This contribution deals with effect measures for covariates in ordinal data models to address the interpretation of the results on the extreme categories of the scales, evaluate possible response styles, and motivate collapsing of extreme categories. It provides a simpler interpretation of the influence of the covariates on the probability of the…

Mathematical concepts are regularly used in media reports concerning the COVID-19 pandemic. These include growth models, which attempt to explain or predict the effectiveness of interventions and developments, as well as the reproductive factor. Our contribution has the aim of showing that basic mental models about exponential growth are important…

Researchers have become increasingly interested in response times to survey items as a measure of cognitive effort. We used machine learning to develop a prediction model of response times based on 41 attributes of survey items (e.g., question length, response format, linguistic features) collected in a large, general population sample. The…

Recent discourse about the impact of university research has focused on "what" research impact is and less on "how" it manifests. To explore these two questions, we draw on knowledge theory and build on the distinction between explicit knowledge and tacit knowledge. We propose that tacit knowledge and knowing are necessary…

Multi-source feedback is a 'rare bird' in higher education and yet recent research suggests multi-modal approaches to enhance university teachers' academic development. This article reports a qualitative interview study using a social constructionist approach to explore the storylines and positions of university students and teachers when they…

Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…

The concept of lifelong learning is becoming increasingly important in contemporary educational research and development. Although the relationship between experience (practice) and knowledge (theory) is becoming an important aspect of the formal learning process, current instructional design models do not point to educational strategies that…

Although the practice of academic advising in North America has existed since the colonial era, it is only within the past century that an organized movement to shape the field has taken root. Most of the literature seeking to clarify the role, purpose, and function of academic advising is restricted to the United States. The purpose of this…

The social autopsy takes the death of a set of individuals as its starting point and then critically and systematically examines social and political conditions to explain these deaths and generate awareness and policy change. After distinguishing the social autopsy from other means to explain excess and premature deaths, we delineate three core…

In factorial survey designs, respondents evaluate multiple short descriptions of social objects (vignettes) that experimentally vary different levels of attributes of interest. Analytical methods (including individual-level regression analysis and multilevel models) estimate the weights (or utilities) assigned to the levels of the different…

Coordination of theoretical probability and relative frequency estimates is challenging in probability teaching and learning. Modeling is one of the ways of teaching and learning that facilitates inquiry between these two perspectives. Given that, we designed a modeling activity to support fifteen secondary students in investigating theoretical…

We examined the effects of a five-week psychoeducational programme based on the Career Sailboat model on career decision-making self-efficacy levels of Turkish university students in their job-seeking phase. Twenty-six university students were assigned to one of three groups: experimental group (EG) (n = 9), the placebo group (PG) (n = 7) and the…

The recognition memory receiver operating characteristic (ROC) is typically asymmetric with a characteristic elevation of the left-hand portion. Whereas the unequal variance signal detection model (uvsd) assumes the asymmetry results because old item evidence is noisier than new item evidence, the dual process signal detection model (dpsd) assumes…

This article examines the work of predictive analytics in shaping the social worlds in which they thrive, and in particular the world of the first year of Great State University's student success initiative. Specifically, this article investigates the following research paradox: predictive analytics, as driven by a logic premised on predicting the…

Tinto's (1993) interactional model of student departure was initially developed for students in traditional academic degrees, at residential colleges in the US. This paper takes up Tinto as a fruitful starting point for a critical review of the aspects of the model which are more and less suitable for professional degrees: integration and…