Predicting Student's Satisfaction towards Hybrid Learning in Informatics

This paper used regression and moderation approaches to evaluate the student's satisfaction with informatics towards the hybrid learning in their study. Multiple Linear Regression (MLR) identified student satisfaction based on hybrid learning difficulty and benefit ($p < 0.001$). Linear Regression (LR) found hybrid learning benefits impacted the student's satis-faction significantly $(p < 0.001$). Student's $t$-test also revealed that Overall Satisfaction (OS) significantly affected hybrid learning's satisfaction ($p < 0.001$). Analysis of Co-variants (ANCOVA) also proved that hybrid learning's benefit ($p < 0.001$) and OS ($p < 0.05$) significantly influenced student satisfaction. The paper also proved that hybrid learning's benefits positively correlate with student satisfaction (0.596). The slopes of 'Yes' and 'No' are substantially different from one another when the probability value of 0.22 $(p > 0.05$). Hence, no moderator (OS) affects the relationship's strength between the benefit and satisfaction of hybrid learning. The paper also revealed that hybrid learning's difficulty has a negative correlation (-.18), and the benefit of hybrid learning is positively associated with student satisfaction (.66). Implementing a hybrid learning mode during Covid-19 periods significantly impacted student satisfaction and the decision taken by the administration was also meaningful. © 2023 IEEE.

Harvesting Renewable Energy from Foot Pedal Using Rotational Electromagnetic Induction Flywheel

Philippines is one of the highest electricity prices in the ASEAN where harnessing renewable energy using wasted human effort is necessary. The global pandemic COVID-19 is spreading and because of this, establishments have required sanitation. The study's main objective is to Develop a Rotational Electromagnetic Induction Flywheel using Foot Pedal as Actuation to Harvest Renewable Energy. T-test was used to validate the results using the battery percentage of a power bank as the parameter, where there is a significant difference between single and multiple actuations with an attached mechanical dispenser and without. The system was able to harness an average of 0.30992 Watt-hour and 6.11476 Watt-hour in 5 daily trials for single and multiple controlled set-ups without mechanical dispenser respectively. An average of 0.2441 Watt-hour and 5.0027 Watt-hour for single and multiple controlled set-ups with mechanical dispenser correspondingly. Lastly, an average of 3.2924 Watt-hour in 5 daily trials for uncontrolled set-up. © 2023 IEEE.

Yetişkin Bireylerde COVID-19 Korkusu ile COVID-19 Hijyen Davranışları Arasındaki Ílişkinin Belirlenmesi

Objective: This research was carried out as a descriptive and cross-sectional study between January and April 2021 in order to determine the relationship between COVID-19 fear and COVID-19 hygiene behaviors in adults. Materials and Methods: The sample of the research consisted of 1876 individuals who accepted to participate in the online survey with the snowball sampling method and completed the research completely. Research data were obtained with an introductory questionnaire, COVID-19 Fear Scale and COVID-19 Hygiene Behavior Scale. In the analysis of the data, number-percentage calculations, mean, standard deviation, independent t test and ANOVA, Pearson Correlation and Linear regression tests were used. Results: The mean score of the individuals on the COVID-19 Fear Scale was found to be 19.51±.89 and the total mean score of the COVID-19 Hygiene Behaviors Scale was found to be 105.35±18.61. The COVID-19 fear level of the participants;It was determined that gender, education status, working status, place of residence, socio-economic status, individual with chronic disease at home, anxiety due to COVID-19, change in hygiene behavior, thinking that hygiene will prevent COVID-19 explained 21.4%. Variables of age, gender, education status, employment status, marital status, family type, presence of children, place of residence, socioeconomic status, individuals with chronic diseases at home, anxiety due to corona, change in hygiene behavior, thinking that hygiene will prevent corona, COVID-19 Hygiene The level of their behavior;It was determined that 14% explained. Conclusion: As the COVID-19 fear levels of individuals increase, the COVID-19 hygiene behaviors also increas. Amaç: Bu araştırma, yetişkinlerde COVID-19 korkusu ile COVID-19 hijyen davranışları arasındaki ilişkiyi belirlemek amacıyla Ocak-Nisan 2021 tarihleri arasında tanımlayıcı ve kesitsel olarak yapılmıştır. Gereç ve Yöntem: Araştırma verileri, "Veri Toplama Formu”, "COVID-19 Korkusu Ölçeği” ve "COVID-19 Hijyen Davranış Ölçeği” ile elde edilmiştir. Verilerin çözümlenmesinde sayı-yüzde hesaplamaları, ortalama, standart sapma, bağımsız t testi ve ANOVA, Pearson Korelasyon ve Lineer regresyon testleri kullanılmıştır. Bulgular: Bireylerin COVID-19 Korku Ölçeği puan ortalaması 19.51±6.89, COVID19 Hijyen Davranışları Ölçeği toplam puan ortalaması 105.35±18.61 olarak bulundu. Katılımcıların COVID-19 korku düzeyinin;cinsiyet, öğrenim durumu, çalışma durumu, yaşadığı yer, sosyoekonomik durum, evde kronik hastalığı olan birey, COVID-19 nedeniyle endişe, hijyen davranışı değişikliği, hijyenin COVID-19'u engelleyeceğini düşünme değişkenlerinin %21.4'ünü açıkladığı saptanmıştır. Yaş, cinsiyet, öğrenim durumu, çalışma durumu, medeni durum, aile tipi, çocuk varlığı, yaşadığı yer, sosyoekonomik durum, evde kronik hastalığı olan birey, korona nedeniyle endişe, hijyen davranışı değişikliği, hijyenin koronayı engelleyeceğini düşünme değişkenlerinin, COVID-19 Hijyen Davranışları düzeyinin;%14'ünü açıkladığı belirlenmiştir. Sonuç: Bireylerin COVID-19 korku düzeyleri arttıkça, COVID-19 hijyen davranışları da artmaktadır.

