The incongruity-resolution model plays a key role in the cognitive mechanisms of perceived humour. This study employed the incongruity-resolution model to discuss humorous design techniques to help design novices and students understand the influence of various humorous design techniques on perceived humour. First, 260 humorous products currently…

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…

Computational thinking (CT) activities are increasingly being integrated into early childhood schools. We focus on studying children's learning using an "unplugged" (non-computational) learning unit that considers a teacher's knowledge and classroom space and affords seamless adaptation into the classroom given the objects used in the…

Background: Prior research suggests that the teaching of abstract concepts can be enhanced by the use of concrete examples, but there are few controlled studies. Objective: To replicate key findings from experiment one from Rawson et al. (2015). Method: Experiment participants studied definitions of abstract concepts from psychology, either with…

Color terms divide the color spectrum differently across languages. Previous studies have reported that speakers of languages that have different words for light and dark blue (e.g., Russian "siniy" and "goluboy") discriminate color chips sampled from these two linguistic categories faster than speakers of languages that use…

A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical datasets. In this paper, we test a large variety of wisdom of the crowd algorithms to label medical images that were initially classified by individuals recruited through an app-based platform. Individuals classified skin lesions from the International…

Whilst teaching about the nature of science (NOS) is a significant goal of science education, there remains debate about specifying the NOS and appropriate pedagogies and approaches to researching the NOS. A neglected, but conceptually and practically significant, problem is the proliferation of NOS-related learning goals such as NOS beliefs,…

The paper presents a framework for school guidance in the twenty-first century that focuses the guidance approach, on promoting lifelong learning and takes into account the impact of VUCA (volatility, uncertainty, complexity, and ambiguity). It outlines the goals, objectives, and key players involved in guidance approach and provides a structured…

Evaluation competency frameworks across the globe regard evaluation approaches as important to know and use in practice. Prior classifications have been developed to aid in understanding important differences among varying approaches. Nevertheless, there is an opportunity for a new classification of evaluation approaches, in particular one that is…

Quality of universities is best viewed through the eyes of stakeholders. Yet, in the United Kingdom and elsewhere, rankings conducted by various agencies purport to provide one overall measure of university quality. This article re-examines some of the data used by university rankers. In so doing, it shows that their information can be repackaged…

The last decade witnessed a spectacular rise in the volume of available textual data. With this new abundance came the question of how to analyze it. In the social sciences, scholars mostly resorted to two well-established approaches, human annotation on sampled data on the one hand (either performed by the researcher, or outsourced to…