ABSTRACT
Assessing e-learning readiness is crucial for educational institutions to identify areas in their e-learning systems needing improvement and to develop strategies to enhance students' readiness. This paper presents an effective approach for assessing e-learning readiness by combining the ADKAR model and machine learning-based feature importance identification methods. The motivation behind using machine learning approaches lies in their ability to capture nonlinearity in data and flexibility as data-driven models. This study surveyed faculty members and students in the Economics faculty at Tlemcen University, Algeria, to gather data based on the ADKAR model's five dimensions: awareness, desire, knowledge, ability, and reinforcement. Correlation analysis revealed a significant relationship between all dimensions. Specifically, the pairwise correlation coefficients between readiness and awareness, desire, knowledge, ability, and reinforcement are 0.5233, 0.5983, 0.6374, 0.6645, and 0.3693, respectively. Two machine learning algorithms, random forest (RF) and decision tree (DT), were used to identify the most important ADKAR factors influencing e-learning readiness. In the results, ability and knowledge were consistently identified as the most significant factors, with scores of ability (0.565, 0.514) and knowledge (0.170, 0.251) using RF and DT algorithms, respectively. Additionally, SHapley Additive exPlanations (SHAP) values were used to explore further the impact of each variable on the final prediction, highlighting ability as the most influential factor. These findings suggest that universities should focus on enhancing students' abilities and providing them with the necessary knowledge to increase their readiness for e-learning. This study provides valuable insights into the factors influencing university students' e-learning readiness.
ABSTRACT
Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio OR=5.618, 95% confidence interval CI) 2.136-14.776, P0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.
ABSTRACT
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different affections in various head poses. This study proposed a dual-source data approach to solve the problem. Facial expression and head pose are two typical data sources that can be captured from online learning videos. The current study collected a dual-source data set of facial expressions and head poses from an online learning class in a middle school. A deep learning neural network using AlexNet with an attention mechanism was developed to verify the syncretic effect on affective computing of the proposed dual-source fusion strategy. The results show that the dual-source fusion approach significantly outperforms the single-source approach based on the AC recognition accuracy between the two approaches (dual-source approach using Attention-AlexNet model 80.96%;single-source approach, facial expression 76.65% and head pose 64.34%). This study contributes to the theoretical construction of the dual-source data fusion approach, and the empirical validation of the effect of the Attention-AlexNet neural network approach on affective computing in online learning contexts.
ABSTRACT
Virtual online teaching was adopted at the Iraqi educational institutions: schools and universities when COVID-19 break out. It was the only alternative to revival the education sector after locking down schools and universities by the condition of the quarantine. The scenario of locking down schools and universities after the spread of COVID-19 pandemic pushed stakeholders and decision makers to switch the educational process to the online mode (Thi1 &Minh, 2021). This sudden shift arose many issues and challenges which was faced by both teachers as well as learners, soon questions about the validity and authenticity of the educational process and outcomes were raised. The current study seeks to uncover hidden issues and challenges which English language teachers at Diyala University encounter at this critical period 2019-2022. A semi-structured interview was utilized as the instrument of this small scale qualitative and descriptive study. The qualitative raw data obtained from the interview transcripts were thematically coded and analyzed. The finding were interpreted in two directions: first: failure of the new online teaching process in obtaining the desired educational outcomes outlined by the ministries of education and higher education due to several reasons: uncontrolled examination session which led to student cheating and resulted in unauthentic grading marks. In addition to internet connection issues which is added to the teachers burden and affect negatively EFL teaching process. Secondly: it was proven that online teaching can be beneficial in the sense that it can save time and effort if new strategies of assessment were adopted, intensive training courses for teachers as well as students were applied, in addition to providing good internet service for both student and teacher. © 2023 Otjivanda Presse.Essen. All rights reserved.