Detection of COVID-19 Patients using Speech Recognition with Support Vector Machine' and Comparing with 'K Nearest Neighbour Algorithm'

This research endeavor is focused on identifying patients with the Covid-19 virus via the use of a novel voice recognition technique that makes use of a Support Vector Machine (abbreviated as 'SVM') and compares its accuracy with that of 'K-Nearest Neighbor' (abbreviated as 'KNN'). When it comes to speech recognition, the SVM method is regarded to be group 1, and the KNN method is considered to be group 2, and both groups have a total of 20 samples. The outcomes of these data were analyzed using statistical analysis using a'independent sample T-test,' which has a margin of error of 5% and a pretest power of 80%. At a significance of 0.042 (p 0.05), KNN obtains an accuracy of 87.5% whereas SVM achieves an accuracy of 96.5%. As compared to KNN, the prediction accuracy of Covid-19 employing SVM in novel voice recognition achieves much higher levels of accuracy. © 2023 IEEE.

Working conditions and well-being in UK social care and social work during COVID-19

Summary : Stress and mental health are among the biggest causes of sickness absence in the UK, with the Social Work and Social Care sectors having among the highest levels of stress and mental health sickness absence of all professions in the UK. Chronically poor working conditions are known to impact employees' psychological and physiological health. The spread of the COVID-19 pandemic has affected both the mode and method of work in Social Care and Social Work. Through a series of cross-sectional online surveys, completed by a total of 4,950 UK Social Care and Social Workers, this study reports the changing working conditions and well-being of UK Social Care and Social Workers at two time points (phases) during the COVID-19 pandemic. Findings : All working conditions and well-being measures were found to be significantly worse during Phase 2 (November–January 2021) than Phase 1 (May–July 2020), with worse psychological well-being than the UK average in Phase 2. Furthermore, our findings indicate that in January 2021, feelings about general well-being, control at work, and working conditions predicted worsened psychological well-being. Applications : Our findings highlight the importance of understanding and addressing the impact of the pandemic on the Social Care and Social Work workforce, thus highlighting that individuals, organizations, and governments need to develop mechanisms to support these employees during and beyond the pandemic.

The Impacts of the COVID-19 Pandemic on Doctor of Physical Therapy Students: A National Survey

