Effectiveness of a satellite educational television program for Ethiopian secondary education

This study examined the actual practice and effectiveness of a satellite educational TV program in Ethiopian secondary schools. Participants in the survey were 228 students and 63 teachers from secondary schools. The results of the data analysis indicate that Ethiopian students and teachers scored highly in the evaluation areas. Levels of students’ general satisfaction with the satellite educational TV program were not equal for the variables of location and gender. It was also found that for students, learning demand, learning content, and class management were factors affecting their satisfaction with the satellite educational TV programs. For teachers, learning content and class management were the factors. The statistical mean difference in the satisfaction with the satellite educational TV program was between students and teachers. These findings suggest that the satellite educational TV program has the possibility of improving the quality of education in Ethiopian secondary schools.     

Government support for SME innovations in the regional industries: The case of government financial support program in South Korea

This study explores the impact of governmental support policies on the innovation of SMEs in the regional strategic industries in South Korea. We use the technological development assistance funds as a proxy for governmental support policies for SMEs in the regional industries in Korea. The innovation of SMEs is measured by technological innovation: patent, utility model, trademark, and new design registrations. Before empirically testing the impact of governmental support policies on the innovation of SMEs, this study reviews the literature concerning the innovation and the governmental support policies of SMEs in regional industries. Results from empirical models, which simultaneously control for factors which were thought to affect the innovation of regional SMEs, indicate that a positive relationship exists among the technological development assistance by the Korean government and patent acquisitions and new design registrations of regional SMEs. Networks with universities also have a positive relationship with patent acquisitions and new design registrations of regional SMEs. This study suggests there is an importance to governmental financial aids for regional SME innovations, and there is an importance to the need to build a strong social relationship in today's networked economy.     

Optofluidic microvalve-on-a-chip with a surface plasmon-enhanced fiber optic microheater

We present an optofluidic microvalve utilizing an embedded, surface plasmon-enhanced fiber optic microheater. The fiber optic microheater is formed by depositing a titanium thin film on the roughened end-face of a silica optical fiber that serves as a waveguide to deliver laser light to the titanium film. The nanoscale roughness at the titanium-silica interface enables strong light absorption enhancement in the titanium film through excitation of localized surface plasmons as well as facilitates bubble nucleation. Our experimental results show that due to the unique design of the fiber optic heater, the threshold laser power required to generate a bubble is greatly reduced and the bubble growth rate is significantly increased. By using the microvalve, stable vapor bubble generation in the microchannel is demonstrated, which does not require complex optical focusing and alignment. The generated vapor bubble is shown to successfully block a liquid flow channel with a size of 125 μm × 125 μm and a flow rate of ∼10 μl/min at ∼120 mW laser power.     

Distributed fusion receding horizon filtering for uncertain linear stochastic systems with time-delay sensors

A new distributed fusion receding horizon filtering problem is investigated for uncertain linear stochastic systems with time-delay sensors. First, we construct a local receding horizon Kalman filter having time delays (LRHKFTDs) in both the system and measurement models. The key technique is the derivation of recursive error cross-covariance equations between LRHKFTDs in order to compute the optimal matrix fusion weights. It is the first time to present distributed fusion receding horizon filter for linear discrete-time systems with delayed sensors. It has a parallel structure that enables processing of multisensory time-delay measurements, so the calculation burden can be reduced and it is more reliable than the centralized version if some sensors turn faulty. Simulations for a multiple time-delays system show the effectiveness of the proposed filter in comparison with centralized receding horizon filter and non-receding versions.     

Integrated Reading and Writing Interventions for Students with Learning Disabilities: A Review of the Literature

In this systematic review of literature that spans 1975–2015, integrated reading and writing interventions for students with learning disabilities (LD) or students with academic difficulties were evaluated to understand the extant research, identify encouraging practices, and guide future research. Ten studies met inclusion criteria and each study was evaluated according to the relevant What Works Clearinghouse (WWC) design standards. Eight of the 10 investigations were conducted with students in grades 4–8. While only 4 of the 10 studies met WWC design with or without reservations, results from these studies are encouraging. Study findings suggest several areas for immediate future research relating to methodological and treatment variables and considerations for classroom instruction in order to respond to advanced expectations for the successful integration of reading and writing across subjects. In addition to employing stronger experimental designs and additional replications of encouraging studies, future research should explore the utility of integrated reading and writing interventions with secondary students with who have academic difficulties.     

Measurement Invariance Testing with Many Groups: A Comparison of Five Approaches

With the increasing use of international survey data especially in cross-cultural and multinational studies, establishing measurement invariance (MI) across a large number of groups in a study is essential. Testing MI over many groups is methodologically challenging, however. We identified 5 methods for MI testing across many groups (multiple group confirmatory factor analysis, multilevel confirmatory factor analysis, multilevel factor mixture modeling, Bayesian approximate MI testing, and alignment optimization) and explicated the similarities and differences of these approaches in terms of their conceptual models and statistical procedures. A Monte Carlo study was conducted to investigate the efficacy of the 5 methods in detecting measurement noninvariance across many groups using various fit criteria. Generally, the 5 methods showed reasonable performance in identifying the level of invariance if an appropriate fit criterion was used (e.g., Bayesian information criteron with multilevel factor mixture modeling). Finally, general guidelines in selecting an appropriate method are provided.     

Doing good while performing well at Flemish universities: benchmarking higher education institutions in terms of social inclusion and market performance

Universities, and higher education institutions in general, are ever more influenced by output-driven performance indicators and models that originally stem from the profit-organisational context. As a result, universities are increasingly considering management tools that support them in the (decision) process for attaining their strategic goals. The growth-share matrix is one of these tools that has proven its value in diverse business and competitive contexts in the past few decades. The present study’s contribution is twofold. First, we apply and interpret the growth-share matrix as part of a strategic positioning analysis in a strategic university context. Second, we extend this tool by incorporating social inclusion as a third dimension in the analysis. In recent years, discussions on the rising social disparity among adolescents in higher education have increased and different types of actors have raised the motivation to create more equal opportunities for prospective students who rank among the group of socially disadvantaged adolescents. The findings of an empirical case of the proposed model for a particular Belgian academic programme show that increased social inclusion and higher performance parameters, such as growth in student enrolments and diplomas, can be reached simultaneously.