This paper employs BP Neural Network (BPNN) theory to evaluate innovation and entrepreneurship education in universities. It utilizes students' evaluation indexes as input vectors and determines the number of hidden layer neurons. Experimental results serve as output vectors. The BPNN method proves reasonable and feasible for vocational education…

Transactive memory systems (TMSs) describe the structures and processes that teams use to share information, work together, and accomplish shared goals. First introduced over three decades ago, TMSs have been measured in a variety of ways. This dissertation proposes the use of network analysis in measuring TMS. This is accomplished by describing…

Following repeated calls to ground the research surrounding distance education in theory, we engaged in a bibliometric exploration of the extant literature in order to determine the degree to which the field has been responsive to these calls. We focused on describing the trends -- theoretical as well as methodological -- of recent (2014-2018)…

This dissertation is composed of three interlinked studies that pilot new methods for combining corpus linguistics and semantic network analysis (SNA) to understand and teach academic language. Findings indicate that this approach leads to a deeper understanding of technical writing and offers an exciting new avenue for writing curriculum. The…

This paper offers a detailed consideration of how the theoretical scope of the boundary object concept fits within an actor-network theory (ANT) sensibility when researching 'messy objects'. Messy objects are artefacts whose relational effects are inherently slippery and complex. As the aim of ANT is to show how non-human and human actors are…

The purpose of this work is to provide an overview of complex systems research for educational psychologists. We outline a philosophically and theoretically sourced definition of complex systems research organized around complex, dynamic, and emergent ontological characteristics that is useful and appropriate for educational psychology. A complex…

Radical social movements are broadly engaged in, and dedicated to, promoting change in their social environment. In their corresponding efforts to call attention to various causes, communicate with like-minded groups, and mobilize support for their activities, radical social movements also produce an enormous amount of text. These texts, like…

Professional development [PD] providers can shape how teachers understand and implement new policies. Yet we have a limited understanding of how providers develop the ideas they promote. We explore this by examining social capital among mathematics PD providers. Using social network and interview data, we identified providers in brokerage…

This convergent mixed-methods study explored the relation between strategies fourth-grade students self-reported to navigate and interpret science texts and their performance on a comprehension posttest. Using Epistemic Network Analysis (ENA), results reveal a higher degree of metacognitive awareness and the ability to orally explain one's…

This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…

Teacher resilience has become a prominent and multidimensional subject of interest in recent educational research. Its growing recognition has fuelled a wealth of investigations, necessitating a quantitative science mapping approach for comprehensive understanding of this evolving domain. This paper conducts a bibliometric analysis of empirical…

Dialectical thinking is a way of discussing and analyzing things from different viewpoints to reach a solution. It is often taught in language courses by conducting argumentation activities. However, without providing effective strategies or tools, learners generally encounter difficulties in structuring their viewpoints during the argumentation…

Rumination, a form of passive, repetitive negative thinking, predicts the development of depressive disorders in non-autistic individuals, and recent work suggests higher levels of rumination may contribute to elevated rates of depression in the autistic population. Using psychological network analysis, this study sought to investigate the…

Objective: This article uses social network analysis (SNA) to analyze how various measures of social connectedness relate to body dissatisfaction (BD) in sorority members. Participants: 208 sorority members participated in the study. Methods: Measures of social connectedness (network variables) were created based on two relational networks:…

In this article we research Spanish educational influencers with major presence on Twitter: what are the most common topics or hashtags used by them, whether there are groups based on the topics of their interventions or what type of social network they configure. To meet these goals, we selected 54 educational influencers with a high number of…