Despite rapid advances, modeling a variety of instructional designs to support variations in teaching and learning during the design of educational technologies is still an open challenge. In this paper, we propose a patterns based approach for the design of educational technologies to address this challenge. This is in contrast with existing…

The theoretical reflection on the nature of school algebra and the development of algebraic thinking from the first educational levels is a relevant topic in mathematics education. In this paper, we first summarize and clarify the positions held on this topic by two theoretical frameworks: the Theory of Objectification and the Onto-semiotic…

Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…

In this paper, we reflect on Luisa Marco-Bujosa's paper, "Soul searching in teaching science for social justice: an exploration of critical events through the lens of intersectionality." Our goal is to offer the reader a deeper understanding of the principles and epistemologies of Afrocentric schooling that were foundational to Faith's…

Shannon and Weaver's communication process model is a dominant model used to understand communication between a sender and receiver. The model is used to explain communication in management and organizational behavior textbooks. Despite its proliferation, few studies have examined this model's role in introductory management and organization…

Competency models are widely adopted frameworks that are used to improve human resource functions and education. However, the characteristics of competency models related to the information security and cybersecurity domains are not well understood. To bridge this gap, this study investigates the current state of competency models related to the…

This paper focuses on unpacking the United States Air Force's (USAF) instructional system development (ISD) model as it evolved over time to its present form. In post-World War II training, the USAF was a leader in the study and use of systematic instructional design procedures, with its early efforts often coinciding with the work of the…

As a prominent aspect of modeling learners in the education domain, knowledge tracing attempts to model learner's cognitive process, and it has been studied for nearly 30 years. Driven by the rapid advancements in deep learning techniques, deep neural networks have been recently adopted for knowledge tracing and have exhibited unique advantages…

Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…

Within the commognitive perspective, ritual and explorative routines are used in a very particular way to distinguish students' routines according to whether they are driven by social reward or by generating a substantiated narrative. Explorative routines in this theorisation may refer not to inquiry-based activity but to the result of a student's…

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…