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…

The Europeanization of higher education has gained considerable scope and momentum over the past quarter century. Whereas the coordinative Bologna process, with soft governance mechanisms, has facilitated standardization across countries, European Commission funding programs target universities more directly. The Erasmus Mundus Joint Degree…

The potential of online collaborative learning has been recognized in teacher education, and the value student teachers' collective agency in predict their sustainable professional develop has been discussed. However, there is limited understanding of how student teachers' collaborative knowledge construction behaviors correlate with their…

Purpose: This study investigates teachers' perceptions of how school conditions influence their motivation for opportunity recognition. It uses discovery theory as a theoretical lens to understand the dynamics of entrepreneurial teachers' knowledge and alertness in responding to school conditions. Design/methodology/approach: Using a multi-case…

Background: Many researchers have explored the impact of various technologies in museums on learning effects. Whether the application of technology in informal museum learning is effective, is the current issue that scholars pay more attention to. Objectives: This study will find the evidence to determine the effects of technology use on museum…

Despite the heterogeneity in autism, socioemotional difficulties are often framed as universal. Increasing evidence, however, suggests that socioemotional difficulties may be explained by alexithymia, a distinct yet frequently co-occurring condition. If, as some propose, autistic traits are responsible for socioemotional impairments, then…

This study approaches the identification and prediction of transformative research topics by using the concepts of catastrophe theory. Based on the evaluation model of catastrophe theory, 11 indicators were selected for four different aspects: growth rate, economic and social influence, network characteristics and the degree of uncertainty in…