Supplemental Digital Content is Available in the Text. Introduction.: Since the lockdown in March 2020, the COVID-19 pandemic has inevitably affected all individuals across the world. The purpose of this study was to determine the perceived impacts of the pandemic on doctor of physical therapy (DPT) students and if there were any statistically significant differences based on minority status, gender, or class standing. Review of Literature.: Literature suggested that DPT students experienced negative impacts of the pandemic on academic success and mental health. However, there is a lack of comprehensive understanding of the perceived physical, mental, financial, and academic impacts of the COVID-19 pandemic by physical therapist students nationally. Subjects.: Convenience sampling was used to recruit all students enrolled in physical therapist programs in the United States. Methods.: The research design was a cross-sectional survey administered electronically using the Alchemer survey platform with 12 Likert scale items compiled in the physical, mental, financial, and academic domains. All items were designed to evaluate the perceived impacts of the pandemic on a 5-point scale from 1 (strongly disagree) to 5 (strongly agree). Results.: A total of 1,230 completed responses were received. The mean responses were 3.45 (SD 1.12), 3.48 (SD 0.92), 2.74 (SD 1.03), and 3.33 (SD 0.93) for the physical, mental, financial, and academic domains, respectively. No significant difference was found based on minority status. A statistically significant difference was found in the mental domain, with female students perceiving a more negative impact by the pandemic. First-year students reported a significantly higher negative impact in the physical domain compared with second-year students. The perceived impact in the academic domain was significantly higher for both first- and second-year students than third-year students. Conclusions.: Developing and promoting access to campus and community resources to address the challenges caused by the COVID-19 pandemic is critical to facilitating student success during and after the pandemic.

Learning Performance Indicators a Statistical Analysis on the Subject of Natural Sciences During the COVID-19 Pandemic at the Tulcán District

Learning systems during the COVID-19 period has been modified in terms of methodology strategies as well as teachers' remote teaching emergency approach at primary education and higher education institutions. As a consequence, educators had to limitedly teach the basics from prioritized academic curriculums during the health emergency. Natural Sciences was not an exception, and the majority of educators in this field of study have notably identified low-academic performance during the COVID-19 pandemic. In Ecuador, learning expected results was obtained through the evaluation of performance indicators, so in this research project a statistical analysis was performed using scores for these indicators obtained from Middle School samples of students of the Carchi province, with the aim of identifying significantly affected population strata by the application of remote learning and characteristics leading to low-academic performance. Data gathered was statistically evaluated and the test was calibrated using the Item Response Theory;significative difference among variables and performance indicators were analyzed via students' scores using ANOVA, Pairwise T-Tests, and T-tests. Difference tests were carried out using the weighted score of each student for each indicator as continuous variables and the categorical variables were the internet availability, students' residence location and quintile they belong to. Results proved that there exist significant differences in the student scores depending on the internet availability and the zone where they live, where the academic performance was significantly higher on those students that had stable internet connection in their homes and resided in urban zones during the pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

An Empirical Statistical Research on Digital Reading of College Students Based on Marxism Epistemology

Digital reading by college students has become a basic trend with the development of digitalization and network technology, and its role has become more and more prominent under the influence of COVID-19. From the perspective of Marxism epistemology, this paper conducts a large-scale sample survey and SPSS statistical research. By means of independent sample t-test, variance analysis, multi-corresponding variable analysis and cross-tabulation and other statistical commands, this paper analyzes the pattern, preference and attitude of digital reading among college students. It proposes corresponding countermeasures from three levels of digital content, university library and college students as the subject. © 2022 IEEE.

Influences of Use of Flipped Classroom Models on the Learning Outcomes of Students Majoring in Road and Bridge Engineering Technology

The new "Internet+” teaching mode during the COVID-19 pandemic has guaranteed the smooth learning progress of university students in China. High-efficiency reconstruction of time and space for knowledge teaching and internalization based on informationalized teaching mean is an important approach to online learning. A flipped classroom is a teaching mode that is formed through bottom-up exploration. Combined with teaching practical situations, the flipped classroom realizes the transformation from the teacher-centered mode to the student-oriented mode successfully and has important value to the teaching of professional core courses, which are difficult to be learned. In this study, 80 freshmen majoring in Road and Bridge Engineering Technology at Yellow River Conservancy Technical Institute in Henan Province of China were selected as research objects, and Road Survey Design and Lofting was chosen as the teaching course. Under these circumstances, a teaching experiment comparison was designed. The experimental group used flipped classroom technology based on Attention, Relevance, Confidence, and Satisfaction (ARCS) motivation model theory, while the control group used the traditional teaching mode. Research results demonstrate that before the experiment, the learning outcomes of two groups in Road Survey Design and Lofting were basically consistent (P=0.908>0.05) without obvious differences. After finishing the experiment, the post-test results of the control group have not improved significantly compared with the pre-test results (P=0.0938>0.05). However, the post-test results of the experimental group have improved significantly compared with the pretest results (P < 0.001). The average scores of the experimental group are far higher than that of the control group, thus indicating the evident progress of the experimental group. Noticeable differences in the post-test results between the experimental group and the control group are observed (P < 0.001). The research results are of great significance to enriching the teaching mode of core application courses for engineering majors in university, as they provide evidence that the flipped classroom increases the learning interests and motivation of students and demonstrate the teaching effect of flipped classroom technology in universities © 2023, International Journal of Emerging Technologies in Learning.All Rights Reserved.