ABSTRACT
Mobile application developers rely largely on user reviews for identifying issues in mobile applications and meeting the users' expectations. User reviews are unstructured, unorganized and very informal. Identifying and classifying issues by extracting required information from reviews is difficult due to a large number of reviews. To automate the process of classifying reviews many researchers have adopted machine learning approaches. Keeping in view, the rising demand for educational applications, especially during COVID-19, this research aims to automate Android application education reviews' classification and sentiment analysis using natural language processing and machine learning techniques. A baseline corpus comprising 13,000 records has been built by collecting reviews of more than 20 educational applications. The reviews were then manually labelled with respect to sentiment and issue types mentioned in each review. User reviews are classified into eight categories and various machine learning algorithms are applied to classify users' sentiments and issues of applications. The results demonstrate that our proposed framework achieved an accuracy of 97% for sentiment identification and an accuracy of 94% in classifying the most significant issues. Moreover, the interpretability of the model is verified by using the explainable artificial intelligence technique of local interpretable model-agnostic explanations. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Rapid and continuous changes in digital technologies have changed both classroom practices and teacher profiles in education. It can be argued that a new context of teaching may lead some teachers to develop a different teacher identity in order to meet the needs of the era. Within this perspective, this case study attempts to explore the impacts of Information and Communication Technologies (ICT) revolution in education on teachers' professional identity through the lens of three English instructors from three different contexts in Turkey. The study particularly focuses on reflections of teachers during the pandemic. As a theoretical framework, the study adopts Wenger's (1997) social theory of learning and, within this framework, it discusses these teachers' professional identities in relation to their ICT usage. In particular, three modes of belonging, Engagement, Imagination and Alignment, are underlined. A qualitative approach is employed based on the written history documents of the participants and semi-structured interviews as data collection tools. The findings are gathered with a deductive thematic analysis, and they illustrate that teachers have some external and internal difficulties regarding their ICT usage, and they form a new shape of professional identity mainly through collaboration, community expertise and contributing new ideas in their school contexts. Although the use of new digital technologies mostly enables them to adopt a positive and modern teacher identity in their teaching contexts, it also leads some of them to sometimes question their teacher identity due to their limited ICT knowledge and competence. Thus, the study suggests some implications both for language teachers to invest in their digital identities, and for school administrations to create a friendly atmosphere where the community of expertise can be shared freely among teachers.
ABSTRACT
This chapter illustrates how the change to a virtual setting challenged students' social connectedness and sense of belonging. It demonstrates how students found a way to build social connectedness in a virtual setting that reinforced their sense of community. The chapter discusses how Students of Color experienced the COVID-19 interruption. It offers insights into whether thriving in college is even possible for students when their means of creating community have been disrupted. At the University of Utah, the detachment was experienced by students in their interactions with faculty and their relationships with their friends, peers, and classmates. The closing of campus and the shift to online learning also limited students' social connectedness with friends, classmates, and peers. Students also relied on new communities to gain motivation and achieve academically. University employees were also a part of students' relational communities. Some students created a strong emotional connection with staff members, such as advisors and student affairs professionals. The pandemic and the resulting educational changes added another layer of complexity to the academic experiences of Students of Color. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
This study explores the online education action for defeating COVID-19 in China from the perspectives of the system, mechanism and mode. In particular, the policy development of online education in China during the epidemic includes the education informatization policy, the online education system, and the online education mechanism in China. The online education and teaching mode during the epidemic involve the synchronous live class-based teaching mode, asynchronous recording and broadcasting teaching mode, online flipped classroom teaching mode, and online tutoring-based teaching mode. Both characteristics and trends of online education in China during the epidemic have been explored in this study. In addition, the problems, discussions and remarks are also offered.
ABSTRACT
Children are one of the groups most influenced by COVID-19-related social distancing, and a lack of contact with peers can limit their opportunities to develop social and collaborative skills. However, remote socialization and collaboration as an alternative approach is still a great challenge for children. This paper presents MR.Brick, a Mixed Reality (MR) educational game system that helps children adapt to remote collaboration. A controlled experimental study involving 24 children aged six to ten was conducted to compare MR.Brick with the traditional video game by measuring their social and collaborative skills and analyzing their multi-modal playing behaviours. The results showed that MR.Brick was more conducive to children's remote collaboration experience than the traditional video game. Given the lack of training systems designed for children to collaborate remotely, this study may inspire interaction design and educational research in related fields. © 2023 ACM.
