Event-triggered control for multi-agent systems with randomly occurring nonlinear dynamics and time-varying delay

The paper investigates the consensus problem for multi-agent systems with randomly occurring nonlinear dynamics and time-varying delay. A novel event-triggered scheme has been proposed, which can lead to a significant reduction in information communication in a network. By utilizing stochastic analysis and properties of the Kronecker product, consensus criteria are derived in the form of linear matrix inequalities, which can be readily solved using the standard numerical software. Finally, an illustrative example is used to show the effectiveness of the event-triggered scheme.     

Theories of change and outcomes in home-based Early Head Start programs

Programs to promote children's early development are based on a set of assumptions, explicit or implicit, about intended outcomes and how the program will effect change. The “theories of change” were examined in ten home-based programs in the Early Head Start Research and Evaluation Project (EHSREP), using data collected through multiple interviews with program staff. All home-based programs indicated that parenting outcomes were among their highest three priorities, while only 4 of 10 programs said that child outcomes were in their top priorities. The pattern of outcome differences between randomly-assigned program and control group participants reflected the programs’ theories of change in several ways. Early Head Start home-based programs showed positive impacts on 9 of 9 parenting outcomes, including parental supportiveness, home language and learning supports, emotional responsiveness, and family conflict when children were 24 months of age. Significant program impacts on child cognitive skills (Bayley MDI scores) and social behavior (observed child engagement of parent during play) were found when children were 36 months of age. Mediation analyses showed that the 54% of the program impact on 36-month child cognitive scores was mediated by 24-month program impacts on parental supportiveness, language and learning support, emotional responsiveness, and family conflict, and 47% of the program impact on 36-month child engagement of parent was mediated by 24-month impacts on parental supportiveness, language and cognitive stimulation, and emotional responsiveness. Results from mediation analyses were consistent with these home-based programs’ theories of change, supporting the efficacy of focusing on parent change as a mechanism for child outcomes in home visiting programs.     

Worldviews,religions, and beliefs about teaching and learning: perception of mathematics teachers with different religious backgrounds

Beliefs about mathematics education and their influences on teaching practices have been widely investigated in recent decades. There have been numerous empirical studies on the influences of religions on teachers’ and students’ beliefs about subjects such as sciences and language. However, the influences of worldviews in general and religions in particular, as one of the major sources of beliefs in relation to mathematics education, are under-researched. The current study is a first step to unpacking the relationship between teachers’ religions and their beliefs about mathematics teaching and learning. By means of semi-structured interviews with mathematics teachers of different religious backgrounds, teachers’ perceptions on the connection between their personal religious beliefs and their beliefs about teaching and learning are investigated. In-depth analyses of the perceptions of three mathematics teachers reveal the complex relationship between teachers’ religious beliefs and their teaching beliefs. First, there are some common values shared by different religions, which influence the beliefs about mathematics teaching and learning as well as education in general. Second, religion is a rich belief system, and the teachers appear to apply only a portion of their religious beliefs to guide their teaching. It is also possible that a teacher is influenced by more than one religion or cultural tradition. Despite its subtleties, our study provides evidence to support the alignment between teachers’ personal religious beliefs and their beliefs about mathematics teaching and learning.     

Grade 5 Students’ Online Argumentation about Their In-Class Inquiry Investigations

This study examined the extent to which fifth-grade students participate in online argumentation and the argument patterns they produced about the inquiry-based investigations completed using the Science Writing Heuristic approach in their science classes. One hundred twenty-nine students from five classes of two teachers in a Midwestern public school completed two inquiry-based investigation units, one per semester, followed by asynchronous online discussions using the Moodle forum. Among the 129 students, 107 students produced 739 notes in the plant investigation online discussion and 111 students produced 686 notes in the human health investigation online discussion. Results indicate that students were actively engaged in the online discussions about inquiry investigations with comments being focused on providing more evidence and backing for claims and negotiating evidence in both investigations. The students also engaged in challenging and querying the test procedures and reference sources as the basis for evidence. Implications are discussed for science teaching and learning and further study on argument-based inquiry in online environments.     

Spheres of influence: what shapes young people’s aspirations at age 12/13 and what are the implications for education policy?

Young people’s aspirations remain an enduring focus of education policy interest and concern. Drawing on data from an ongoing five-year study of young people’s science and career aspirations (age 10–14), this paper asks what do young people aspire to at age 12/13, and what influences these aspirations? It outlines the main aspirations and sources of these aspirations as expressed by young people in England in the last year of primary school (survey of 9000+ Y6 pupils, aged 10/11, interviews with 92 children and 76 parents) and the second year of secondary school (survey of 5600+ Y8 pupils, aged 12/13, interviews with 85 pupils). We demonstrate how aspirations are shaped by structural forces (e.g. social class, gender and ethnicity) and how different spheres of influence (home/family, school, hobbies/leisure activities and TV) appear to shape different types of aspirations. The paper concludes by considering the implications for educational policy and careers education.     

Doug Kirby's contribution to the field of sex education

Doug Kirby transformed the field of sex education by conducting rigorous research that led to new, critical insights about ways to strengthen programmes, evaluation and policies related to sexual health throughout the world. Throughout his career, Kirby was meticulous in compiling evidence and translating findings into actionable recommendations for interventions, research and policy. He published more than 150 scientific articles, book chapters and monographs that have been widely cited and more than 900,000 copies of his publications have been distributed. Kirby's impact has been recognised with awards from numerous professional organisations and his unique and powerful scientific voice is greatly missed by his colleagues and friends.     

What makes a professional learning community possible? A case study of a Mathematics department in a junior secondary school of China

The concept of “professional learning community” (PLC) has been suggested as a tool to improve teachers’ professional competency and students’ learning outcomes since the mid-1990s. In such a community, teachers can share their individual practices with the aim of searching for “good practice” based on the outcome of collective inquiry. Such a learning process will result in a reculturing of the school community by reshaping the existing values and cultures and resolving problems such as teacher isolation and individualism. China already has a long tradition of teachers working and learning collaboratively, so investigating collaborative efforts in this context may provide a view of how to contextualize professional development of teachers in schools. This study attempts to access teachers’ lenses in order to explore their views on the effects of subject-based professional learning activities. This also helps to explain how teachers work and openly share their practices aiming at improving their professional competency and student learning outcomes within their communities. Also, factors influencing the sustainability of a professional learning community will be discussed.     

Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies

Modern engines are controlled by electronic control units, which operate all the engine actuators based on the signals from various sensors in the engine. Traditionally, the control parameters of the actuators are obtained through huge amount of trial-and-error experiments. However, using traditional approach to calibrate these parameters becomes more challenging with the increasing incorporation of new technologies into advanced engines. In order to reduce the number of experiments required in the calibration process of modern engines, a novel point-by-point engine calibration approach based on machine learning methods is proposed in this study. It is an iterative procedure that, for a given operating point, sequential design of experiment (DoE) strategy is utilized to measure the responses of different engine sensors corresponding to different actuator signals, and a machine learning algorithm called initial-training-free online extreme learning machine is utilized to incrementally learn the relationship between the sensors and actuators based on the measurement acquired. In each iterative cycle, meta-heuristic optimization is performed on the machine-learning-based model to search for the best parameters, which are then used as the initial parameters for generating DoE plan of the next cycle. The iteration is repeated until the optimal parameters of that operating point are found. To verify the effectiveness of the proposed approach, experiments on both simulation engine in commercial software and real engine in test bench have been conducted. The results show that the engine calibration can be carried out with significant fewer experiments and time by using the proposed approach.