This dissertation aimed to explore the use of machine learning (ML) models in in-patient clinical settings. A literature review was conducted to identify existing guidelines and frameworks for such models, and an in-depth study was conducted on ML-based models to understand their behavior and implications on patient outcomes. A conceptual…

This dissertation used synthetic datasets, semi-synthetic datasets, and a real-world dataset from an educational intervention to compare the performance of 15 machine learning and multiple imputation methods to estimate the individual treatment effect (ITE). In addition, it examined the performance of five evaluation metrics that can be used to…

It is well known that research quality notions vary across research fields. Despite this, humanities quality notions are often portrayed as deviant or particularly hard to grasp. To some extent, this has a historical explanation, as notions from within the humanities have not been the standards used in the development of research evaluation tools.…

Functional group analysis is an essential part of the curriculum for identifying unknown organic compounds. However, traditional methods of analyzing functional groups use excess reagents and generate a large amount of waste material that is difficult to dispose of. This work is focused on alternative methods for detecting functional groups such…

The rise of the digital era has led to a decline in handwriting as the primary mode of communication, resulting in negative effects on handwriting literacy, particularly in complex writing systems such as Chinese. The marginalization of handwriting has contributed to the deterioration of penmanship, defined as the ability to write aesthetically…

This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…

Narratives that dominant the discourse of the experiences of people of color, specifically in education settings, are incomplete. Therefore, identifying methodological approaches that emphasize the perspectives of minoritized groups is essential. Counternarratives have been applied to help (re)tell stories of the oppressed to challenge dominant…

The discipline of performance analysis is founded upon the collection and analysis of objective and reliable data to support the coaching process. While research has begun to identify the potential importance of trust in applied sporting environments, there remains a paucity of inquiry that seeks to explicitly investigate trustworthiness in the…

Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…

The author provides information about reliability and areas that educators should examine in determining if an assessment is consistent and trustworthy for use, and how it should be interpreted in making decisions about students. Reliability areas that are discussed in the column include internal consistency, test-retest or stability, inter-scorer…

In this article, I argue that we need to reposition how we think about and talk about assessment from a faculty-focused task to a student-centered process. To demonstrate the impact of this change in thinking, I will share a case study from my time as a basic course director and chair that illustrates the benefits of understanding assessment as a…

Anonymous assessment, introduced to higher education over the last twenty-five years to reduce attainment gaps, is a now common place. This paper suggests some ways in which anonymous assessment could be reconceptualised. We argue that there is scant empirical evidence of anonymity having worked in reducing attainment gaps in higher education. It…

Ecological momentary assessment has been increasingly used in autism studies over the last decade to capture and understand autistic people's behaviours, thoughts, feelings and daily experiences. This systematic review synthesised previous autism ecological momentary assessment studies to learn about the feasibility of ecological momentary…

Evaluation is essential to achieving program outcomes, especially when stakeholders engage with evaluation and make use of the findings. Both of these activities require evaluation capacity that might not be present in community-based organizations. In this paper, we describe how community-university partnership models can support evaluation…

Digital technologies allow student self-assessment to be adaptive, scalable and multimodal. Despite such technological advances, digital self-assessment practices have largely reinforced the existing norms around student roles, leaving the fundamentals of self-assessment design untouched. Digital self-assessment has centred on learning outcomes…