Vision classification tasks, a fundamental and transformative aspect of deep learning and computer vision, play a pivotal role in our ability to understand the visual world. Deep learning techniques have revolutionized the field, enabling unprecedented accuracy and efficiency in vision classification. However, deep learning models, especially…

In this article we attempt to reconstruct the tacit and implicit notions of quality in the humanities. This reconstruction is based on a series of semi-structured qualitative interviews with 33 humanities scholars. Applying Max Weber's theory of authority, we argue the quality notions have two different sources--external and internal. External…

This exploratory study investigated the experiences of teachers who participated in a collaborative inquiry project. This was designed to gain insights into the learning dispositions (skill, inclination and sensitivity) participants reported when undertaking this form of professional learning. The specific inquiry initiative utilised Design-based…

Accountability for racially disproportionate discipline and dis/ability classification has conventionally spotlighted the disparate impact on students. Typically, findings such as "x% of African American students were suspended" or "y% of Latinx students were misidentified as having learning dis/abilities" reinforce this…

Recent developments have enabled the modeling of longitudinal assessment data in a diagnostic classification model (DCM) framework. These longitudinal DCMs were developed to provide measures of student growth on a discrete scale in the form of attribute mastery transitions, thereby supporting categorical and criterion-referenced interpretations of…

Words influence cognition well before infants know their meanings. For example, three-month-olds are more likely to form visually based categories when exemplars are paired with spoken words than with sine-wave tones, a likely precursor to learning symbolic relations between words and their referents. However, it is unclear why words have these…

In rule-based (RB) category-learning tasks, the optimal strategy is a simple explicit rule, whereas in information-integration (II) tasks, the optimal strategy is impossible to describe verbally. This study investigates the effects of two different category properties on learning difficulty in category learning tasks--namely, linear separability…

Background: A body of literature has arisen analyzing and legitimating the emerging field of engineering education research (EER). Using concepts from the sociology of knowledge, EER can be described as a region because it has relationships both to other academic fields and to its field of practice. Of interest is the strength of boundaries…

Higher education institutions increasingly live in environments in which they are subject to evaluation and rankings. We examine the way in which Italian (mostly public) universities adapted to the new landscape created by the official research assessments, which have produced rankings at national level, published in 2013 and 2016. We compare the…

To mitigate the deleterious effects of rapid guessing (RG) on ability estimates, several rescoring procedures have been proposed. Underlying many of these procedures is the assumption that RG is accurately identified. At present, there have been minimal investigations examining the utility of rescoring approaches when RG is misclassified, and…

Contribution: This study presents the results of a systematic mapping on the classification and organization of open educational resources (OERs) focused on Computer Science Education (CSEd) in digital sources. Background: The number of open resources (e.g., images, videos, and websites) available on the Internet for the teaching of Computer…

The quality assurance of MOOCs focuses on improving their pedagogical quality. However, the tools that allow reflection on and assistance regarding the pedagogical aspects of MOOCs are limited. The pedagogical classification of MOOCs is a difficult task, given the variability of MOOCs' content, structure, and designs. Pedagogical researchers have…

The research in this dissertation consists of two parts: An active learning algorithm for hierarchical labels and an embedding-based retrieval algorithm. In the first part, we present a new approach for learning hierarchically decomposable concepts. The approach learns a high-level classifier (e.g., location vs. non-location) by separately…

This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…

Reform is often associated with anticipated changes aimed at altering and improving social structures. Revealing the outcomes of reform initiatives, as well as identifying key facilitators and circumstances that contributed to their success or failure, can provide a deeper understanding of this distinct social phenomenon. Social transformations…