Background: The 2018 Declaration of Astana acknowledges the need to include traditional, complementary and integrative health care (TCIH) knowledge and technologies within primary health care. The World Health Assembly has also called member states to integrate TCIH into national healthcare systems. However, little attention has been given to…

This study explores the potential to enhance the performance of convolutional neural networks (CNNs) for automated scoring of kinematic graph answers through data augmentation using Deep Convolutional Generative Adversarial Networks (DCGANs). By developing and fine-tuning a DCGAN model to generate high-quality graph images, we explored its…

Background: Training the memorization of declarative knowledge requires the repetitive presentation of various forms of factual questions to learners. Educational games designed for this purpose should offer activities that are both tailored to individual learners and varied to prevent boredom. Whilst the Technology-Enhanced Learning (TEL)…

In educational systems, predictive models face significant challenges during initial deployment and when new students begin to use them or when new exercises are added to the system due to a lack of data for making initial inferences, often called the cold start problem. This paper tests logitdec and logitdecevol, "evolutionary" features…

"Internet plus Music Education" has the characteristics of full-scene learning ecology, data-driven model innovation, and immersion experience upgrade, and the exploration of educational metauniverse and the breakthrough of educational big model have become an important development trend, and the industrial ecology is also undergoing…

Across Europe, university governance models are diverse and changing, but how they approach inclusiveness, collaboration and competences increasingly informs institutional transformation and societal impact. This report explores the evolving landscape of university governance in Europe, drawing on data from the latest edition of EUA's Autonomy…

Research suggests that generative AI (GAI) responds to divergent thinking (DT) prompts with multiple ideas, some of which seem to be original. The present investigation administered 55 DT tasks to three GAI services (Bard, GPT 3.5, and GPT 4.0). Instead of examining individual responses, an Idea Density algorithm was used to assess the output.…

Cognitive diagnosis models (CDMs) are widely used to assess individuals' latent characteristics, offering detailed diagnostic insights for tailored instructional development. Maximum likelihood estimation using the expectation-maximization algorithm (MLE-EM) or its variants, such as the EM algorithm with monotonic constraints and Bayes modal…

This report shows that districts can use data they already routinely collect to predict which students will become chronically absent. Existing work to predict absenteeism in advance either is academic and too challenging for districts to use themselves or uses proprietary systems that are not publicly accessible. Accordingly, in this report, the…

Generalized structured component analysis (GSCA) is a multivariate method for specifying and examining interrelationships between observed variables and components. Despite its data-analytic flexibility honed over the decade, GSCA always defines every component as a linear function of observed variables, which can be less optimal when observed…

Environmental, social, and governance (ESG) considerations are garnering increasing interest from various stakeholders. Nevertheless, the impact of ESG evaluation policies--whether voluntary or mandatory--are complex, particularly in competitive markets. Consequently, this study develops a game-theoretic model to investigate the propensity of…

Discrete time models, one linear and one non-linear, are investigated, both with a herbivore species that consumes a basal food source species. Results are presented for coexistence of the species and to illustrate chaotic behaviour as parameters are varied in the non-linear model. The results indicate the benefit of fertilization in terms of the…

The COVID-19 pandemic, like past historical events such as the Vietnam War or 9/11, will shape a generation. Mathematics educators can seize this unprecedented opportunity to teach the principles of mathematical modeling in epidemiology. Compartmental epidemiological models, such as the SIR (susceptible-infected-recovered), are widely used by…

The clustered observational study (COS) design is the observational study counterpart to the clustered randomized trial. In a COS, a treatment is assigned to intact groups, and all units within the group are exposed to the treatment. However, the treatment is non-randomly assigned. COSs are common in both education and health services research. In…

This research explores the process of a Participatory Research (PR) project that brought together university researchers with museum practitioners to create reflective tools that can be used to better understand real practical challenges. This project followed Bourke's (2009) definition of PR, viewing the process as a collaborative endeavour…