ABSTRACT
Objectives: Opioids play a significant role in the effective management of cancer-related pain. The COVID-19 lock down may have reduced access to opioids and caused a decline in the use of prescription of opioids among cancer survivors. This study compared opioid prescription rates among cancer survivors before and after the onset of COVID-19 pandemic using real-world electronic health records (EHR). Method(s): Cohort analyses of cancer patients using data from EHR database from the TriNetX, a global federated health research network across 76 healthcare organizations. We analyzed changes in prescription opioid use before (March 1, 2018, through March 1, 2019) and after onset of COVID-19 (April 01, 2020, through March 2021) among cancer survivors. The key outcome variable was any opioid prescription within 1 year of cancer diagnosis. One-to-one propensity score matching was used to balance the characteristics (age, sex, race, diagnoses including diabetes, hypertensive diseases, overweight, mood disorders, and visual disturbances) of the two cohorts. Data were analyzed using the TriNetX platform. Result(s): There were 1,502,143 cancer survivors before COVID-19 and 1,412,599 cancer survivors after the onset of COVID-19. The one-to-one propensity-score match yielded 1,382,561 cancer patients, mean age 64 at cancer diagnosis, and 73% were white. Percentage of opioid use among cancer patients declined from 35.6% before the COVID-19 to 35.1% after the onset of the pandemic (OR=0.976, 95% CI 0.971-0.981). Average number of opioid prescriptions within 1 year of cancer diagnosis declined from 5.7 before to 5.3 after the COVID-19 onset (p<0.001). Conclusion(s): Among cancer survivors, a small decline in prescription opioid use was observed after the onset of COVID-19 pandemic. Future studies are needed to distinguish the impact of revised guidelines, opioid prescription policy changes, and COVID-19 lock down on lower rates of prescription opioid use among cancer survivors.Copyright © 2023
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
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
COVID-19 has had serious consequences in all areas of social life, including education. In this period, distance education appeared as an inevitable solution. Even today, when the pandemic process is over and re-normalization has begun, online teaching environments have become such an indispensable part of education systems that it has been decided that a certain proportion of the courses will be conducted online in universities. For this reason, determining student experiences in online courses is important in planning the future of distance education. Since academic performance is the output of the teaching process, students' academic performance is one of the topics of interest in higher education research. There may be different factors affecting the academic performance of students in the distance education process, which imposes more responsibility on students and requires self-control. This study aimed to examine the relationship of academic performance in the distance education with home infrastructure, student interaction, computer skills, academic satisfaction. This research is based on a large-scale study, "The impact of the COVID-19 pandemic on the lives of higher education students", examining the pandemic's impact on higher education student perceptions in 2020. It has been observed that home infrastructure has a significant impact on the student's academic performance. The infrastructure increases the interaction of the student. When home infrastructure is taken as a control variable, students' computer skills are the highest predictor of their perception of academic performance, followed by their online interactions and, finally, perceived satisfaction. Today, pandemic conditions are still ongoing. In addition, even as the pandemic ends, online education has become an indispensable part of our education system. Therefore, the findings of the research would be beneficial for the ongoing planning process.
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
PurposeThe purpose of this paper was to determine the profile of dairy product consumers in the organic market.Design/methodology/approachThe study was based on a survey questionnaire developed by the author and administered to a total of 1,108 respondents. The statistical analysis (including descriptive statistics, the analysis of the discriminative function and the Chi2 test was performed with the use of Statistica 13.1 PL. The respondents' gender was the factor behind the differences in how they behaved.FindingsThe consumers indicated the channels they rely upon to find information on organic dairy products;in addition to trusting the opinions of their family members and experts, they also use web platforms. Further, they specified their preferred locations for buying favorite products during the pandemic: specialized organic food shops, large distribution chains and online stores.Practical implicationsThese outcomes will help in identifying target consumer segments and information channels for specific information and advertising messages. They also form an important resource for developing some potential strategies which the supply chain stakeholders could implement to promote organic consumption of dairy products.Originality/valueThis study identifies consumers' preferred dairy products;motives for purchasing organic dairy products;barriers that consumers believe exist in the market;sources of knowledge about products purchased by consumers;and consumers' preferred channels for purchasing organic dairy products. To the best of the author's knowledge, this is the first study of dairy product consumers in the organic market in Poland.
