Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…

The underrepresentation of women in Engineering, Technology, and Computing (ETC) education, with enrollments in leading global institutions falling below 30%, is a persistent challenge; however, emerging data suggests the efficacy of structured interventions. Analyses of contemporary data demonstrate that a confluence of institutional,…

This paper focuses on the undergraduate experiences in computer sciences (CS) disciplines of eight Native women and two-spirit undergraduates and how their values and experiences around the communal goal of giving back enable them to persist in computing. The paper draws from a one-year study that included participants across the U.S.A from…

This dissertation investigates the application of network models in educational assessment across diverse learning settings, encompassing both clinical and classroom environments. As educational paradigms shift and digital tools become more embedded in learning processes, traditional assessment methods often fall short in effectively capturing the…

Computational thinking and creative thinking are valuable tools both within and outside of computer science (CS). The goal of the project discussed here is to increase students' achievement in CS courses through a series of computational creativity exercises (CCEs). In this paper, the framework of CCEs is described, and the results of two separate…

Within the confines of this study, the researcher investigated Project Lead the Way (PLTW) Engineering curriculum goals within Missouri high schools. The study measured Missouri PLTW teachers' perceptions of various elements of the curriculum as well as state and national PLTW End of Course student assessment data to determine if a relationship…

Numerous studies have identified causal factors for academic success. Factors vary from personal factors, such as cognitive style (McKenzie & Schweitzer, 2001), to social factors, such as culture differences (Aysan, Tanriogen, & Tanriogen, 1996). However, in these studies it is re-searchers who theorized the causal dimensions and…

Identifying academic misdemeanours and actual applied effort in student assessments involving practical work can be problematic. For instance, it can be difficult to assess the actual effort that a student applied, the sequence and method applied, and whether there was any form of collusion or collaboration. In this paper we propose a system of…