ABSTRACT
Higher education has been (re)shaped by the Covid-19 pandemic in ways which have left both indelible and invisible marks of that period. Drawing on relevant literature, and informed by an exchange catalysed through a visual narrative method, authors from four European universities engage with two reflective questions in this article: As academics, what were our experiences of our practice during the lockdown periods of the Covid-19 pandemic? What might we carry forward, resist or reimagine in landscapes of academic practice emerging in the post-Covid future? The article explores how academics experienced and demonstrated resilience and ingenuity in their academic practice during that turbulent time. Particular insights include entanglements of the personal and professional, and the importance, affordances and limitations of technology. In addition, the authors reflect on some of the ongoing challenges exacerbated by the pandemic, such as education inequalities. The article concludes by reprising the key points about what marks are left behind in the post-Covid present, and how these relate to the future in which relational pedagogy and reflexivity are entangled in the ways in which we cohabit virtual and physical academic spaces. [ FROM AUTHOR] Copyright of London Review of Education is the property of UCL Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
This report uses Spring 2022 data from nationally representative surveys of principals and math teachers in kindergarten through grade 12 (K-12) to explore students' opportunities to prepare for and take advanced math. The authors found that small high schools, high schools in rural areas, and high schools that predominantly serve students from historically marginalized communities tend to offer fewer advanced math courses (e.g., precalculus, Advanced Placement math courses) and that uneven access to advanced math begins in middle school. K-12 teachers who work in schools that predominately serve students living in poverty are more likely to report skipping standards-aligned content and replacing the skipped content with concepts from previous grade levels. Also, more than half of K-12 math teachers said they need additional support for delivering high-quality math instruction, especially teachers who work in schools that serve predominantly high-poverty students. In the wake of the disproportionate impacts of the COVID-19 pandemic on students living in poverty and students of color, these results highlight a critical need for resources to support teachers and to increase student access to advanced courses. [For technical information about the surveys and analysis in this report, see "Learn Together Surveys. 2022 Technical Documentation and Survey Results. Research Report. RR-A827-9" (ED626092).]
ABSTRACT
This paper investigates the impact of digital reading during educational disruption on science and engineering students' learning experience. Before the pandemic, some studies explored whether university students preferred using printed or digital resources for their academic readings. Amidst the pandemic, online learning became essential. Several studies showed students' preference for printed text. This paper extends a pilot study that was conducted during the first COVID-19 wave in China. A survey consisting of Likert questions and open questions was designed using MS-Forms. The survey was shared with the science and engineering students in Years 2–4 (Levels 1–3) of their study at SWJTU-Leeds Joint School, Southwest Jiaotong University in Chengdu, China. This covered students from four undergraduate programs: Civil Engineering with Transport, Electronic and Electrical Engineering, Mechanical Engineering, and Computer Science. In total, 223 students participated in this study. The survey was anonymous and was made available to students for a month. The participation rate is nearly 27%. Findings indicate that the behavior of science and engineering students toward digital reading was different than other majors, and it is generally favorable. The necessity for online learning during educational disruption has encouraged some students to develop their digital reading skills. © 2023 by the authors.
ABSTRACT
Background: This study aims to evaluate the mental health status of children, adolescents and their parents during the first year of COVID-19 pandemic in Belgium. Method(s): Analysis compared results before and during the second national lockdown, which started on November 2nd 2020. A cross-sectional online survey was conducted between May 2020 and April 2021. Result(s): Two hundred and eighteen adults and 273 children fully completed the survey. Almost one in five children (17.9%) presented moderate-to-severe scores of depression. Adolescents presented a higher level of depression than children (p = 0.007). The rate of moderate-to-severe depression scores (10.8% to 21%, p = 0.007) and internalized symptoms increased during the second lockdown (p < 0.001). Parents' depression (p < 0.001) and anxiety (p = 0.027) levels also increased during the second lockdown. Logistic regression showed that the use of psychotropic medication in parents and parents' depression scores were risk factors for children to have worse depression scores. Conclusion(s): The second lockdown appears to worsen the effects of the pandemic on children's and parents' mental health. There is a need to implement specific interventions targeting both children/adolescents and their parents to support them during lockdown periods and improve mental health outcomes.Copyright © 2022, The Author(s).
