The notion of definition is a central building block of mathematics. In addition to specific definitions, it is desirable that students learn about meta-mathematical aspects of definitions such as their role of classification, and about characteristics of definitions such as arbitrariness. We investigated how such meta-mathematical aspects emerge…

Subject departments are an increasingly important unit of analysis for research on schools and beginning teachers' experiences. By analysing a practice-based typology of eight departmental types through an exploratory factor analysis of questionnaires completed by beginning teachers (n = 55), the authors refined the typology to four (hierarchical;…

Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…

This dissertation examines the effectiveness of machine learning algorithms and feature engineering techniques for analyzing process data and predicting test performance. The study compares three classification approaches and identifies item-specific process features that are highly predictive of student performance. The findings suggest that…

The automated classification of examination questions based on Bloom's Taxonomy (BT) aims to assist the question setters so that high-quality question papers are produced. Most studies to automate this process adopted the machine learning approach, and only a few utilised the deep learning approach. The pre-trained contextual and non-contextual…

This study, framed by dignity-focused language policy and intersectional anti-adultism, investigates how 74 adults misclassified as English learners (ELs) during U.S. K-12 education conceptualize essential knowledge for educating bilingual students. Through semi-structured interviews, participants stressed two key areas for schools that serve…

False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…

Recent developments in the use of large-language models have led to substantial improvements in the accuracy of content-based automated scoring of free-text responses. The reported accuracy levels suggest that automated systems could have widespread applicability in assessment. However, before they are used in operational testing, other aspects of…

In scholarly research, racial categories are typically taken for granted. However, race categories vary over time and geography and reflect the social beliefs of the people who use them. Informed by quantitative critical race theory analysis, we interrogate how race categories align (or not) with 24,000 U.S. higher education students' responses to…

Autism spectrum disorder (ASD) is characterized by impairments in many functional areas requiring long-term interventions to promote autonomy. This study aims to map The Sensory Profile™ 2 (SP-2), one of the most widely used assessment tools in children with ASD, with the International Classification of Functioning, Disability and Health for…

The Punjab University Library (PUL) is the oldest and largest public-sector university library in Pakistan, established in 1873 as a Punjab University College Library and then upgraded as PUL in 1882. As in many other post-colonial countries, the end of British rule over South Asians in 1947 did not end colonialism itself, as an embedded feature…

Introduction: Career transitions are considered to be the most challenging tasks in adolescence. Personal resources are important factors in coping with the difficulties encountered during transitions and help individuals to adjust more smoothly to these transitions. Using a person-centered approach, this study aims to identify typologies of…

Core and capital mentoring relationships have been demonstrated to be distinct types of relationships that have different characteristics, qualities of the relationship, and are linked to different outcomes among adolescents more generally. The present study adds to this growing literature base by examining whether this typology captures well the…

We investigated methods to enhance the generalizability of large language models (LLMs) designed to classify dimensions of collaborative discourse during small group work. Our research utilized five diverse datasets that spanned various grade levels, demographic groups, collaboration settings, and curriculum units. We explored different model…

Deep learning models for text classification have been increasingly used in intelligent tutoring systems and educational writing assistants. However, the scarcity of data in many educational settings, as well as certain imbalances in counts among the annotated labels of educational datasets, limits the generalizability and expressiveness of…