ABSTRACT
Many countries have doctoral viva examinations, mostly conducted in-person until the COVID-19 pandemic. This article explores the changing processes and experiences of doctoral vivas forced online, from the perspectives of three examiners (two Uk, one NZ) and one recent candidate (UK). It sheds light on remote viva examinations exploring experiences of examination rigour, opportunities to evidence 'doctorateness' and challenges and affordances of remoteness, home location and technology. We use autoethnography, focusing on our experiences including the personal, learning and institutional dimensions. We found virtual spaces had advantages (comfort) and disadvantages (emotional difficulties), and levels of worry were often higher, especially regarding IT. Online formats still enabled examiners to rigorously assess 'doctorateness', but duty of care is needed for candidates with anxiety exacerbated by the pandemic, or technology. Our study offers insiders' insights into the remote online viva itself with recommendations for candidates, examiners and institutions. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
The present study shows the results of six case studies referring to an intervention applied to mathematical learning difficulties. Participants were 8 to 12 years old. The intervention considered mathematics as a language and it is theoretically based on Bronfenbrenner's bioecological model, Vygotsky's sociocultural theory and Peircean semiotics. The objective was to work on the development of academic skills associating mathematics with interactional social skills. The analysis was based on qualitative data collected during the intervention process and quantitative data from scales and instruments with pre- and post-intervention measures. However, due to the COVID-19 pandemic context, some methodological issues were affected, mainly because the evaluations took place before and in the midst of the pandemic. Social impacts of the pandemic have unevenly affected participants, especially adolescents and children. The pandemic had a worse effect on adolescents than on children, especially regarding procedures that involve memory, and those with attentional problems also had worse results.
ABSTRACT
PurposeCOVID-19 and its measures such as physical distancing have shifted consumer payment behaviors toward cashless payment. Physical distancing is likely to remain a norm for some time to come and will be relevant in any future pandemics. This study aims to examine the impact of consumers' perceived value of cashless payment on their use intention in the physical distancing context, with the mediating role of psychological safety and the moderating role of trust propensity.Design/methodology/approachThis study used a survey method to obtain data from 690 consumers in an Asian emerging market, i.e. Vietnam. The data were analyzed using different statistical methods, including structural equation modeling.FindingsResults show that perceived value of cashless payment positively affects use intention, and this effect is mediated by psychological safety. Furthermore, trust propensity has a positive moderating effect on the link between perceived value and psychological safety.Practical implicationsThis study's findings provide implications for retailers and other stakeholders in implementing and promoting cashless payment systems, especially in the physical distancing context.Originality/valueThis study is among the first attempt to explain the relationships between consumers' perceptions, feelings of psychological safety and use intention toward cashless payment in the physical distancing context. The study's findings may also be relevant to any future pandemics.
ABSTRACT
BackgroundPsoriasis (PsO) and psoriatic arthritis (PsA) can greatly impact quality of life and result in substantial personal and societal costs. Complete and up to date data on the prevalence and incidence of these conditions and whether these change over time and vary by age is important for healthcare service planning so that specialist care and funding can be appropriately allocated.ObjectivesTo determine the prevalence and incidence of PsO and PsA in males and females from 2009-2019 across all age groups in England.MethodsWe used Clinical Practice Research Datalink AURUM, a primary care electronic health record database, including 20% of the English population. The codes used to identify patients with PsO and PsA were