Looking back at “our science” and “our history”: an exploration of Korean preservice science teachers’ encounters with East Asian history of science

Cultural Studies of Science Education - Despite the long-standing interest among science educators in using history of science in science teaching, little has been discussed around whether and how...     

Trends in Autism Research: A Systematic Journal Analysis

Autism Spectrum Disorder (ASD) is a lifelong disability for which prevalence rates continue to increase. Persons with ASD vary widely in both severity of disability and services required. Therefore it is important to identify trends in research and evaluate progress in the field. The current study uses a journal analysis to evaluate research over a 12 year period in three prominent autism focused research journals: Focus on Autism and Other Developmental Disabilities, Autism: The International Journal of Research and Practice, and Journal of Autism and Developmental Disorders. Findings include identification of trends in research designs, sample characteristics, and interventions.     

Pushbutton-activated microfluidic cartridge as a user-friendly sample preparation tool for diagnostics

Microfluidic technologies have several advantages in sample preparation for diagnostics but suffer from the need for an external operation system that hampers user-friendliness. To overcome this limitation in microfluidic technologies, a number of user-friendly methods utilizing capillary force, degassed poly(dimethylsiloxane), pushbutton-driven pressure, a syringe, or a pipette have been reported. Among these methods, the pushbutton-driven, pressure-based method has a great potential to be widely used as a user-friendly sample preparation tool for point-of-care testing or portable diagnostics. In this Perspective, we focus on the pushbutton-activated microfluidic technologies toward a user-friendly sample preparation tool. The working principle and recent advances in pushbutton-activated microfluidic technologies are briefly reviewed, and future perspectives for wide application are discussed in terms of integration with the signal analysis system, user-dependent variation, and universal and facile use.     

Affective and motivational factors of learning in online mathematics courses

We investigated what factors would be related to students' achievement in mathematics courses offered at a virtual high school. This was an attempt to understand why some succeed and some do not as well as to suggest what should be done to help with student success. Seventy‐two students responded to a self‐report survey on motivation (ie, self‐efficacy, intrinsic value), mathematics achievement emotions (ie, anxiety, anger, shame, hopelessness, boredom, enjoyment, pride), and cognitive processes (ie, cognitive strategy use, self‐regulation). A three‐step hierarchical multivariate regression was employed to examine which of the factors predict student achievement. Results showed that motivation accounted for approximately 13% of the variance in student achievement and self‐efficacy was the significant individual predictor of student achievement. However, when achievement emotions were added to the analysis, self‐efficacy failed to predict student achievement and emotions accounted for 37% of the variance in student achievement. Cognitive strategy use and self‐regulation did not explain any additional variance in the final scores. Findings are discussed and implications for future research and development are also suggested.     

The relationship between university student learning outcomes and participation in social network services,social acceptance and attitude towards school life

Educators try to use social network services (SNSs) in their teaching because they are regarded as beneficial to student learning. However, little research to date has empirically investigated whether the use of an SNS increases university student learning outcomes. A total of 730 university students in the capital area of South Korea participated in the present study. Based on social learning theory, we developed a general structural model that included SNS participation (SP) as an exogenous variable and a range of endogenous variables: cognitive domain learning outcomes, affective domain learning outcomes, social domain learning outcomes, social acceptance (SA) and attitude towards university life (AT). The study results confirmed that the model adequately explained causal relationships between student learning outcomes and SA, AT and SP. SA was identified as a key variable because of its direct effect on learning outcomes. However, SP was considered more important because of its large indirect effects on all learning outcomes through both SA and AT.     

The effects of childhood abuse on symptom complexity in a clinical sample: Mediating effects of emotion regulation difficulties

The purpose of the present study was to first examine whether childhood abuse predicts symptom complexity, as indicated by the number of clinically elevated scales on the MMPI-2 in an adult clinical sample. Secondly, we investigated whether emotion regulation difficulties mediated the relationship between childhood abuse and symptom complexity. A total of 162 adult outpatients not presenting with psychotic symptoms completed the Korean Childhood Trauma Questionnaire (K-CTQ), Life Events Checklist (LEC), Difficulties in Emotion Regulation Scale (DERS), and Korean Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Partial correlation analysis results indicated that after controlling for the presence of adulthood trauma, childhood abuse was associated with more symptom complexity, or more clinically elevated scales on the MMPI-2. Furthermore, structural equation modeling results showed that emotion regulation difficulties partially mediated the relationship between childhood abuse and symptom complexity. These findings indicate that individuals who had experienced childhood abuse evidence simultaneous presentation of diverse clinical symptoms.     

Exploring Preservice Elementary Teachers’ Understanding of the Essential Features of Inquiry-Based Science Teaching Using Evidence-Based Reflection

This study explored preservice elementary teachers' and their mentors' understanding of the essential features of inquiry-based teaching through the use of evidence-based reflection. The web-based video analysis tool (VAT) system was used to support preservice teachers' and mentors' evidence-based reflection during field experiences. Major data sources included VAT reflections and individual interviews. Data analysis indicated that the preservice teachers had been involved in various activities designed to support their understanding of inquiry features in a science methods class; they did not implement all of the features in their actual teaching. Both preservice teachers and mentors had difficulty connecting appropriate inquiry features to each teaching episode, which indicates their lack of understanding of inquiry. Both the preservice teachers and mentors had different levels of understanding for each feature. That is, they tended to understand certain features better than others. They interpreted each feature of inquiry-based science teaching too broadly. They also either had a teacher-centered view or tended to focus on issues unrelated to science teaching.     

Online Media Relations as an Information Subsidy: Quality of Fortune 500 Companies' Websites and Relationships to Media Salience

This study probes relationships among corporate financial resources, web-based corporate media relations, and media attention to corporations to determine whether online media relations functions as an effective information subsidy in the agenda-building process. It compares the quality of online press rooms of Fortune 500 companies with the number of news articles about those same companies published by five major news outlets in the United States. A causal model was supported predicting that resource-rich companies have better-operating online newsrooms with more diverse informational and interactive components, which in turn generate more news stories about the companies. This result suggests that the effectiveness of corporate Web activities depends on financial and professional resources and contradicts earlier expectations that the dominance of resource-rich organizations in communication would be undermined by the Internet.     

Less conservative stabilization conditions for Markovian jump systems with partly unknown transition probabilities

This paper is devoted to the robust stabilization problem for a class of MJLSs with mode transition probabilities taken to be partly known, unknown, and unknown but with known bounds. To meet the needs of less conservative stabilization conditions, this paper proposes a valuable approach that (1) can express the conditions in terms of matrix inequalities with homogeneous polynomial dependence on partly unknown transition probabilities and (2) can include all possible slack variables related to transition probability constraints in the relaxation process coupled with deriving a finite set of linear matrix inequalities (LMIs). Finally, two numerical examples are reported to illustrate the effectiveness of the derived stabilization conditions.     

Adaptive synchronization for a class of faulty and sampling coupled networks with its circuit implement

This paper is concerned with the asymptotic synchronization problem of a class of nonlinear complex networks with faulty and sampling couplings. A new version of the adaptive control strategy is proposed to adjust control parameters to compensate for the adverse impact of network attenuation faults, nonlinearities and sampling errors. Based on the adaptive adjustment laws, an approach that is application of knowledge of electricity is introduced to physically realize the adaptive controllers. Using Lyapunov stability theory for the synchronization error system, asymptotic synchronization of the overall networks can be established for the nonlinearly sampling and faulty couplings. Finally, the proposed adaptive control schemes are tested by simulation on Chua?s circuit network.