The present study used a longitudinal mixed-method design to investigate the relationship between post-PhD researchers' writing conceptions and their experiences, scholarly trajectory, and networking capabilities. A total of 134 Spanish post-PhD researchers answered the "Post-PhD Experience"--Survey scales on "Academic Writing"…

This study aims to identify the extent to which middle school principals use social networks in managing a school crisis. It used a descriptive survey approach and employed a questionnaire to examine a sample comprising 66 middle school principals. The study found a low degree of dependence by principals on social networks in general and across…

Background: While journalists claim social media platforms like Facebook and Twitter have been central to the growth of the opt-out movement, there is a lack of empirical research that examines its use by participants. We address this gap by highlighting findings related to the usage of social media by opt-out participants in Ohio. Purpose: This…

This paper presents a case study of a local school network in England that is well established as a provider of initial teacher education (ITE). School networks are now the favoured providers of ITE in England in a 'school-led' system. Our evidence comes from participant observation and interviews conducted over a five-month period (more than 400…

Networked improvement communities (NICs) mark a promising approach to address the challenges of sustaining school reform. Whereas NICs are intended to help scale and sustain reforms, there is little evidence on how this works, as few NICs have existed long enough to be described over time. This study uses social network theory to understand what…

Decisions often require a tradeoff between immediate and long-term gratification. How individuals resolve such tradeoffs reflects constructs such as temporal discounting, the degree that individuals devalue delayed rewards. Recent research has started to focus on temporal decisions made in collaborative contexts (e.g., dyads, small groups).…

This study aims to examine the latest research trends in higher education for business by grasping the key trends, topics, and interrelationship of each subject. For this study, 304 research articles from four international "top-tier" journals were collected in the field of business education for two years 2018 ~ 2019 and analyzed…

Professional networks of teachers have been well documented in education studies but there is still a need for a fine-grained analysis of teachers' ego-networks in the context of curriculum making. It is important to understand the nature and dynamics of teachers' connections and how teachers mediate their practices accordingly. This study…

This article highlights the utilization of Missouri Community Action Network's Poverty Simulation within an Interprofessional Education program to teach students about the complexities of poverty and enhance the development of professional identity.

"Reading the Machine: Digital Reading Practices and the Contemporary U.S. Novel," investigates how emerging information technologies--networked devices, software programs, and algorithmic protocols--redefine cultural forms of textual production and reception. Focusing on the longstanding literary form of the novel as a point of entry,…

The purpose of this quantitative correlational predictive study was to examine if and to what extent perceived organizational support (POS) and perceived social support (PSS) predicted turnover intention in female high school principals in the United States. The sample consisted of 88 female high school principals in the United States. The…

Nationwide communities struggle to meet the unique needs of at-risk populations. Currently, a large group of potential volunteers are entering retirement and moving into the next phase of their lives. There is a gap in the research specific to the volunteer motivations of older adults. Because of this gap, my study explored the volunteer…

In this thesis, we incorporate information theory into statistical signal processing and machine learning in order to achieve robust learning in presence of outliers (or generally in environments with non-Gaussian structure). In other words, by incorporating information theory especially when structure of environment is non-Gaussian, the…

Several daily phenomena around us can be modeled as time-evolving networks. Working with expressive and tractable models for the evolution of such networks can improve different prediction and decision-making tasks. While the literature has studied many approaches to model such networked phenomena partially, multiple gaps remain. This thesis is an…

Supporting student engagement in science practices requires rethinking how classroom learning occurs, specifically in terms of the interactions that help students build their own knowledge. The types of student-driven exchanges fundamental to the science practice of argumentation differ greatly from traditional classroom interactions. To help…