Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…

Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…

Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…

This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…

Purpose: A range of models of employability implicitly or directly identify potential drivers of motivated behaviour related to engaging in employment-related outcomes whilst acknowledging that employability is also about developing life skills. Motivational theorists suggest that tasks engaged for external purposes, e.g. working towards an…

Even highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co-redesign methods in partnership with disciplinary experts to create high-structure STEM courses that better support students and produce…

The nurturing of learners' ways of knowing is vital for supporting their intellectual growth and their participation in democratic knowledge societies. This paper traces the development of two interrelated theoretical frameworks that describe the nature of learners' epistemic thinking and performance and how education can support epistemic growth:…

Research in the social and behavioral sciences relies on a wide range of experimental and quasi-experimental designs to estimate the causal effects of specific programs, policies, and events. In this paper we highlight measurement issues relevant to evaluating the validity of causal estimation and generalization. These issues impact all four…

Engineering education research can benefit from comprehensive tools for assessing student self-concept and its relationship to identity development. This research addresses this gap by introducing a novel framework for evaluating engineering self-concept and exploring its influence on identity status transitions among first-year students. Key…

Teachers have responsibility and can assume agency for enhancing the education of Pacific students in Aotearoa New Zealand. Pacific education is an area which needs improvement and, consequently, Pacific communities seek actions -- deliberate strategies -- to enhance educational provision. Among the strategies available is the engagement of role…

What does it mean for a model to be a better model? One conceptualization, indeed a common one in Educational Data Mining, is that a better model is the one that fits the data better, that is, higher prediction accuracy. However, oftentimes, models that maximize prediction accuracy do not provide meaningful parameter estimates, making them less…

Although the fields of educational data mining and learning analytics have grown significantly in terms of analytical sophistication and the breadth of applications, the impact on theory-building has been limited. To move these fields forward, studies should not only be driven by learning theories, but should also use analytics to in form and…

Predictive models play a pivotal role in education by aiding learning, teaching, and assessment processes. However, they have the potential to perpetuate educational inequalities through algorithmic biases. This paper investigates how behavioral differences across demographic groups of different sizes propagate through the student success modeling…

Background/Context: Social network methodology is particularly relevant to the types of social structures found in education research. The current study develops a finite mixture approach for clustering ensembles of networks (NetMix). Following a structural equation modeling framework, NetMix simultaneously estimates a measurement model comprised…

This article introduces a 6P framework for understanding intelligence, as well as the theories and tests that are derived from it. The 6Ps in the framework are purpose, press, problems, persons, processes, and products underlying intelligence. Each of the 6Ps is considered in turn. We argue that although the purpose of intelligence is culturally…