Effect of facemasks on speech intelligibility

With the advent of COVID, the wearing of face covering has been obligatory in both medical and everyday life. This paper describes three experiments undertaken to establish the effect of face coverings on speech sound power, speech directivity and speech intelligibility. The experiments used two different approaches: acoustic measurements and word scores. The face coverings assessed were a 'standard blue' surgical mask, a typical fabric mask, a prototype clear mask and a plastic transparent visor. The study showed that non-native English speakers had by far the most difficulty in comprehending English language speech when face coverings were worn during phonetically-balanced word list tests. All the masks were found to noticeably affect speech intelligibility, with the surgical mask having the least detrimental effect. The results are also compared to objective measurements of their physical acoustic characteristics to establish their performance. © 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering. All rights reserved.

Job Stress during the COVID-19 Pandemic amongst Social Workers: A Comparison between Chinese Mainland and Macao

The COVID-19 pandemic may have resulted in front line social workers experiencing job stress, burnout and other psychological distress. Little is known about the work-related stress experienced by Chinese social workers during the pandemic. This study focused on the job stress of social workers from Mainland and Macao. The research aims of this study included: (1) testing whether there is a difference in job stress between social workers from Mainland and Macao during the pandemic and (2) identifying mediating factors that helped explain such regional differences. An online survey collected data from 292 social workers in Mainland China and 108 from Macao in 2020. Mainland participants reported significantly higher job stress than Macao participants. Regional differences in job stress amongst Mainland and Macao social workers were partially attributed to their age and professional role identity. More attention needs to be paid to social workers in Mainland China as they experience higher job stress than their counterparts from Macao. Future research is needed to examine other factors (e.g. job demand and financial compensation) that may contribute to such regional differences.

The Use of Interpreters in Health Centers: A Mixed-Methods Analysis

Health centers serve millions of patients with limited English proficiency (LEP) through highly variable language services programs that reflect patient language preferences, the availability of bilingual staff, and very limited sources of third-party funding for interpreters. We conducted a mixed-methods study to understand interpreter services delivery in federally qualified health centers during 2009–2019. Using the Uniform Data System database, we conducted a quantitative analysis to determine characteristics of centers with and without interpreters, defined as staff whose time is devoted to translation and/or interpreter services. We also analyzed Medicaid-relevant policies' association with health centers' interpreter use. The qualitative component used a sample of 28 health centers to identify interpreter services models. We found that the use of interpreters, as measured by the ratio of interpreter full-time equivalents per patients with LEP, decreased between 2009 and 2019. We did not find statistically significant relationships between interpreter staffing and number of patients with LEP served, or in our examination of Medicaid-relevant policies. Our qualitative analysis uncovered homegrown models with varying program characteristics. Key themes included the critical role of bilingual staff, inconsistent interpreter training, and the reasonably smooth transition to virtual interpretation during COVID-19.

Improved Accuracy in Speech Recognition System for Detection of Covid-19 Using K Nearest Neighbour and Comparing with Artificial Neural Network

The objective of this research is to recognize the speech signals for identifying the Covid-19 using K Nearest Neighbour (KNN) and comparing accuracy with an Artificial Neural Network (ANN). Speech recognition using KNN is considered as group 1 and Artificial Neural Network is considered as group 2, where each group has 20 samples. ANN is a machine learning program in which the input is processed by numerous elements and produces the output based on predefined functions. KNN is defined to find the relations between the query and pick the value closest to the query. These groups were analyzed by an independent sample T-test with 5% of alpha, and 80% of pretest power. ANN and KNN achieve an accuracy of 83.5% and 91.49% respectively (significance < 0.05). This analysis observed that KNN has significantly higher accuracy than ANN. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Improved Accuracy in Speech Recognition System for Detection of COVID-19 using Support Vector Machine and Comparing with Convolution Neural Network Algorithm

The objective of the research aims to detect Covid-19 patients by innovative speech recognition using a Support Vector Machine (SVM) and comparing accuracy with Convolutional Neural Network (CNN). Speech recognition using SVM is considered as group 1 and Convolutional Neural Network is considered as group 2, where each group has 20 samples. A T-test with 95% CI, G-power of 80%, and alpha=0.05 was used to compare the two sets of data. CNN achieves an accuracy of 87.5% and SVM achieves an accuracy of 92.5% with significance value 0.043 (P<0.05). Covid-19 prediction using an innovative speech recognition using SVM achieves significantly better accuracy than CNN. © 2022 IEEE.