ABSTRACT
Under the Chinese "Zero-COVID” policy, many laborers were forced out of work. Participating in educational compensation can effectively help unemployed laborers achieve re-employment. This paper selected Jining, Shandong Province, as the research area, analyzed the data using a questionnaire survey and key interviews, and observed factors that affect and change willingness to receive educational compensation (WTEC) and the willingness to accept the training duration (WTTD) of unemployed laborers. The study found that 77.78% of unemployed laborers are willing to receive educational compensation, and the WTTD is 12.05 days. Among them, eight factors affect WTEC, such as the years of education, the duration of unemployment, whether there are dependents in the family, and the family's size. Nine factors such as gender, age, education, unemployed duration, dependents, and other supportable incomes affect WTTD. Based on this, by taking measures from the government and laborers, WTEC and WTTD can be improved, and then the rate of re-employment can be enhanced, and finally, the employment problem can be ameliorated.
ABSTRACT
COVID-19, the recent health threat that affected almost every part of the world, has had a huge impact on education and educators. While many researchers devoted their attention to exploring ways through which teachers and students could be supported at the time of a pandemic, this paper focuses on a different population: educational leaders. Effective educational leadership at the time of crisis is crucial not only because of its big impact and magnitude but also because it sets an example for how similar situations could be handled in the future. In this paper, the researcher first looks at the qualities and capacities needed of leaders at the time of emergency. She also discusses the need for educational contingency planning and crisis preparedness. Attention is then shifted to handling future crises and emergencies by shedding light on leadership essentials that school and district administrators should be equipped to handle. The paper ends by proposing some recommendations for leader preparation programs so that aspiring leaders are ready to deal with similar situations in the future. © Springer Nature Switzerland AG 2021. All rights reserved.
ABSTRACT
The purpose of this qualitative case study was to investigate the effectiveness of remote teacher preparation during the COVID-19 pandemic, specifically special education teachers participating at an Intern Credentialing Program in Northern California.In addition to remote teacher preparation, the study explored how intern teachers experienced delivering special services remotely, how they perceived the Intern Program prepared them compared to traditional programs, and how they experienced their preparation to become agents of change in public education. Data for this study was collected through field journals, surveys and interviews. The findings of this study revealed that Intern Teachers experienced remote Teacher Education as having more benefits than challenges, however the delivery of services to students with disabilities had more challenges than benefits. The interviews indicated that the Intern Teachers believe they are not well prepared to be agents of change.Implications of the study include recommendations to continue teacher education remotely, to develop a tool to determine student benefit from delivery of special services remotely, and to add to teacher education programs curriculum and activities that support diversity, inclusion, and belonging in the classroom through the frameworks of Emancipatory Pedagogies, Critical Race Theory, Culturally Relevant Pedagogy, Culturally Sustaining Pedagogy and Discrit. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
This chapter covers three distinct themes that encompass the concept of burnout warning: inherent adversities in the modality shift, fear and ambiguity in higher education, and attempting to work in suboptimal conditions. While thriving represents a concept that denotes success and achievement, burnout represents exhaustion and fatigue. The behavior exhibited by staff and its correlation to burnout is best explained by the works of Maslach and Leiter using the areas of worklife (AW) model entailing organizational risk factors. The AW model explains how burnout is expedited when there is a disruption to balance in the following areas: workload, control, reward, community, fairness, and values. The findings indicate that staff members at the University of Utah displayed early signs of burnout warning. The factors that contribute to early signals of burnout include resource shortages, an increase in overall workload-including persistent emotional labor-and a lack of acknowledgement. The chapter illustrates how stressors, aggravated by COVID fatigue, fostered an environment that mobilized the onset of burnout. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
