Smart learning environments (SLEs) utilize technological advancements to facilitate effective, engaging, and personalized learning experiences. They depend on sensors and advanced connectivity to gather information and make informed decisions. Multisensory Environments (MSEs) naturally align with and enhance the capabilities of SLEs offering new opportunities to enhance learning effectively, an…
As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). This study systematically analyzes the impact of generative AI tools and LLMs on language le…
Soft skills, essential for employability and professional success, are often underemphasised in traditional higher education curricula. This study assesses the effectiveness of Compete!, a serious game developed under the Erasmus+ program, in enhancing students' awareness of key soft skills, including creative problem-solving, effective communication, stress management, and teamwork. The game…
In the higher education classroom, one significant challenge students face is grappling with primary literature. They often need guidance not just to understand the content but to actively engage with it. This article presents a practitioner-based curriculum report featuring three illustrative cases of Structured Reading Groups (SRGs) implemented across undergraduate psychology courses at a reg…
To address poor skill acquisition in online physical education due to a lack of real-time feedback, we developed and evaluated a pose recognition-based system. An 8-week randomized controlled trial study in a university Baduanjin course compared the AI system against a traditional Massive Open Online Course format. Results showed the system significantly enhanced students' movement quality, flu…
A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. The binder-conductive additive phase of these electrodes consists of carbon black, polyvinylidene difluoride binder and graphite particles. For its stochastic 3D modeling, a three-step procedure based on methods from stochastic geomet…
In the automotive industry, the absorption coefficient of a porous material layer is usually measured in an alpha cabin, a reverberant chamber of reduced dimensions where the operational frequency range is limited and the absorbent sample size is typically small. Those characteristics are well adapted to the requirements of automotive acoustics but far from the standard reverberant chambers use…
The implementation of thermally sprayed components in steel manufacturing presents challenges for production and plant maintenance. While enhancing performance through specialized surface properties, these components may encounter difficulties in meeting modified requirements due to standardization in the refurbishment process. This article proposes updating the established coating process for …
Viscoelastic fluids have several applications in industry and technology, which has attracted a lot of investigation into their mathematical models. This paper presents the first-ever verifiable convergent second-order method, with complete theoretical analysis, for one-dimensional viscoelastic flow model. Existing studies have focused on first-order methods and without theoretical analysis. He…
Achieving both high quality and cost-efficiency are two critical yet often conflicting objectives in manufacturing and maintenance processes. Quality standards vary depending on the specific application, while cost-effectiveness remains a constant priority. These competing objectives lead to multi-objective optimization problems, where algorithms are employed to identify Pareto-optimal solution…