Preliminary evaluation of a multicomponent youth development program for siblings separated by foster care: pandemic related impacts to service delivery and youth well-being

A preliminary evaluation of a multicomponent youth development program for siblings in foster care was conducted prior to and during the COVID-19 pandemic. Pretest posttest measures of youth well-being were collected from sixteen youth, caregivers, and caseworkers over a six-month period. Caregivers reported increased internalizing and externalizing behaviors, sibling relationship difficulties, prosocial behavior, and resilience during the study period. Youth reported reduced school engagement, increased resilience, and prosocial behavior. In-person sibling programming was associated with increased prosocial behavior. Virtual sibling programming was associated with lower hyperactivity, increased prosocial behavior, and increased emotional problems. Implications for research and practice are discussed.

Effect of loneliness and sociodemographic, health, COVID-19 pandemic-related factors on depression among older adults

The present study aimed to identify the presence of depression in older adults and the affecting factors during the COVID-19 pandemic. This cross-sectional study was conducted online with 1320 deliberately recruited older adults in Turkey between February and May 2021. The variables were depression, loneliness, fear of COVID-19, and other sociodemographic health variables. In the study, we used the Geriatric Depression Scale, Loneliness Scale, and the Fear of COVID-19 Scale and RLa form including items inquiring information about sociodemographic and COVID-19 related characteristics and health conditions of the participants. In this study, we detected probable-definite depression in 73.8% of the participants. According to the results of multiple logistic regression analysis, we concluded that social and emotional loneliness, increased fear of COVID-19, perceived insufficient income, presence of chronic disease, managing activities of daily living only with assistance, irregular sleep and diet patterns, future anxiety, alcohol use, perception of mental health being negatively affected by the pandemic, and living in regions outside the Mediterranean Region affected the state of probable-definite depression in the participants. Depression was high in older adults during the pandemic. Psychosocial and health promotion interventions for depression risk factors determined from multivariate regression analysis, may enable older adults, who have become more vulnerable due to the restriction measures applied during the COVID-19 pandemic, to be less affected by this period.

Influences of Problem-Based Online Learning on the Learning Outcomes of Learners

Influenced by the COVID-19 pandemic, online learning has become a major learning mode for most university students in China. For highquality online teaching, teachers must optimize the teaching mode and strengthen the enthusiasm of students in classroom learning. In this study, a comparative experiment was carried out based on the course Cross-border E-commerce Customer Services for sophomore E-commerce majors at Huanghuai University in Zhumadian City, Henan Province, China. In the experiment, the teaching effect of the problem-based learning (PBL) mode in higher education was verified and gender differences in learning outcomes of learners who accepted PBL were analyzed. Results showed a significant difference at the 0.01 level between pre and post-test results of the experimental group (t = −11.367, p = 0.000), proving the teaching effect of PBL. The academic performances of the experimental class are significantly better compared with those of the control class, indicating that PBL is more beneficial to improve learning outcomes of students than traditional teaching methods. Gender has significant influences on post-test results at the 0.01 level (p = 0.002 < 0.01). The median of final exam scores of male students is obviously higher than that of female students. Research conclusions can provide important references to test the effectiveness of PBL in learning outcomes of a specific subject, construct a PBL mode that can promote deep learning, and facilitate development of university teaching from knowledge teaching to core quality training of students. © 2023,International Journal of Emerging Technologies in LearningAll Rights Reserved.

Analysis of Physical Fitness Differences among College Students before and after COVID-19

COVID-19 has not only had a profound impact on social and economic development, but also changed social lifestyles and values. Due to the prevention and control of the epidemic, people's demand for physical exercise has been limited to a certain extent, while the epidemic has increased the requirements for individual immunity, forming a contradiction. In this paper, the fitness tests of college students before and after COVID-19 were taken as samples, and the differences of physical tests in 2019 and 2021 were compared by t-test and non-parametric test. The study found that after the epidemic, the body shape of the college students deteriorated slightly, and the physical fitness tests significantly lower after gaining weight. In general, the decline of college students' physical fitness is not obvious after the epidemic, but it is a common phenomenon. Then put forward countermeasures and suggestions of optimizing physical exercise. © 2022 WCSE. All Rights Reserved.