selected by rheumatologists and dermatologists and cross-checked with published code lists from other studies to ensure inclusion of all relevant codes. All included patients must have data for at least 1 year before their diagnosis. The annual incidence and point prevalence were calculated from 2009-2019 and stratified by age/sex. The study period ended in 2019 to avoid COVID-19 pandemic affecting results.ResultsThe prevalence of PsO and PsA in males and females increased annually, peaking in 2019 (PsO males 2.41% [95% confidence interval (CI) 2.40, 2.42];PsO females 2.60% [95% CI 2.59-2.61];PsA males 0.20% [95% CI 0.20-0.20];PsA females 0.21% [95% CI 0.21- 0.22]), as illustrated in Table 1. In 2019, the prevalence of PsO and PsA was highest in the over 65 years age group;PsO 4.25% [95% CI 4.22-4.28] and PsA 0.38% [95% CI 0.37-0.38]. The annual incidence (per 100,000 person years) of PsO has gradually decreased in males (from 168 (164-171) in 2009 to 148 (145-151) in 2019) but in females it has been stable with a slight annual decrease (from 180 (177-184) in 2009 to 173 (170-176) in 2019). The annual incidence for PsA has increased in both males and females (13 (12-14) in 2009 and 15 (14-16) in 2019 for males and 12 (11-13) in 2009 and 18 (17-19) in 2019 for females).ConclusionThe increasing prevalence of PsO and PsA highlights the importance of organising healthcare services to meet this need, particularly in the elderly population.ReferencesNIL.Table 1.Prevalence of PsO and PsA from 2009-2019 in EnglandYear20092010201120122013201420152016201720182019Population (n)1073383110910802110318501118036711343299112249341137842211657996119336261223432512420998PsO (n)216841229106239819250667259988268032276804286499295712304568311104PsO prevalence (%, 95%CI)-Male1.98 (1.96-1.99)2.06 (2.05- 2.07)2.13 (2.12-2.14)2.19 (2.18-2.20)2.24 (2.23- 2.25)2.33 (2.32- 2.34)2.37 (2.36- 2.38)2.39 (2.38- 2.40)2.40 (2.39- 2.41)2.40 (2.39- 2.42)2.41 (2.40- 2.42)-Female2.07 (2.05- 2.08)2.14 (2.13- 2.16)2.22 (2.21- 2.23)2.29 (2.28- 2.31)2.35 (2.33- 2.36)2.45 (2.43- 2.46)2.50 (2.49- 2.51)2.53 (2.52- 2.54)2.56 (2.54- 2.57)2.58 (2.56- 2.59)2.60 (2.59- 2.61)PsO incidence (100,000 person years)-Male168 (164-171)158 (155- 162)161 (158-165)153 (150-157)161 (157- 164)156 (153- 159)155 (152- 159)154 (151- 157)153 (150-156)150 (147-153)148 (145-151)-Female180 (177-184)176 (172-179)181 (177-184)171 (167-174)175 (171-178)176 (172-180)179 (176-183)178 (174-181)177 (174-181)174 (170-177)173 (170-176)PsA (n)1444515443164681752218545196182072021994232572451425683PsA prevalence (%, 95%CI)-Male0.14 (0.14- 0.14)0.15 (0.14- 0.15)0.15 (0.15- 0.16)0.16 (0.16- 0.16)0.17 (0.16- 0.17)0.18 (0.17- 0.18)0.18 (0.18- 0.19)0.19 (0.18- 0.19)0.19 (0.19- 0.20)0.20 (0.19- 0.20)0.20 (0.20- 0.20)-Female0.13 (0.13- 0.13)0.14 (0.13- 0.14)0.15 (0.14- 0.15)0.15 (0.15- 0.16)0.16 (0.16- 0.16)0.17 (0.17- 0.18)0.18 (0.18- 0.18)0.19 (0.19- 0.19)0.20 (0.19- 0.20)0.20 (0.20- 0.21)0.21 (0.21- 0.22)PsA incidence (100,000 person years)-Male13 (12- 14)12 (11- 13)13 (12- 14)12 (11- 13)13 (12-14)14 (13- 15)14 (13- 15)14 (13-15)1514-16)14(13- 15)15 (14-16)-Female12 (11- 13)13 (12- 14)13 (12- 14)14 (13-15)14 (13-15)15 (14-16)17 (16- 18)16 (15- 17)17 (16- 18)18 (17-19)18 (17-19)Acknowledgements:NIL.Disclosure of InterestsArani Vivekanantham: None declared, Edward Burn: None dec ared, Marta Pineda-Moncusí: None declared, Sara Khalid Grant/research support from: SK has received research grant funding from the UKRI and Alan Turing Institute outside this work. SK's research group has received grant support from Amgen and UCB Biopharma., Daniel Prieto-Alhambra Grant/research support from: DPA's department has received grant/s from Amgen, Chiesi-Taylor, Lilly, Janssen, Novartis, and UCB Biopharma. His research group has received consultancy fees from Astra Zeneca and UCB Biopharma. Amgen, Astellas, Janssen, Synapse Management Partners and UCB Biopharma have funded or supported training programmes organised by DPA's department., Laura Coates Speakers bureau: LC has been paid as a speaker for AbbVie, Amgen, Biogen, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Medac, Novartis, Pfizer and UCB., Consultant of: LC has worked as a paid consultant for AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Gilead, Galapagos, Janssen, Novartis, Pfizer and UCB., Grant/research support from: LC has received grants/research support from AbbVie, Amgen, Celgene, Eli Lilly, Novartis and Pfizer.
