Online-Journals.org (International Association of Online Engineering)
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ChatGPT-Empowered Writing Strategies in EFL Students’ Academic Writing: Calibre, Challenges and Chances
Get PDFChatGPT’s remarkable ability to produce academic texts has generated significant interest in educational and academic circles. This study provides a specific overview of ChatGPT’s current usage and explores its potential applications, limitations, and implications in English academic writing for EFL students, who often face challenges in language proficiency, content organization, and critical thinking. Using a mixed-methods research approach, this study employed a CSE-based questionnaire and focus group interviews to investigate how ChatGPT can empower academic writing strategies (WS) and how respondents perceive its assistance. Data was collected from 60 Chinese university juniors majoring in English. Quantitative data were analyzed using descriptive statistics and regression analysis, while qualitative data underwent thematic analysis. Findings indicate that ChatGPT can help students apply academic WS more effectively by comprehending research trends, generating writing outlines, enriching writing content, synthesizing literature, and refining papers. However, issues such as potential plagiarism, inaccurate output, improper citations, and the digital gap between users and non-users must be addressed. The study suggests that while ChatGPT-empowered writing can better equip academic WS in planning, composing, and revising, respectively, it is crucial to scrutinize the quality of AI-generated texts. Further research will be urgently expected regarding ChatGPT’s long-term impact on academic integrity, the development of educational policies for ethical AI use, and the integration of ChatGPT into pedagogical approaches to enhance EFL students’ writing and critical thinking
Substitutor or Assistant: The Double-Edged Sword Effect of Artificial Intelligence Images on OTPs
Get PDFRecently, the green concept has become integral to education, leading to the rise of paperless online teaching. With the rapid development of online teaching platforms (OTPs) due to the pandemic, studies on user behavior have gained momentum. However, most studies have focused on students’ online learning attitudes and behaviors, neglecting in-depth analysis of teachers’ behaviors on OTPs. OTPs can either assist or substitute teachers, enhancing efficiency but also causing anxiety. This paper proposes reframing OTPs as assistants to reduce teachers’ resistance. We investigate if the OTP image (assistant vs. substitutor) impacts teachers’ satisfaction in a specific online teaching context, exploring its explanatory mechanisms. A study of 2*2 group experiments revealed that teachers were less threatened by the assistant OTP image and thus more satisfied. Experiment 1 confirmed that the OTP image influenced teachers’ willingness to recommend and satisfaction. Experiment 2 again tested the effect of different images of OTP (facilitator vs. substitute vs. control group) on teacher satisfaction, and the pie verified the mediating role of identity threat in this effect. Experiment 3 verified that self-affirmation as a moderating variable mitigates identity threats due to the alternative image of the OTP. Therefore, in the future promotion of AI products, more emphasis should be placed on assisting users rather than completely replacing traditional human hands, thus weakening the identity threat posed by AI products to users. The findings of this study enrich the study on teachers’ attitudes towards OTPs, dissect the sources of users’ (teachers’) satisfaction with OTPs from the perspective of product/brand (OTP) image, and provide guidance on how OTPs can choose the appropriate image positioning and promotional language
Examining the Quality of English Online Learning Using the D&M Information System Success Model
Get PDFThis study addresses the quality issues of university English online learning. The Delone and Mclean (D&M) information system success model (ISSM) was used to explore the impact of online platforms on students’ engagement in English learning. Empirical results indicate that both information and system quality significantly and positively predict students’ intention to use, user satisfaction, and learning engagement. However, although service quality positively influences user satisfaction, it does not reach statistical significance and has a positive impact on usage intention. Both usage intention and user satisfaction serve as mediators in the effects of both information and system quality, while only usage intention acts as a mediator in the effect of service quality on learning engagement. The mediating effect of user satisfaction does not reach significance
Building Skills and Building Community Through Ongoing Virtual Professional Development: The Columbia University School of Social Work’s Award-Winning Annual Online Faculty Development Series
Get PDFThis article shares a case study of an award-winning faculty and staff training series. During AY2018–19, the Columbia University School of Social Work (CSSW) Online Campus launched a five-session virtual Annual Online Faculty Development Series, which recently completed its fifth year. Each year, the series includes five highly interactive 2-hour synchronous sessions. The sessions serve as a forum to share CSSW and Online Campus news and updates, build community, get to know CSSW deans and directors via guest visits, demonstrate and discuss best practices for online teaching, update the community on recent technology developments, and learn from guest presentations about innovations in online education and the field of social work
Creating Positive Perceptions of Aged Communities by Combining Creative Practice and Social Media
Get PDFThis paper represents work in progress with aged communities, on a project to promote positive attributes of experience, wisdom, and leadership to counterbalance the perceived challenges of aging by changing negative perceptions of aged societies. We aimed to encourage positive ageing by harnessing the collaborative creative potential of this demographic through the introduction of concepts around the notion of deliberate creative practice. We wanted to make a case for how these communities are empowered to participate in identifying issues and challenges over a wide spectrum of social and community applications affecting their lifestyles and wellbeing, then generating new ideas to be disseminated through social media platforms
Analyzing the Trends and Global Growth of Energy Harvesting for Implantable Medical Devices (IMDs) Research—A Bibliometric Approach