Purpose: The purpose of this study is twofold. First, this study reflects on the development of professional capital through understanding collective cultural factors, namely, academic optimism and shared vision. Second, it aims at exploring teacher learning. Teacher learning resulting in changes to teacher knowledge, attitudes and practices is crucial for the necessary changes education is continually confronted with. This learning is too often studied as a result of individual traits or structural factors, such as motivation or time. The authors investigated how teacher learning is influenced by academic optimism and shared vision. Design/methodology/approach: The authors administered an online web-based survey to 278 teachers in higher education, using the educational change to online learning due to the COVID pandemic as a unique chance to study the role of collective cultural factors in teacher learning. Findings: Results showed how teachers characterized their learning, academic optimism and shared vision during the educational change to online learning resulting from the COVID pandemic. The authors found that teacher learning was greatly influenced by teachers' collective sense of efficacy, an aspect of their academic optimism. Teachers' strong belief in each other, that they as fellow professionals could handle the challenging changes that the COVID pandemic required, strongly enhanced teacher learning during the COVID pandemic. Teachers' feeling of a professional community helped teacher to make sense of, and push through, the undeniable chaos that was the COVID pandemic. Originality/value: Collective cultural factors are rarely studied in conjunction with educational change. Insights into how a collective culture of professionalism enhances or hinders teacher learning are important for theory, policy and practice as it helps understand how teacher teams can be supported to build their professional capital by learning from educational change.
ABSTRACT
BACKGROUND: The lockdown would become the primary strategy for facing covid-19 as it quickly mutates which might cause repeated pandemics;however, it negatively affects individuals' quality of life (QOL). The schizophrenia caregivers experience considerable stress. The research on the impact of the COVID-19 lockdown on QOL of schizophrenia caregivers is essential, especially for those who reside in rural areas. AIM: This study aimed to investigate the impact of lockdown-related COVID-19 on QOL among primary caregivers of schizophrenia patients living in a rural area. METHOD(S): This study recruited 204 primary caregivers (15-79 years). This study used the World Health Organization Quality of Life instrument (WHOQOL-BREF) to asses QOL's primary caregiver. Evaluate the possible change in caregivers' QOL before and during the COVID-19 lockdown using paired t-test for repeated measures. RESULT(S): The mean age of the caregivers was 46.61 years (SD = 12.79), ranging from 15 to 79 years, with a preponderance of male (54.5%), aged 38-47 years old (29.7%), married (81.2%), employed (57.4%), and had senior high school level of education (34.7%). Majority were parents (26.2%) of the ill relative, and took care of the patients more than 5 years (52.5%). There was a statistical difference (p < 0.05) in caregivers' QOL between before and during the COVID-19 lockdown, including in physical health, psychological, social relationships, and environment domain. CONCLUSION(S): Implementing a lockdown policy related to COVID-19 has negatively impacted the caregivers' QOL. The degradation of caregivers' QOL showed from before to during COVID-19 lockdown. Further study needs to explore the QOL of other mental illness caregivers regarding COVID-19 lockdown. This finding becomes a reference for a government to modify some policy-related lockdowns to minimize their negative impact.Copyright © 2023 Utomo Utomo, Eko Mulyadi, Endang Fauziyah.
ABSTRACT
The COVID-19 pandemic caused unemployment rates to reach record highs, adding to an already unequally divided system (Kawohl & Nordt, 2020). Minorities' unemployment rates in the United States were significantly higher in 2020 than the white unemployment rate, regardless of educational attainment. This study draws upon U.S. census data after the onset of the pandemic to investigate the relationship between educational attainment, race, and employment rates in the United States. Logistic regression revealed that the probability of being employed in 2020 was higher for whites than minorities and significantly higher for those with higher levels of education. Based on these preliminary results, we discuss the relationships among race, educational attainment, and employment, and suggest routes for further inquiry. © Issues in Information Systems.