ABSTRACT
The tremendous growth of tourism in Albania in recent decades, made important the understanding of the role that digital marketing and mobile technology is playing in this field. Tourism in Albania is one of the most important economic sectors of the country, and is growing year after year. It is emphasized that digitalization is a new form of communication between producers and consumers of tourism services, becoming a source of competitive advantages for tourism organizations. The main goal of the study is to give us a clear overview of the use of the Internet, information technologies and digital marketing in Albania. For the realization of this study, we used a methodology that combines primary data with secondary ones. The research was conducted through questionnaires that were sent to Albanian travel agencies via email. The questionnaire contains 17 questions, and was sent to 150 travel agencies, of which 102 agencies responded. Regarding the study, digital marketing plays an important role in improving the image of Albanian tourism throughout the world. It has created facilities in the way of doing marketing and reducing the costs of businesses. Through digital marketing, travel agencies have managed to promote our country online, personalize services and, above all, be closer to customers. The research found that the most effective digital marketing tools used by the agencies are Instagram and Facebook.
ABSTRACT
Study Design: We conducted a qualitative stakeholder analysis project with suppliers of the MDPP and health care providers. Am J Manag Care. 2023;29(6):In Press _____ Takeaway Points More than 5 years after CMS enacted coverage of the CDC-approved Medicare Diabetes Prevention Program (MDPP) in 2018, little is known about why MDPP uptake is so limited. * Findings of our stakeholder analysis with program suppliers and health care providers reinforced existing evidence on insufficient reimbursement and low awareness of the program. * Newer insights include recommendations about lagged payments, ongoing virtual delivery, and formally diagnosing prediabetes among MDPP participants. * Our findings on barriers and facilitators can inform policy to refine the MDPP and research on the MDPP, particularly within the field of implementation science. _____ Population-level strategies to prevent type 2 diabetes are urgently needed for the more than 24 million older adults with prediabetes in the United States.1 Evidence-based lifestyle interventions can prevent diabetes onset, per evidence from the landmark Diabetes Prevention Program trial.2 Thus, the CDC launched the National Diabetes Prevention Program (NDPP) in 2010.3 Significant reductions in weight and medical spending were observed among Medicare beneficiaries who participated in the NDPP,4 prompting CMS to fully cover the Medicare Diabetes Prevention Program (MDPP) starting in 2018.5 Despite unprecedented Medicare coverage for a disease prevention program, MDPP uptake is limited. Regarding awareness, national guidelines recommend referral to lifestyle intervention for adults aged 40 to 70 years with prediabetes.9 Yet less than 5% of adults eligible for a NDPP reported receiving a referral,10 which may stem from limited awareness among health care providers.11 Thus, we conducted a qualitative stakeholder analysis to learn about regional awareness of, referral to, facilitators of, and barriers to the MDPP. The 8 interviewees included 5 program directors (3 from YMCAs, 1 from a private organization, and 1 from a hospital system) and 3 health care providers (2 family physicians and 1 dietitian).
ABSTRACT
The purpose of this study was to examine the experiences of conductor-teachers and older adult musicians in a New Horizons ensemble engaged in distance online music-making and music learning. This study employed intrinsic and particularistic qualitative case study designs in which older adult musicians and conductor-teachers of a New Horizons orchestra were interviewed and observed for one year during the COVID-19 pandemic. Primary data sources included verbatim interview transcripts of 11 older adult musicians and the principal conductor, e-mail correspondences, video recordings, and the principal conductor's journal entries. Findings distilled from the data included (a) the information communication technology (ICT) and music learning technology (MLT) introduced and the technological pedagogical and content knowledge (TPACK) needed to teach orchestra members and (b) how orchestra members navigated both ICT and MLT to engage in meaningful music-making and music learning in a distance learning environment. Implications for research and practice include challenging implicit assumptions and messages regarding technology use among older adult musicians, continuing post-COVID distance music learning that may lead to promising models for informal music learning, and continued connectivity beyond the locality of the rehearsal hall.
