Literature shows there is support for adding connection and relevancy in mathematics for students through the use of real-world context and data in mathematical modelling. A teaching unit on mathematical modelling was designed within the context of future affordable housing for the local surrounding area. The teaching unit was implemented, and…

After more than 50 years of research on drop-out from Vocational Education and Training (VET), databases provide vast amounts of drop-out studies from around the globe that entail hundreds of potential drop-out factors. However, many scholars tend to explore the topic without detailed and theoretically grounded foundation. Several diverging…

Given the recently proposed three-filament theory of muscle contraction, we present a low-cost physical sarcomere model aimed at illustrating the role of titin in the production of active force in skeletal muscle. With inexpensive materials, it is possible to illustrate actin-myosin cross-bridge interactions between the thick and thin filaments…

To date, student issues with Massive Open Online Courses (MOOCs) have only been explored in context-specific environments. Mainstream problems such as declining student motivation during a course, massive student dropout rates, accountability, user experience, etc., persist due to the permutations and combinations of these issues. Literature is…

Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…

Design thinking dispositions are essential for students to understand why design thinking knowledge should be applied to perform specific tasks. However, few studies are focused on teaching design thinking dispositions. This study proposes a conceptual model that supports teaching design thinking dispositions to address this gap. The model was…

The study investigated the use of formalized cybersecurity apprenticeships as a means of workforce development to meet the needs of employers seeking to fill cybersecurity positions. The study employed a quantitative analysis using a constructivist grounded theory approach utilizing a survey with questions based on the findings of apprenticeships…

The Piazza Center Horizontal Hazing Model conceptualizes the ways in which hazing transitions from pre-college environments into higher education and across student constructed spaces such as student organizations or sorority and fraternity chapters. Hazing is multi-tiered, occurring at individual, organizational, and community levels. This model…

The purpose of this study was originally to create an operational definition of the "appearance of competence" to design valid questions for educational professionals supporting twice-exceptional (2e) learners to create a testing instrument. Through the methodological process of grounded theory, a replacement research question emerged as…

This article introduces a novel method that integrates collaborative filtering into the naive Bayes model to enhance predicting student academic performance. The combined approach leverages collaborative user behavior analysis and probabilistic modeling, showing promising results in improved prediction precision. Collaborative Filtering explores…

Sensitivity analysis, a statistical method crucial for validating inferences across disciplines, quantifies the conditions that could alter conclusions (Razavi et al., 2021). One line of work is rooted in linear models and foregrounds the sensitivity of inferences to the strength of omitted variables (Cinelli & Hazlett, 2019; Frank, 2000). A…

Socio-scientific issues (SSI) instruction positions the understanding and practice of science in the context of issues that are informed by science but require reasoning about their societal dimensions to respond to those issues effectively. For this reason, instruction in the context of SSI has been considered the gateway to contemporary visions…

In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…

Differential equations (DEs) are a powerful tool for modeling real-world contexts. Most research in this area has examined students' understanding and reasoning with pre-packaged DEs, with little attention being given to setting up sophisticated DEs to model complicated real-world situations. This study contributes through a collective case study…

Writing a synthesis text involves interacting reading and writing processes, serving the comprehension of source information, and its integration into a reader-friendly and accurate synthesis text. Mastering these processes requires insight into process' orchestrations. A way of achieving this is via process feedback in which students compare…