Get PDFImplantable medical devices (IMDs) play a crucial role in improving individuals’ well-being and ensuring their safety by providing real-time health data monitoring for recovery. The use of energy harvesting (EH) technology has become increasingly popular among researchers because it offers the potential to extend the battery life of IMDs and reduce their weight. This study successfully examined the expansion of EH in the field of IMDs, the distribution of publications across different countries, and the identification of the most influential authors for potential research collaborations. A bibliometric analysis was conducted to evaluate two metrics: performance and science mapping. Data was collected from the Scopus database from the initial publications until October 2023, encompassing 250 articles published in Englishlanguage journals. The titles, keywords, and abstracts of these publications were analyzed and interpreted using VOS Viewer (version 1.6.19). Furthermore, network analysis using VOS Viewer enabled the identification of key research clusters. The findings reveal a continuous increase in EH for research on infectious and parasitic diseases over the 15-year period from 2008 to 2023. The United States and the University of Bern are recognized as the leading contributors to this field, based on their country and institutional contributions, respectively. The author with the most published papers and citations hails from China. Additionally, this study identifies several opportunities for collaboration with countries, institutions, authors, and research hotspots in EH for IMDs that benefit the reader
Context-Aware IoT System Development Approach Based on Meta-Modeling and Reinforcement Learning: A Smart Home Case Study
Get PDFIntegrating context awareness into the Internet of Things systems is essential for enhancing their adaptability to their context, particularly their user preferences and behaviors. This paper proposes an approach to model and develop context-aware self-adaptive IoT systems, capable of adapting their actions according to their users’ preferences. The approach consists of three main axes. The first axis involves establishing an overview of the system architecture that provides a high-level understanding of the various components of a context-aware IoT system. The second axis concerns the creation of a context-aware IoT systems meta-model, encapsulating the essential elements, relationships, and dependencies governing context awareness within the IoT system in a domain-independent manner. The third axis proposes a reinforcement learning reasoning process to enable intelligent decision-making within context- aware IoT systems. To validate the feasibility of the proposed approach, a simulation was conducted using the OpenAI Gym framework to emulate a context-aware smart home system. The results highlight the feasibility of the approach, and its potential to enhance real-life IoT systems’ awareness of their users’ context
Histopathological Image Classification Using Convolutional Neural Networks for Detection of Metastatic Breast Cancer in Lymph Nodes
Get PDFBreast cancer is currently one of the most diagnosed oncological diseases worldwide, with thousands of new cases per year. Early detection and identifying its progression are key to overcoming the mortality rate. A recurrent test, to determine how far the disease has spread throughout the patient’s body, is the histological analysis of the sentinel lymph node near the breast. Although an expert pathologist performs this, it is usually an exhausting and time-consuming task, with a high possibility of error. This work presents a method to detect breast cancer metastasis through histological imaging of sentinel lymph nodes using convolutional neural networks. In this study, the performance of three models DenseNet-121, DenseNet-169 and DenseNet-201 are tested and compared. Experimental results indicated that the accuracy, precision, sensitivity and specificity (97.93%, 97.4%, 97.48% and 98.24%) of DenseNet-201 could reduce pathologist errors during the diagnostic process or serve as a second opinion tool
Real-Time Transcriptionist Based on Artificial Intelligence to Facilitate Learning for People with Hearing Disabilities in Virtual Classes
Get PDFSchools have historically been ill-prepared to cater to the needs of deaf students at the elementary and secondary levels. This leads to communication difficulties that impact the learning process for each individual. During the recent COVID-19 pandemic, educational institutions for deaf students faced difficulties in providing effective teaching to children and youth. It is important to emphasize that education is fundamental for all individuals, without exception, as acquiring literacy skills enables them to lead a more fulfilling life. In this context, our research aims to investigate how the use of a computer tool can enhance communication for deaf students in a virtual environment. The methodology used involved the use of a checklist to gather data from each participant’s evaluation. The post-test yielded favorable results, thanks to the statistical analysis employed in the research. In conclusion, it has been determined that a real-time transcriber facilitates learning, leading to improved educational outcomes for deaf students
The Effect of Twisted Wire Configuration on the Stability of External Fixator: A Biomechanical Study
Get PDFThe Ilizarov fixator is a type of external fixator that is used to treat patients who have suffered injuries from accidents, bone shortening, or nonunion of the bone. The principle behind the Ilizarov fixator is that thin wires (called Kirschner wires) are used to support the bones and connect them to framed rings. Before being fastened to the rings, the wires are tensioned and drilled through the bones. This study suggests using a new parallel wires configuration at the same level on the same ring and two revised versions, which are divergent and convergent models, and compare them with standard wires, 60 angle wires model. All models were designed using SolidWorks, a computer-aided design (CAD) software, and then analyzed in four conditions (axial compression, medial bending, posterior bending, and torsion) with Finite Element Analysis (FEA) using Ansys Workbench 2020 R2. Mechanical testing was conducted to validate the FEA results, A simple model consisting of a single ring, two K-wires, and polylactic acid (PLA) cylinders was utilized in a tensile test. It has been concluded from the results that the parallel model and its improvement have higher stiffness to axial compression, medial bending, and torsion, but a lower posterior bending stiffness, except the divergent model with 8-hole separation which has a relatively acceptable stiffness for posterior bending