Online-Journals.org (International Association of Online Engineering)
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Analyzing Identity Storytelling for On-site Learning in Museums: A Comparative Study of 3 City Museums with an Identity Education Framework
This research investigates the specific designs of on-site identity storytelling in city museums, made of three case studies with an Identity Education (IdEd) framework proposed in an early conference paper by the author. Conclusions of the case studies are reached on how the city museums take advantage of different contextual factors to engage the visitors of five motivational types, whether there is any gap between the target identity expected by the city and the identity narratives presented by the city museum, and if any, how huge the gap is. The subsequent discussion, comparing the three cases, makes this research a comparative study and provides suggestions for each city museum. In general, this research sets an example of how the IdEd framework could be applied to the evaluation of on-site learning materials and opportunities in museums, thereby helping better the instructional design on the part of curators and offering guidelines for observing the museum visitors’ learning experiences in future field studies with similar educational concerns
Ischemic Stroke Classification Using VGG-16 Convolutional Neural Networks: A Study on Moroccan MRI Scans
This study presents a comprehensive exploration of deep learning models for precise brain ischemic stroke classification using medical data from Morocco. Following the OSEMN approach, our methodology leverages transfer learning with the VGG-16 architecture and employs data augmentation techniques to enhance model performance. Our developed model achieved a remarkable validation accuracy of 90%, surpassing alternative state-of-theart models (ResNet50: 87.0%, InceptionV3: 82.0%, VGG-19: 81.0%). Notably, all models were rigorously evaluated on the same meticulously curated dataset, ensuring fair and consistent comparisons. The investigation underscores VGG-16’s superior performance in distinguishing stroke cases, highlighting its potential as a robust tool for accurate diagnosis. Comparative analyses among popular deep learning architectures not only demonstrate our model’s efficacy but also emphasize the importance of selecting the right architecture for medical image classification tasks. These findings contribute to the growing evidence supporting advanced deep learning techniques in medical imaging. Achieving a validation accuracy of 90%, our model holds significant promise for real-world healthcare applications, showcasing the critical role of cutting-edge technologies in advancing diagnostic accuracy and the transformative potential of deep learning in the medical field
A Flexible Practicum Model on Education: Hybrid Learning Integrated Remote Laboratory Activity Design
This study’s objective was to create a hybrid learning-integrated remote laboratory model with validity and practicality. This model has four learning spaces, namely live synchronous, virtual synchronous, self-paced asynchronous, and collaborative asynchronous, so it can support flexible learning. Besides that, this learning model is also based on cognitivism, connectivism, constructivism, behaviourism learning theories and Bloom’s digital taxonomy. The hybrid learning integrated remote laboratory model consists of six syntaxes: 1) issue; 2) investigation; 3) team discussion to solve problems; 4) experiment using a remote laboratory; 5) analysis and evaluation; and 6) explore new solutions. Focus group discussions (FGD) were used to collect high-quality data by seven experts in learning models, vocational education, language and technology. The hybrid learning-integrated remote laboratory model quality analysis used Aiken’s V. The result showed that the hybrid learning integratedremote laboratory model content is valid, with a validity value of 0.87. The practicality analysis result showed that the average percentage of the assessments from lecturers and students was 88.16%, so it can be concluded that it has a high validity value and is very practical
An Algorithm for the Estimation of Hemoglobin Level from Digital Images of Palpebral Conjunctiva Based in Digital Image Processing and Artificial Intelligence
Anemia is a common problem that affects a significant part of the world’s population, especially in impoverished countries. This work aims to improve the accessibility of remote diagnostic tools for underserved populations. Our proposal involves implementing algorithms to estimate hemoglobin levels using images of the eyelid conjunctiva and a calibration label captured with a mid-range cell phone. We propose three algorithms: one for calibration label segmentation, another for palpebral conjunctiva segmentation, and the last one for estimating hemoglobin levels based on the segmented images from the previous algorithms. Experiments were performed using a data set of children’s eyelid images and calibration stickers. An L1 norm error of 0.72 g/dL was achieved using the SLIC-GAT model to estimate the hemoglobin level. In conclusion, the integration of these segmentation and regression methods improved the estimation accuracy compared to current approaches, considering that the source of the images was a mid-range commercial camera. The proposed method has the potential for mass screening in low-income rural populations as it is non-invasive, and its simplicity makes it feasible for community health workers with basic training to perform the test. Therefore, this tool could contribute significantly to efforts aimed at combating childhood anemia
Safeguarding Vascular Health: Unleashing the Potential of Smartphone Early Warning Systems to Elevate Phlebitis Prevention in IV Infusion Therapy
Intravenous (IV) infusion is a pervasive medical intervention, administered to approximately 90% of hospitalized patients. Phlebitis, characterized by inflammation of the veins resulting from infusion, stands as a prevalent complication, ranking fourth among hospitalacquired infections globally. This research investigates the efficacy of a Smartphone Early Warning System (EWS) display in mitigating the incidence of phlebitis within the Safa treatment room at Aisyiyah Hospital. Employing a pre-experimental research design with a Static-group Comparison approach, 16 respondents were allocated to treatment and control groups. The Mann-Whitney Test, a statistical analysis, unveiled a significant difference (P Value = 0.001 < 0.05) in phlebitis incidence between the treatment group, utilizing the Smartphone EWS display, and the control group, which relied on conventional monitoring methods. Notably, the average rank of phlebitis incidence in the control group (21.12) exceeded that in the treatment group (9.78). This study sheds light on the potential of the Smartphone EWS display to curtail phlebitis during infusion, emphasizing its role in advancing nursing care quality through real-time monitoring and early prevention strategies
Investigating Canadian Engineering Students’ Perceptions of Graduate Attributes: Frequency, Criticality, and Relative Importance
