Urban High School Student Engagement Through CincySTEM iTEST Projects

Journal of Science Education and Technology - This paper focuses on the notable heightening of underrepresented students’ engagement in STEM education through project-based learning CincySTEM...     

Formulation of the DETECT Population Parameter and Evaluation of DETECT Estimator Bias

The development of the DETECT procedure marked an important advancement in nonparametric dimensionality analysis. DETECT is the first nonparametric technique to estimate the number of dimensions in a data set, estimate an effect size for multidimensionality, and identify which dimension is predominantly measured by each item. The efficacy of DETECT critically depends on accurate, minimally biased estimation of the expected conditional covariances of all the item pairs. However, the amount of bias in the DETECT estimator has been studied only in a few simulated unidimensional data sets. This is because the value of the DETECT population parameter is known to be zero for this case and has been unknown for cases when multidimensionality is present. In this article, integral formulas for the DETECT population parameter are derived for the most commonly used parametric multidimensional item response theory model, the Reckase and McKinley model. These formulas are then used to evaluate the bias in DETECT by positing a multidimensional model, simulating data from the model using a very large sample size (to eliminate random error), calculating the large-sample DETECT statistic, and finally calculating the DETECT population parameter to compare with the large-sample statistic. A wide variety of two- and three-dimensional models, including both simple structure and approximate simple structure, were investigated. The results indicated that DETECT does exhibit statistical bias in the large-sample estimation of the item-pair conditional covariances; but, for the simulated tests that had 20 or more items, the bias was small enough to result in the large-sample DETECT almost always correctly partitioning the items and the DETECT effect size estimator exhibiting negligible bias.     

Learning to Count: Structured Practice With Spatial Cues Supports the Development of Counting Sequence Knowledge in 3-Year-Old English-Speaking Children

Research Findings: Children who speak English are slower to learn the counting sequence between 11 and 20 compared to children who speak Asian languages. In the present research, we examined whether providing children with spatially relevant information during counting would facilitate their acquisition of the counting sequence. Three-year-olds (n = 54) who played a 1–20 number board game in which numbers were grouped by decade into 2 rows learned significantly more of the counting sequence than children who played a linear version of the game or those who were in the control group. Both the row and linear versions of the game helped children improve their performance on an object counting task. Children’s performance on a number line task did not show an effect of either game intervention. Practice or Policy: These results suggest that counting practice that includes spatially informative cues can facilitate young English-speaking children’s learning of the challenging number sequence from 11 to 20.     

A Qualitative Examination of Science Teachers’ Emotions,Emotion Regulation Goals and Strategies

Research in Science Education - The purpose of the study was to examine science teachers’ emotions, emotion regulation goals and strategies during instruction, and the role of teaching...     

Human lung-on-chips: Advanced systems for respiratory virus models and assessment of immune response

Respiratory viral infections are leading causes of death worldwide. A number of human respiratory viruses circulate in all age groups and adapt to person-to-person transmission. It is vital to understand how these viruses infect the host and how the host responds to prevent infection and onset of disease. Although animal models have been widely used to study disease states, incisive arguments related to poor prediction of patient responses have led to the development of microfluidic organ-on-chip models, which aim to recapitulate organ-level physiology. Over the past decade, human lung chips have been shown to mimic many aspects of the lung function and its complex microenvironment. In this review, we address immunological responses to viral infections and elaborate on human lung airway and alveolus chips reported to model respiratory viral infections and therapeutic interventions. Advances in the field will expedite the development of therapeutics and vaccines for human welfare.     

Changes in Chinese education under globalisation and market economy: emerging issues and debates

Fuelled by forces of globalisation, China has gradually shifted from a centrally planned economy to the ‘socialist market economy’. This study examines changes in Chinese education under globalisation and market economy, focusing on the teaching and living conditions of teachers. The study reveals that the profound transformation of social and economic life has resulted in significant changes to education in China, as manifested in curriculum reform, increased disparity between rural and urban education, marginalisation of minority education and lack of accessible and affordable education for the children of migrant workers. The recent changes have also had tremendous impact on teachers in terms of their workload, payment, wellbeing, social status and teaching and living conditions. The study contextualises the concept of globalisation by examining its impact on China through marketisation and privatisation. Its analysis demonstrates a withdrawal of the state from provision and financing of public education. It also reveals a number of social injustices and inequities whose reduction and elimination require the Chinese government to take immediate and active measures.