Sensitivity analyses encompass a broad set of post-analytic techniques that are characterized as measuring the potential impact of any factor that has an effect on some output variables of a model. This research focuses on the utility of the simulated annealing algorithm to automatically identify path configurations and parameter values of omitted…

Expanding our understanding of the lived experience of individuals who use their creativity to realize entrepreneurial opportunity is the primary aim of this paper. Interpretative Phenomenological Analysis is used, based on two interviews of one-hour duration, with eight participants. The key contribution of this research is the recognition of the…

Cheating detection in large-scale assessment received considerable attention in the extant literature. However, none of the previous studies in this line of research investigated the stacking ensemble machine learning algorithm for cheating detection. Furthermore, no study addressed the issue of class imbalance using resampling. This study…

The purpose of this paper was to briefly address the need for a conceptual framework for informatics and develop a preliminary conceptual framework. The review of the literature on informatics and the approaches to a conceptual framework tend to be linked to discussion concerning designing curriculum rather than attaining a better understanding of…

In this article, we outline the work of using the Sustainable Development Goals (SDGs) in graduate leadership education for sustainability (GLES). We identify how the SDGs can serve as an effective operationalization of the concept of sustainability, propose a framework of GLES, provide specific examples of the use of the SDGs in graduate…

Curiosity has long been extolled as a seed for employee creativity. This causality is plausible when considering curiosity as a stable trait. However, curiosity can also oscillate as a transitory state, thus complicating the causal sequence between such state curiosity and creativity. To clarify the causal ordering and achieve a refined…

Despite the unanimous agreement regarding the positive outcomes of learner engagement, theorists and researchers draw attention to the disparate conceptualizations and structural models of "engagement" construct. The present study, in this respect, attempts to contribute to the development of a theoretical framework by suggesting a…

This study aims to present an integrative review of research on the models used for identification and development of sports talent. It has two purposes: (1) to systematically analyze the models followed to identify and develop sports talent in the period of 2012-2021 and (2) to determine the model that is mostly followed in sports talent…

This study aimed to evaluate structural models and measurement models of student satisfaction in online learning. This was a quantitative study using a survey research design. Structural model testing was done by examining the relationship between several variables. The variables in question were the learning management system (LMS), admin…

This paper describes a teaching experiment in a Numerical Methods course for Master of Science students. The experiment uses scientific papers to develop modelling studies in the context of wine fermentation microbial interactions. The course involves theoretical and laboratory classes that focus on implementing numerical methods using Matlab for…

A foundational principle of neo-Aristotelian character education is that virtue can be cultivated, in particular through the emulation of moral role models, such as teachers. Yet despite the pedagogical appeal of role modelling, what emulation involves remains methodologically unclear. In this paper, I suggest that part of this ambiguity lies in a…

This practice report describes the development of a compensatory educational model to introduce first-year college students to resilient mindsets. The Teaching Resilient Mindsets Model emphasized (1) realistic expectations, (2) an "always learning" mindset, and (3) being prepared for challenges before they arise. After development, the…

Although the generalized deterministic inputs, noisy "and" gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees. To address this, this study proposes the mixture G-DINA model, a CDM that…

Item response theory (IRT) models are often compared with respect to predictive performance to determine the dimensionality of rating scale data. However, such model comparisons could be biased toward nested-dimensionality IRT models (e.g., the bifactor model) when comparing those models with non-nested-dimensionality IRT models (e.g., a…

As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…