microbiology lab by the same instructor. Using the traditional teaching style for the control group, the instructor offered each student what they needed for their experiments. The H-PBL group practiced experimental design, data analysis, theory proposal, and created research questions by using six study cases that were closely linked to the area of study. The outcome was measured using a pre- and post- assessment consisting of 24 questions that was designed by following Bloom's taxonomy of learning levels. A one-way ANOVA was used to analyze the data. The results showed that for the first three levels of Bloom's taxonomy— knowledge, comprehension, and application—there were no statistically significant differences between the H-PBL and control group gain scores as determined by a one-way ANOVA. For the knowledge level, f (1, 78) = .232, and p = .632; for the comprehension level, f (1, 78) = .004, and p = .951; and for the application level f (1, 78) =. 028, and p =.863. On the other hand, the gain scores for the three higher levels—analysis, evaluation, and creativity—improved for the H-PBL group. The analysis level showed statistically significant differences, with f (1, 78) = 4.012, and p = .049. Also, there were statistically significant differences in students' performance at the evaluation level, with f (1, 78) = 11.495, …
Applications of GIS and Remote Sensing for the Characterization of Habitat for Threatened and Endangered Species
Geographic Information Systems (GIS) and remote sensing technologies were used to identify and describe potential habitat for three species endemic to the Southwestern United States; the Golden-cheeked Warbler (Dendroica chrysoparia), the Black-capped Vireo (Vireo atricapillus), and the Texas kangaroo rat (Dipodomys elator). For each species, the computerized classification of digital satellite imagery was integrated with ancillary spatial information (e.g. soils, geology, and land use) to construct a data base to be used for ecological evaluation as well as habitat protection and management measures.
The Life History and Ecology of Camelobaetidius Mexicanus (Ephemeroptera: Baetidae) from Honey Creek, Oklahoma
The primary objective of this study is to describe the life history of Camelobaetidius mexicanus living in Honey Creek in south central Oklahoma. Specific objectives were to determine emergence phenology and behavior, describe nupital flight and female oviposition, measure subimaginal and imaginal life spans, examine egg morphology and time to hatching, describe larval microdistribution, analyze gut contents and to determine voltinism from nymphal head capsule widths and adult emergence.
The Tarrant County Atlas for Planning: A Geographic Information System for Open Space Design
This project demonstrates the construction of a land planning geographic information system (GIS) for Tarrant County, and explores how the technology could be used to select sites for a county wide open space preservation plan. As Texas' Tarrant County continues to undergo rapid change due to growth and expansion, the need for proactive, resourceful community planning is greater than ever. One crucial issue facing the region is how to preserve open areas that serve the county's citizens' ecological, recreational, cultural and economic needs. In order to assess how much open space is needed and which sites should be considered for special attention, large amounts of varied spatial information must be analyzed. The answer to effectively dealing with such data sets is a geographic information system (GIS) that stores all pertinent data digitally and allows for its manipulation through use of a computer software package. This project demonstrates the construction of a land planning GIS for Tarrant County, and explores how the technology could be used to select sites for a county wide open space preservation plan.
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