Performance funding has been a popular form of funding colleges and universities for several decades. Often the purpose is to make universities more efficient (Miao, 2012). Missouri has had two separate models of performance funding in play, a decade apart. In this research both performance funding models are examined, including a 10- year period…

A wide range of machine-learning-based approaches have been developed in the past decade, increasing our ability to accurately model nonlinear and nonadditive response surfaces. This has improved performance for inferential tasks such as estimating average treatment effects in situations where standard parametric models may not fit the data well.…

Purpose: In this tutorial, we describe the initiation and implementation of a recently developed PhD Student-Mediated Mentorship Model (PS-MMM) used within our lab. In a PS-MMM, PhD students mentor graduate and undergraduate students under the direction of a faculty advisor. The model aims to address the PhD shortage by (a) teaching PhD students…

Exploratory structural equation modeling (ESEM) allows for the estimation of all cross-loadings, which leads to the number of parameters estimated substantially greater than that in conventional SEM. This study examined the sensitivity of fit measures (CFI, RMSEA, AIC, BIC, SaBIC, LRT) to measurement noninvariance in ESEM. Results suggested that…

Mentorship plays a pivotal role in the development of faculty, across areas of academic and professional achievement. Faculty mentor programs exist to support and advance faculty through a variety of models and levels. As an introduction to the special section on faculty mentorship and mentor models, the authors examine the critical importance of…

Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…

Understanding the world around us is a growing necessity for the whole public, as citizens are required to make informed decisions in their everyday lives about complex issues. Systems thinking (ST) is a promising approach for developing solutions to various problems that society faces and has been acknowledged as a crosscutting concept that…

This paper presents a theoretical exploration of the relationship between imagination, cognition and metacognition, conceptualised within "emergent models." These models are offered to enable dialogue and tools to understand and support imagination in education practice, through the presence of ever-transforming theory, conceived as…

In this paper, we introduce novel instructional approaches to engage students in using modelling with data to motivate and teach differential equations. Specifically, we introduce a pedagogical framework that will execute instructional modules to teach different solution techniques for differential equations through repositories and notebook…

Purpose: Building on the theories of social learning and social information processing, this paper aims to examine the effect of green servant leadership (GSL) on green voice behavior among staff working in Qatari higher education. In this relationship, the climate for green initiative (CFGI) was used to act as a mediating mechanism.…

The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…

Turning educational ideas into meaningful learning requires planning for uncertainty. This article presents Bakhtin's key concept of "eventness" as an essential aspect of defining dialogic space. To Bakhtin an event is something happening here and now, with a degree of open-ended uncertainty tied to what will happen next. Acknowledging…

Proteins are essential for cell function, and their biological performance depends on three-dimensional (3D) structures. Insulin is made up of 51 amino acids and is a critical hormone involved in glycaemia regulation. In basic education, concepts involving proteins (synthesis, structure, interactions, and function) are abstract and difficult for…

Linda Zagzebski's exemplarist moral theory has gained traction in recent years as a valid approach to moral education. Insufficient attention has so far been paid to questions about who we should count among exemplary people to be emulated. In this paper, we make the case for considering the Swedish climate activist Greta Thunberg as one moral…

This paper explores the specialized knowledge mobilized by a mathematics teacher in the selection and use of examples for teaching sequences. Taking an experimental case study approach, we analyse the examples deployed in a series of third-year secondary level lessons on sequences and identify the different knowledge subdomains activated according…