Co-creation constitutes a novel pedagogical approach for enhancing teaching and learning in higher education. When students and staff collaborate to improve curriculum, pedagogical resources, and the development of students' roles as peer-mentors or teaching assistants, it has led to increased learning outcomes, more inclusive practices, empowered…

Higher education staff and students are beginning to emerge from the liminal space created by the exponential rise in generative artificial intelligence technologies such as large language models. Both groups exhibit a low or developing understanding of the issues related with the use of such tools. On one hand, staff in many institutions are…

In educational assessments, detecting aberrant test-taking behaviors is crucial for ensuring test validity and reliability. We propose a deep learning method based on a one-dimensional convolutional neural network (1D-CNN) combined with a sliding window technique, and detect aberrant behaviors by analyzing responses and response times. To validate…

This study investigates the promotion of pedagogical content knowledge for simulations and mathematical modelling with digital tools among pre-service teachers. This knowledge can be described as modelling-specific TPaCK in the context of digital tools. In a quasi-experimental design, three groups of pre-service teachers (N = 230) were analysed…

The aim of this study was to test the mechanisms that foster innovative behavior in small firms. We propose a model in which small business entrepreneurs, motivated by personal value preferences, shape the work environment for their employees by providing them with job autonomy, which in turn fosters their innovative behavior at work. The…

Religious education is crucial for equipping learners to distinguish official doctrine from non-official statements within their faith traditions. This qualitative study examines the effectiveness of Decision-Based Learning (DBL) as a tool to enhance student ability to discern between doctrine that falls within and without a faith's official…

Models are essential in science and therefore in scientific literacy. Therefore, pupils need to attain competency in the appropriate use of models. This so-called model--methodical competence distinguishes between model competence (the conceptual part) and modelling competence (the procedural part), wherefrom a definition follows a general…

In 2019, the Centers for Disease Control and Prevention's (CDC's) Youth Risk Behavior Survey found that 8% of youth in grades 9-12 reported being in a physical fight one or more times in the 12 months preceding the survey, with more than 7% reporting being threatened or injured with a weapon on school property. Homicide is the 3rd leading cause of…

Academic institutions today are experiencing a legion of security risks that are increasingly impeding their mission of producing high-quality graduates, guarding reason and educational integrity, and ultimately advancing human civilisation. The Enterprise Security Risk Management (ESRM) model represents a potential solution to the dynamic threats…

Extreme response style (ERS), the tendency of participants to select extreme item categories regardless of the item content, has frequently been found to decrease the validity of Likert-type questionnaire results. For this reason, various item response theory (IRT) models have been proposed to model ERS and correct for it. Comparisons of these…

Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…

The world's move to a global economy has an impact on the high rate of student academic failure. Higher education, as the affected party, is considered crucial in reducing student academic failure. This study aims to construct a prediction (predictive model) that can forecast students' time to graduation in developing countries such as Indonesia,…

Difficulty in visualizing anatomical structures has been identified as a challenge in anatomy learning and the emergence of three-dimensional printed models (3DPMs) offers a potential solution. This study evaluated the effectiveness of 3DPMs for learning the arterial supply of the head and neck region. One hundred eighty-four undergraduate medical…

When measuring latent constructs, for example, language ability, we use statistical models to specify appropriate relationships between the latent construct and observe responses to test items. These models rely on theoretical assumptions to ensure accurate parameter estimates for valid inferences based on the test results. This dissertation…

Purpose: Many studies using machine learning (ML) in speech, language, and hearing sciences rely upon cross-validations with single data splitting. This study's first purpose is to provide quantitative evidence that would incentivize researchers to instead use the more robust data splitting method of nested k-fold cross-validation. The second…