Search Results (6)

Current learning and development approaches often struggle to capture dynamic individual capabilities, particularly the skills they acquire informally every day on the job. This dynamic creates a significant gap between what traditional models think people know and their actual performance, leading to an incomplete and often outdated understanding of how ready the workforce truly is, which can hinder organizational adaptability in rapidly evolving environments. This paper proposes a novel dynamic learner-state ecosystem—an AI-driven solution designed to bridge this gap. Our approach leverages specialized AI agents, orchestrated via the Model Context Protocol (MCP), to continuously track and evolve an individual’s multi-dimensional state (e.g., mastery, confidence, context, and decay). The seamless integration of in-workflow performance data will transform daily work activities into granular and actionable data points through AI-powered dynamic xAPI generation into Learning Record Stores (LRSs). This system enables continuous, authentic performance-based assessment, precise skill gap identification, and highly personalized interventions. The significance of this ecosystem lies in its ability to provide a real-time understanding of everyone’s capabilities, enabling more accurate workforce planning for the future and cultivating a workforce that is continuously learning and adapting. It ultimately helps to transform learning from a disconnected, occasional event into an integrated and responsive part of everyday work. Full article

Students with special needs often require more assistance and attention to meet their educational needs. However, schools frequently grapple with a critical shortage of special education teachers and support staff. This shortage of special education teachers can result in limited resources for general and subject teachers (e.g., math, science), making it challenging to provide individualized support to students with special needs. Specifically, subject teachers may struggle to design effective curricular content modifications and accommodations for such students without the guidance and suggestions of special education teachers. Artificial Intelligence (AI) technologies can provide some support for teachers and schools in meeting the needs of students with special needs. Also, AI may help reduce teachers’ workload. In this technology review, we assess the capabilities of Magic School AI (MSAI) in providing accommodations and modifications to assist teachers in streamlining their workload and fostering inclusivity in their classrooms. We examined five functions: text leveler, text scaffolders, assignment scaffolder, exemplar and non-examples, and sentence starters. Additionally, we discuss the limitations of MSAI and conclude by suggesting potential improvements for the system. Full article

Background: Childhood cancer survivors (CCSs) face an increased risk of cardiovascular disease (CVD). This systematic review aims to provide the first synthesis of observational and interventional studies on the relationship between diet and cardiovascular health in CCSs. Methods: A comprehensive search was conducted for studies published between 1990 and July 2023 in PubMed, MEDLINE, CINAHL, Child Development & Adolescent Studies, and Cochrane Library. Eligible studies included observational and interventional studies examining the associations or effects of dietary factors on CVD incidence, cardiac dysfunction, or CVD risk factors in CCSs diagnosed before age 25 years. Results: Ten studies met the inclusion criteria (nine observational and one interventional). Collectively, they comprised 3485 CCSs (male, 1734; female, 1751). The outcomes examined across observational studies included characteristics of obesity, diabetes biomarkers, hypertension indicators, dyslipidaemia biomarkers, and metabolic syndrome. The evidence suggested that greater adherence to healthy diets was associated with lower body mass index, blood pressure, glucose, and triglycerides and higher high-density lipoprotein cholesterol. The 12-week lifestyle intervention study in childhood leukaemia survivors found no impact on obesity indicators. Conclusion: The review results indicate the potentially protective effects of healthy diets. However, the available research remains preliminary and limited, underscoring the need for more rigorous, adequately powered studies. Full article

ChatGPT is a state-of-the-art generative artificial intelligence (AI) chatbot released by OpenAI in 2022. It simulates human conversation and has the capability to generate different texts at various levels of sophistication in near real time depending upon the user’s skill in creating prompts. While concerns have been raised about academic dishonesty and cheating among students, ChatGPT has significant academic potential for education, particularly in the field of language learning. This research explores the potential of ChatGPT in supporting and empowering Chinese language learners (CLLs) whose first language is English to enhance their writing skills, mainly focusing on the research question: Is there a functional relation between Chinese language learners from low‐income families using ChatGPT after school twice a week and improvements in their Chinese writing? Four participants with varying language proficiency levels were recruited, and their data were analyzed using an ABA design. Over three weeks, they utilized ChatGPT twice a week for approximately 20 min each after school. The students’ writing scores, writing samples, and learning reflections were used to triangulate the data and enhance the data’s trustworthiness. The findings indicate that (1) each participant made a noticeable improvement in their Chinese writing scores during the intervention and reversal phases; (2) ChatGPT played a crucial role in correcting errors and facilitating the development of complete sentence structures; and (3) the students expressed a sense of empowerment through their interactions with ChatGPT. These findings highlight that ChatGPT shows promise as a supportive tool for CLLs from low-income families, reducing educational inequality and promoting equitable access to language learning opportunities. Full article

Since late 2022, dozens of YouTube channels focusing on a diverse array of topics related to language learning with generative AI tools such as ChatGPT have rapidly emerged. This study explores the implementations and perspectives of YouTube content creators who now constitute an increasingly important segment of the ecosystem of language teaching and learning. A mixed methods netnographic approach was employed, combining qualitative and quantitative techniques. A total of 140 videos were identified and analyzed, and an in-depth content analysis was conducted to uncover underlying themes. Four main categories of creators were identified: educators, learners, technology professionals, and e-learning providers. Educators, especially English and Japanese teachers, were the majority, followed by learners and technology field professionals. This study highlights the benefits, drawbacks, and concerns associated with the integration of AI tools in language learning. By examining this rapidly evolving phenomenon, the study contributes towards an understanding of the role and impact of generative AI tools in language education. Full article

Membrane support properties influence the performance of thin-film composite nanofiltration membranes. We fabricated several polysulfone (PSf) supports. The physicochemical properties of PSf were altered by adding polyethylene glycol (PEG) of varying molecular weights (200–35,000 g/mol). This alteration facilitated the formation of a thin polyamide layer on the PSf surface during the interfacial polymerization reaction involving an aqueous solution of piperazine containing 4-aminobenzoic acid and an organic solution of trimesoyl chloride. Attenuated total reflectance-Fourier transform infrared validated the presence of PEG in the membrane support. Scanning electron microscopy and atomic force microscopy illustrated that the thin-film polyamide layer morphology transformed from a rough to a smooth surface. A cross-flow filtration test indicated that a thin-film composite polyamide membrane comprising a PSf support (TFC-PEG20k) with a low surface porosity, small pore size, and suitable hydrophilicity delivered the highest water flux and separation efficiency (J = 81.1 ± 6.4 L·m⁻²·h⁻¹, R_Na2SO4 = 91.1% ± 1.8%, and R_NaCl = 35.7% ± 3.1% at 0.60 MPa). This membrane had a molecular weight cutoff of 292 g/mol and also a high rejection for negatively charged dyes. Therefore, a PSf support exhibiting suitable physicochemical properties endowed a thin-film composite polyamide membrane with high performance. Full article