The effects of middle-school career intervention on students’ career readiness

International Journal for Educational and Vocational Guidance - The study examines the effectiveness of a career intervention in middle schools. The intervention was organized in eight...     

Development of terminological resources for expert knowledge: a case study in mining

In this paper we outline an approach to application of ontology in knowledge management. The University of Belgrade Faculty of Mining and Geology research team has developed a terminological resource to support knowledge management in mining engineering. Mining engineering, like all other engineering disciplines, needs comprehensive, consistent and standardized definitions of terms for efficient knowledge management and interoperability among various related IT applications. This goal can best be reached by terminological resources in electronic form organized as thesauruses or ontologies. The resource used to illustrate this approach, RudOnto, is a system of ontologies developed for mining engineering and their application in mining equipment and mine safety domains. Key benefits of applying ontologies in knowledge management, aside from securing interoperability, are enhancement of browsing/searching functions, and reuse and structuring capabilities. Through export to several specific formats, RudOnto ontologies offer the possibility of generating stand-alone terminological resources or ontologies in specific sub-fields, such as mining equipment, mine safety and geostatistics.     

Student Characteristics That Predict Persistence in Community College Online Courses

Abstract

This study examined the student characteristics of learning style, locus of control, computer experience and access, and online course experience on persistence of community college students in online courses. An online survey instrument based on the Barsch Learning Style Inventory (1996 Barsch, J. 1996. Barsch learning style inventory, Novato, CA: Academic Therapy Publications.  [Google Scholar]), the Abbreviated Measure of Internal–External Locus of Control (1974), and a computer experience scale that was developed by the researchers was completed by 225 students enrolled in online courses at five Florida community colleges. Logistic regression analysis identified a three-variable model (auditory learning style, grade point average, and basic computer skills) that was significant in predicting online student success. Academic and student support interventions are suggested for community college students who may be affected by these predictors.     

Identification of a nonlinear dynamic biological model using the dominant parameter selection method

The identification of nonlinear models sometimes encounters problems because of the limited amount of available measurements in combination with a large number of uncertain model parameters to be identified. E.g., the determination of the chemical composition of a lettuce crop is a rather expensive procedure; thus the number of experimental measurements is limited. As a result, the number of parameters of the dynamic model that can be successively identified is also limited, and the subset of the parameters to be identified must be chosen in a reasonable way.Parameter estimation for an extended nonlinear three-state model for lettuce growth in greenhouses is presented in this paper. The varying structural nitrogen concentration and water contents are the new elements included in the model. The dominant parameter selection (DPS) method was used to select a suitable set of identifiable parameters. The resulting calibrated model predicts quite well the experimental data which also include observations with severe nitrogen stress.     

Examining the Relationship Between Technological Pedagogical Content Knowledge (TPACK) and Student Achievement Utilizing the Florida Value-Added Model

Utilizing a correlational research design, we sought to examine the relationship between the technological pedagogical content knowledge (TPACK) of in-service teachers and student achievement measured with each individual teacher's Value-Added Model (VAM) score. The TPACK survey results and a teacher's VAM score were also examined, separately, with respect to teacher attributes. Upon examination of VAM scores and teacher attributes, the subject area, the percentage of economically disadvantaged students at the teacher's school, and the grade level of the teacher were all significantly related to VAM scores. In addition, the TPACK survey results overall and its constructs were examined with teacher attributes. The significant relationships were gender, subject area, the number of certifications, highest degree held by the teacher, years teaching, and teaching in/out of area. The analysis showed no significant relationship between a teacher's VAM score and the TPACK survey overall or its individual constructs.     

Systematic characterization of degas-driven flow for poly(dimethylsiloxane) microfluidic devices

Degas-driven flow is a novel phenomenon used to propel fluids in poly(dimethylsiloxane) (PDMS)-based microfluidic devices without requiring any external power. This method takes advantage of the inherently high porosity and air solubility of PDMS by removing air molecules from the bulk PDMS before initiating the flow. The dynamics of degas-driven flow are dependent on the channel and device geometries and are highly sensitive to temporal parameters. These dependencies have not been fully characterized, hindering broad use of degas-driven flow as a microfluidic pumping mechanism. Here, we characterize, for the first time, the effect of various parameters on the dynamics of degas-driven flow, including channel geometry, PDMS thickness, PDMS exposure area, vacuum degassing time, and idle time at atmospheric pressure before loading. We investigate the effect of these parameters on flow velocity as well as channel fill time for the degas-driven flow process. Using our devices, we achieved reproducible flow with a standard deviation of less than 8% for flow velocity, as well as maximum flow rates of up to 3 nL∕s and mean flow rates of approximately 1-1.5 nL∕s. Parameters such as channel surface area and PDMS chip exposure area were found to have negligible impact on degas-driven flow dynamics, whereas channel cross-sectional area, degas time, PDMS thickness, and idle time were found to have a larger impact. In addition, we develop a physical model that can predict mean flow velocities within 6% of experimental values and can be used as a tool for future design of PDMS-based microfluidic devices that utilize degas-driven flow.     

THE INTERNATIONALIZATION OF HIGHER EDUCATION: A POINT OF VIEW FROM A DEVELOPING COUNTRY

This article takes a close analytical look at the internationalization of higher education, asking penetrating questions with regard to its basis, its forms, and its results. The author is particularly concerned with problems of asymmetry with regard to the educational links, particularly at higher education level, between the developed western democracies and the developing countries. Going beyond the question of brain drain, the article probes the problem of the alienation of third world academics trained in the higher education institutions of developed countries. While on the balance the author praises the results of the internationalization of higher education and, at any rate, recognizes that it is here to stay, he cautions all those involved in it be aware of who in fact gains and who loses as a result of it.