ABSTRACT
The recent Covid-19 pandemic has created many challenges and barriers in healthcare, which includes the treatment and management of patients with type 2 diabetes (Robson & Hosseinzadeh, 2021). The purpose of this Evidence-Based Project (EBP) project is to evaluate the effectiveness of type 2 diabetes management through telehealth and answers the following PICOT question: In patients with diabetes type 2 who have difficulties with medical visit compliance (P), will the telehealth platform (I), compared to patient's previous visit HbA1c (C) improve the Hemoglobin A1c (HbA1c) diagnostic marker (O) over a 12-week period(T)? An extensive literature search of five databases was performed, citation chasing, and a hand search yielded fourteen pieces of evidence ranging from level I to VI (Melnyk & Fineout-Overholt, 2019). The pieces of evidence selected for this project support the evidence that telehealth implementation is as effective as the "usual care" or in-person visits to treat type 2 diabetes. The John Hopkins Nursing Evidence-Based Practice (JHNEBP) model was selected. Patients with a HbA1c of greater than 6.7% have been asked to schedule two six-week telehealth visits. During the live video visit, a review of medications, and diabetes self-management education (DSME) will be conducted. Participants will be provided with education to promote lifestyle modifications. The visits will be conducted through an Electronic Medical Record (EMR) system that is Health Insurance Portability and Accountability Act (HIPAA) compliant. A paired t-Test will be used with the data collected from the pre-and post-HbA1c. Improve the management of type 2 diabetes with the incorporation of telemedicine in primary care. Research supports the need to further expand the use of telehealth in primary care, to improve patient outcomes and decrease co-morbidities related to type 2 diabetes.
ABSTRACT
As Covid-19 vaccination in the U.S. begins and hopes of a gradual return to normalcy are raised after much disruption in the shopping behavior of consumers, there is a need to examine consumers' shopping patterns at different stages of the pandemic to adequately understand the potential impacts on shopping behavior. This study explored the shopping behavior of Florida residents during the early transition phase of the pandemic, using data collected from an online survey from February to April 2021. A comprehensive analysis was conducted examining the shopping patterns in terms of purchase frequency, expenditure, and shopping trip distance as well as individuals' shopping attitudes. Further analysis of the shopping behavior was also carried out to investigate whether and how key demographic variables, including age, income, and gender, might be associated with their shopping patterns and attitudes. The analysis reveals that finding and comparing products were big motivators for using online shopping, while concerns about putting personal information online, shipping costs, and the return process may discourage online shopping. Women spent less than men but had significantly higher purchase frequencies than men. People generally liked shopping without interacting with anyone, which suggests that in-store shopping was not necessarily motivated by the need for social interactions. However, price, safety, and parking availability were the top factors in choosing the stores to shop from. Thus, urban and transportation planners should promote compact, mixed-use development and parking management strategies to reduce vehicle shopping trips and the need for separate trips for different purposes. © 2023 ICE Publishing: All rights reserved.
ABSTRACT
PurposeThis study evaluates the impact of online menus and perceived convenience of online food ordering on consumer purchase intention and shows how a desire for food creates a relationship between an online menu and a customer's purchase intention. Suggestions for management are proposed to design an effective menu to improve business performance in the competitive market in Vietnam.Design/methodology/approachThe paper follows a quantitative method. Quantitative research aims to analyze and critically evaluate the research question(s) to discover new factors.FindingsFindings indicate a positive relationship between menu visual appeal (MV), menu informativeness (MI), desire for food (DF), the perceived convenience (PC) of ordering food online and intention to purchase (PI). The attractiveness of images and information is a significant factor affecting diners' desire to eat, while the demand for food and the convenience of ordering food online are also factors affecting purchase intention.Practical implicationsThe study confirms the importance of online menus to purchase intention. Economically, when supply and demand are reasonable, the market is stable and technology develops. In terms of social, hygiene, attractiveness and price factors, it is helpful to have an overview. Research is the premise for further studies with factors from menu to customer trust.Originality/valueThe study provides a solid foundation for further studies on restaurant menu elements as well as a new perspective on how restaurants improve their dishes.
