This book offers a collection of original, peer-reviewed studies by scholars working to develop a knowledge base of teaching and facilitating self-study research methodology. Further, it details and interconnects perspectives and experiences of new self-study researchers and their facilitators, in self-study communities in different countries and across different continents. Offering a broad range of perspectives and contexts, it opens up possibilities for encouraging the collaborative and continuous growth of teaching and facilitating self-study research within and beyond the field of teacher education. The breadth of the scholarship presented expands scholarly discussions concerning designing, representing, and theorising self-study research in response to pressing educational and social questions. By documenting and understanding what teaching and learning self-study looks like in different contexts and what factors might influence its enactment, the book contributes to building a kaleidoscopic knowledge base of self-study research. Overall, this book demonstrates the impact on participants' professional learning and validates the authenticity and generative professional applications of self-study methodology for and beyond teacher education, providing implications and recommendations for practitioners on a global level.

This book offers a collection of original, peer-reviewed studies by scholars working to develop a knowledge base of teaching and facilitating self-study research methodology. Further, it details and interconnects perspectives and experiences of new self-study researchers and their facilitators, in self-study communities in different countries and across different continents. Offering a broad range of perspectives and contexts, it opens up possibilities for encouraging the collaborative and continuous growth of teaching and facilitating self-study research within and beyond the field of teacher education. The breadth of the scholarship presented expands scholarly discussions concerning designing, representing, and theorising self-study research in response to pressing educational and social questions. By documenting and understanding what teaching and learning self-study looks like in different contexts and what factors might influence its enactment, the book contributes to building a kaleidoscopic knowledge base of self-study research. Overall, this book demonstrates the impact on participants' professional learning and validates the authenticity and generative professional applications of self-study methodology for and beyond teacher education, providing implications and recommendations for practitioners on a global level.

Since the 1960s, in comparison to other ethnic and gender groups, a higher rate of depression and suicide ideationhas been documented for Latina girls. This Brief offers a concise summary of contemporary research on this critical topic. Among the considerations are the influence of bullying, families, immigration, and culture on Latina adolescent mental health. Presenting cutting-edge multiracial feminist frameworks for new and existing empirical findings, this book serves to guide the future research agenda on this topic. Clinical recommendations are also included. "

The variable metric algorithm is widely recognised as one of the most efficient ways of solving the following problem:- Locate x* a local minimum point n ( 1) of f(x) x E R Considerable attention has been given to the study of the convergence prop- ties of this algorithm especially for the case where analytic expressions are avai- ble for the derivatives g. = af/ax. i 1 *** n * (2) ~ ~ In particular we shall mention the results of Wolfe (1969) and Powell (1972), (1975). Wolfe established general conditions under which a descent algorithm will converge to a stationary point and Powell showed that two particular very efficient algorithms that cannot be shown to satisfy \,olfe's conditions do in fact converge to the minimum of convex functions under certain conditions. These results will be st- ed more completely in Section 2. In most practical problems analytic expressions for the gradient vector g (Equ. 2) are not available and numerical derivatives are subject to truncation error. In Section 3 we shall consider the effects of these errors on Wolfe's convergent prop- ties and will discuss possible modifications of the algorithms to make them reliable in these circumstances. The effects of rounding error are considered in Section 4, whilst in Section 5 these thoughts are extended to include the case of on-line fu- tion minimisation where each function evaluation is subject to random noise.