Structural aspects of controllability and Sobservability—II. digraph decomposition

The graph theoretic aspects of controllability and observability are examined and related to the tensorial formulation of Part I of the paper. Particular emphasis is given to the significance of the system digraph decomposition and the relevance of this to certain system algebraic properties of interest in control theory.     

Infant Proneness-to-Distress Temperament, Maternal Personality, and Mother-Infant Attachment: Associations and Goodness of Fit

66 mother-infant pairs were examined when the infants were 9 and 13 months. The purpose of this report was to examine relations between infant proneness-to-distress temperament, maternal personality characteristics, and mother-infant attachment. There were no main-effect relations between infant proneness-to-distress temperament as assessed at 9 months and infant attachment classification at 13 months. This was true whether security of attachment (A and C vs. B) or proposed temperament (A1-B2 vs. B3-C2) groupings of attachment classifications were examined. Infant proneness-to-distress temperament, however, was associated with maternal behavior and personality. Furthermore, security of attachment could be predicted by an interaction between maternal personality and infant proneness-to-distress. The importance of considering goodness-of-fit relations in predicting attachment security is discussed.     

‘They don't realise how hard it is’. Investigating the lived experiences of higher education students with parental responsibilities during the Covid-19 pandemic

Anecdotal reports of student parents’ challenges during the Covid-19 pandemic prompted this explorative study; investigating the lived experiences of UK student parents and the provision of Higher Education support. Data was derived from 91 online surveys, 20 follow-up interviews, and analysis of 100 university websites. This occurred during the pandemic lockdowns whenthe stresses, challenges and opportunities of balancing their simultaneous roles of parent and student were intensified due to school closures. The Double ABC-X model provided a framework for examining participant's lived experiences, and the role that Higher Education institutions could play in effecting positive coping and adaptation. Findings indicate that universities need to implement strategies to enhance support for this sector, including greater awareness of the vulnerabilities and challenges involved, more flexibility and adaptability in the university ethos, formal and informal policies and structures to provide more effective support and advice for juggling these simultaneous demands.     

Diagnosing Students’ Understanding of the Nature of Models

Students’ understanding of models in science has been subject to a number of investigations. The instruments the researchers used are suitable for educational research but, due to their complexity, cannot be employed directly by teachers. This article presents forced choice (FC) tasks, which, assembled as a diagnostic instrument, are supposed to measure students’ understanding of the nature of models efficiently, while being sensitive enough to detect differences between individuals. In order to evaluate if the diagnostic instrument is suitable for its intended use, we propose an approach that complies with the demand to integrate students’ responses to the tasks into the validation process. Evidence for validity was gathered based on relations to other variables and on students’ response processes. Students’ understanding of the nature of models was assessed using three methods: FC tasks, open-ended tasks and interviews (N?=?448). Furthermore, concurrent think-aloud protocols (N?=?30) were performed. The results suggest that the method and the age of the students have an effect on their understanding of the nature of models. A good understanding of the FC tasks as well as a convergence in the findings across the three methods was documented for grades eleven and twelve. This indicates that teachers can use the diagnostic instrument for an efficient and, at the same time, valid diagnosis for this group. Finally, the findings of this article may provide a possible explanation for alternative findings from previous studies as a result of specific methods that were used.     

Populist linguistic tone in recent U.S. presidential campaign discourse: a DICTION analysis

ABSTRACT

This study analyzed the tone of public campaign remarks of right- and left-wing populist (Donald Trump and Bernie Sanders, respectively) and right and left-wing non-populist (Mitt Romney and Hillary Clinton, respectively) U.S. presidential candidates using DICTION 7.0. Findings suggest that populists tended to use a linguistic tone that is high in pessimism, group abstractness, and exclusion. Pessimism and group abstractness were positively associated with immigration language in right-wing populist speech. Commonality and “we-ness” were positively associated with populist language in left-wing populist speech.     

A refined definition of structure in teaching

More on structure in teaching. Will the order of presentation of material influence production of logical relationships?