ABSTRACT
Electronic health records (EHRs) and medical data are classified as personal data in every privacy law, meaning that any related service that includes processing such data must come with full security, confidentiality, privacy, and accountability. Solutions for health data management, as in storing it, sharing and processing it, are emerging quickly and were significantly boosted by the COVID-19 pandemic that created a need to move things online. EHRs make a crucial part of digital identity data, and the same digital identity trends - as in self-sovereign identity powered by decentralized ledger technologies like blockchain, are being researched or implemented in contexts managing digital interactions between health facilities, patients, and health professionals. In this paper, we propose a blockchain-based solution enabling secure exchange of EHRs between different parties powered by a self-sovereign identity (SSI) wallet and decentralized identifiers. We also make use of a consortium IPFS network for off-chain storage and attribute-based encryption (ABE) to ensure data confidentiality and integrity. Through our solution, we grant users full control over their medical data and enable them to securely share it in total confidentiality over secure communication channels between user wallets using encryption. We also use DIDs for better user privacy and limit any possible correlations or identification by using pairwise DIDs. Overall, combining this set of technologies guarantees secure exchange of EHRs, secure storage, and management along with by-design features inherited from the technological stack. © 2023 Marie Tcholakian et al.
ABSTRACT
The pandemic forced many education providers to pivot rapidly their models of education to increased online provision, raising concerns that this may accentuate effects of digital poverty on education. Digital footprints created by learning analytics systems contain a wealth of information about student engagement. Combining these data with student demographics can provide significant insights into the behaviours of different groups. Here we present a comparison of students' data from disadvantaged versus non-disadvantaged backgrounds on four different engagement measures. Our results showed some indications of effects of disadvantage on student engagement in a UK university, but with differential effects for asynchronously versus synchronously delivered digital material. Pre-pandemic, students from disadvantaged backgrounds attended more live teaching, watched more pre-recorded lectures, and checked out more library books than students from non-disadvantaged backgrounds. Peri-pandemic, where teaching was almost entirely online, these differences either disappeared (attendance and library book checkouts), or even reversed such that disadvantaged students viewed significantly fewer pre-recorded lectures. These findings have important implications for future research on student engagement and for institutions wishing to provide equitable opportunities to their students, both peri- and post-pandemic.
ABSTRACT
PurposeThis study aims to scrutinize the halal trust model by integrating the quality and valence theory in the mobile food purchasing service during the COVID-19 outbreak.Design/methodology/approachThis research uses data from 368 Muslim customers collected via an online survey from Bandung, West Java, Indonesia. This study uses partial least square modelling to appraise the formation of halal trust, including halal food quality, mobile apps quality, perceived benefit and health risk as drivers and loyalty as the consequence.FindingsThe data analysis notes that the combination of perceived quality and valence theory provides a comprehensive understanding of halal trust in mobile halal food purchasing during COVID-19. This study also verifies the crucial role of halal food quality and mobile apps quality in gaining halal trust.Research limitations/implicationsThis study used data from Muslim customers of the greater Bandung, Indonesia. The data limited the generalization of this study's findings. Moreover, this study predicted halal trust by integrating perceived benefit, perceived trust and quality as the predictors, whereas other determinants such as commitment and reputation were not included. Therefore, future researchers can incorporate these issues in their future halal trust research.Practical implicationsTo gain Muslim trust, this study recommends managers whose halal food is sold via mobile apps ensure that their halal food has a quality standard, made of, and processed according to Islamic values. Next, having a high-quality mobile app is also a must.Originality/valueThis study is early research that examines the integration of the quality and valence theory to evaluate halal trust in mobile halal food purchasing during COVID-19.
ABSTRACT
This chapter discusses the format of the International Program of Art Therapy in Thailand (IPATT) program before and during the COVID pandemic. A survey will contrast the strengths and weaknesses of online learning as experienced by IPATT students who participated in the program in-person as well as online. The IPATT studio is equipped with audio-visual aids for instructors to present art therapy theories and a studio working area with a wide assortment of art materials that allow students to work experientially. In addition to art therapy education, having students in the studio also gives them opportunities to learn relational literacy inside and outside class time, such as confronting or allying, deepening or skipping, and encouraging or letting go. The student survey that contrasted in-person and online classroom experiences revealed that face-to-face teaching gets a higher score in 3 out of 9 quality sub-categories;most aspects remain the same in both classroom settings. There are advantages and disadvantages to sharing art and personal experiences online, where group dynamics can be different, benefiting some group members but not others. While there is a preference for face-to-face education, the small student survey shows that most IPATT students accept online education as an alternative. (PsycInfo Database Record (c) 2023 APA, all rights reserved)