This study investigates the perceptions of Canadian engineering students regarding the frequency and criticality of the 12 graduate attributes (knowledge, skills, values, and behaviors that engineering students are expected to demonstrate upon graduation) outlined by the Canadian Engineering Accreditation Board (CEAB). This study aims to assist engineering educators in gaining a better understanding of students’ expectations regarding how engineering competencies will be demonstrated in practice. This information can guide the improvement of engineering curricula and help engineering programs meet accreditation requirements for continuous enhancement. Descriptive and test statistics were used to analyze a quantitative survey administered to 340 undergraduate engineering students at a large Canadian university. Findings suggest that the students perceived the frequency and criticality of most graduate attributes differently. Individual and teamwork, communication, professionalism, lifelong learning and engineering tools, were viewed as more frequent than critical, while ethics and equity, impact of engineering, investigation, and design were perceived as more critical than frequent. The study also found that communication, individual and teamwork, and problem analysis were perceived as the graduate attributes with the highest relative importance (frequency multiplied by criticality), which is consistent with the literature
Analysing IoT Digital Education: Fostering Students’ Understanding and Digital Literacy
This study aims to develop effective strategies for enhancing the digital skills of students specialising in information technology (IT). The study’s relevance is justified by the necessity to adjust educational methods to the dynamic development of the Internet of Things (IoT) and digital technologies in general. The object of the study is students at Astana IT University who are studying IT. The experimental group (EG) trains using IoT-integrated digital educational materials (DEMs), while the control group (CG) receives traditional training. Since existing research often omits the synergy between IoT and educational methods, creating a gap in understanding the effectiveness of integrated educational resources, this study applies research methodology, including literature analysis, experimentation, and statistical data analysis. The research results are verified using statistical methods such as the Shapiro-Wilk normality test and F-test. Analysing the mean scores in the experimental and CGs helps measure students’ progress in developing digital skills. The study aims to determine the effectiveness of IoT-integrated DEMs in enhancing students’ digital skills and to provide a comprehensive understanding of the influence of these educational approaches on IoT learning. The findings will significantly improve educational programs and methodologies in the IT domain in line with current technological advancements
Critical Thinking and Digital Competence in College Students: A Cross-Sectional Study
This research explores the intricate relationship between critical thinking and the cultivation of essential skills, competencies, and knowledge crucial for effective learning and digital fluency among university students. The backdrop of health emergencies has thrust students into unfamiliar terrain, necessitating the discernment of valuable information from the superfluous within the digital landscape. This study, specifically focusing on students enrolled at a university in northern Peru, adopts a non-experimental, correlational, and cross-sectional research design. The sample, selected through a non-probabilistic method, comprises 218 students. The survey instrument used encompasses 30 questions related to critical thinking and 25 questions concerning digital competence, each offering response options on a 4- to 5-point scale. A comprehensive analysis encompassed both the substantive and dialogic dimensions of critical thinking, and within digital competence, the dimensions included learning, informational, communicative, digital, and technological cultures. The findings underscore a remarkably high level of positive correlation between these variables (0.96). In summary, digital competence emerges as a complementary pillar that reinforces and fosters critical thinking within the realm of lifelong learning
Spanish Doctoral Dissertations on the Properties of Materials in Engineering
We present a bibliometric study of engineering doctoral dissertations focusing on the properties of materials. The study exhaustively examines the production of doctoral theses on material properties in the field of engineering at Spanish universities from 1977 to 2022. The main objective is to analyse the volume and temporal distribution of these theses, explore their production by authors and directors considering gender, and identify the most common descriptors in the research. Technological innovation and progress in engineering materials are essential for social welfare, economic competitiveness, and international cooperation, highlighting the significance of these studies. The results reveal a total of 508 valid theses after a meticulous filtering process, with a notable increase in production post-1998, particularly during 2011–2020. The study highlights the limited presence of women in both authorship and direction of these, indicating male dominance in the field. However, there is an increasing trend of female participation in these academic areas. This study offers detailed insights into the trends and composition of doctoral research in materials engineering in Spain, pointing to important gender dynamics and research themes
Improving Security and Environmental Awareness through Game-Based Learning with Minecraft
This paper presents an innovative educational approach centered on the use of the game Minecraft to shape attitudes and develop knowledge in young people. The Children’s University summer camps, although they revolve around various subjects, share a common goal: to enhance environmental and safety awareness and foster technological interest among younger generations. These camps enable students from participating elementary schools to learn interactively about key areas such as sustainable energy sources, information protection, and security in buildings. In the virtual realm of Minecraft, players encounter real-life challenges that demand the utilisation of their creativity and problem-solving abilities. The effectiveness of the camps was measured through questionnaire surveys. 33.3% of participants felt the knowledge acquired at the camp was very useful, and 38.9% felt it was useful for their future studies or careers. 55.6% of the participants felt that their problem-solving skills and creativity had greatly improved during the camp, while 27.8% noticed a less significant improvement in these skills. The camps were characterised by an atmosphere of cooperation and openness. The results of questionnaire surveys confirmed the effectiveness of the camps, not only in terms of improving environmental and safety awareness but also in terms of fostering creative work through cooperation