This study used mixed methods to explore the impact of a university-hosted professional learning community (PLC) on teacher retention in public schools. Recent graduates (1-3 years) and mentor teachers were invited to participate. Via a case study approach, participants were challenged to look critically at their teaching and use data to…

State education agencies (SEAs) are federally mandated to address discrimination in schools, including discrimination in school discipline practices, and SEAs can play an important role in helping schools and districts develop and implement more equitable, data-driven approaches to student discipline. SEAs' ability to identify challenges and offer…

This is a substantially expanded and enhanced revision of Phyllis Blumberg's acclaimed and bestselling book, "Developing Learner-Centered Teaching: A Practical Guide for Faculty" (Jossey-Bass, 2009). This easy to follow how-to-guide provides faculty with both a thorough introduction to this evidence-based approach to teaching and…

"Mathematical Thinking: From Assessment Items to Challenging Tasks" is a compilation of 36 problem-based lessons that encourage students to engage in productive struggle and deep thinking. Its 36 full-length lessons for grades 2-8 are each inspired by an actual test item from the National Assessment of Educational Progress (NAEP).…

"R" (R Development Core Team, 2011) is a very powerful tool to analyze data, that is gaining in popularity due to its costs (its free) and flexibility (its open-source). This article gives a general introduction to using "R" (i.e., loading the program, using functions, importing data). Then, using data from Canivez, Konold,…

A certain weighted average of the rows (and columns) of a nonnegative matrix yields a surprisingly simple, heuristical approximation to its singular vectors. There are correspondingly good approximations to the singular values. Such rules of thumb provide an intuitive interpretation of the singular vectors that helps explain why the SVD is so…

Technological advances have led to the generation of large databases of organizational data recognized as an information-rich, strategic asset for internal analysis and sharing with trading partners. Data mining techniques can discover patterns in large databases including relationships considered strategically relevant to the owner of the data.…

We introduce a new statistical procedure for the identification of unobserved categories that vary between individuals and in which objects may span multiple categories. This procedure can be used to analyze data from a proposed sorting task in which individuals may simultaneously assign objects to multiple piles. The results of a synthetic…

Purpose: The internet technology becomes an essential tool for individuals, organizations, and nations for growth and prosperity. The purpose of this paper is to integrate the DeLone and McLean IS success model with task-technology fit (TTF) to explain the performance impact of Yemeni Government employees. Design/methodology/approach:…

An expert in the field of science is often difficult to teach his knowledge to students. Conversely someone who is expert in the field of education is certainly more expert in transferring knowledge. The purpose of this research is to explore the skill of teaching skill preservice of physics teacher of High School. Samples were taken randomly as…

Several authors have noted that one of Émile Jaques-Dalcroze's aims was to dissolve the mind-body dualism, typical of Cartesianism. However, there has been little research on the spirit-body connection, as it appears in Jaques-Dalcroze's writings. The purpose of this document analysis is to understand how a hermeneutic phenomenological model for…

We examine how teacher leaders (TLs), working in a low-income urban elementary school, supported their colleagues to learn how to collect quality formative data and to discuss it in collaborative conversations in order to make their students' learning visible. The TLs faced challenges reflecting consequences resulting from the district's high…

This mixed-method study focuses on online learning analytics, a research area of importance. Several important student attributes and their online activities are examined to identify what seems to work best to predict higher grades. The purpose is to explore the relationships between student grade and key learning engagement factors using a large…

Background: The use of casual staff within the university undergraduate educational setting is a widespread phenomenon worldwide. However a lack of understanding exists regarding experiences of recruitment, support, professional development and other perceived professional needs in this area. Although previous studies of the experience of…

Background: Data-based decision-making (DBDM) and research-informed teaching practice (RITP) are key to teacher and school improvement. Currently, however, DBDM and RITP represent two distinct approaches to developing evidence-informed practice (EIP) and do not correspond to the all-encompassing notion of EIP envisaged by many academics and…