E-Learning Readiness Assessment Using Machine Learning Methods

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.

The Syncretic Effect of Dual-Source Data on Affective Computing in Online Learning Contexts: A Perspective from Convolutional Neural Network with Attention Mechanism

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.

Understanding the use of digital finance among older internet users in urban China: Evidence from an online convenience sample

Inclusive digital financial services should welcome older populations and make them beneficiaries of the digital and financial revolution. To understand older adults' experience of using digital financial tools, we conducted an online survey of 268 older internet users aged 60 or above from urban areas of 14 Chinese provinces after China's nationwide COVID-19 lockdown in 2021. Our results revealed that older internet surfers were active in digital financial activities and engaged most with activities that were highly compatible with their lifestyles. Active users significantly differed from inactive users in sociodemographics, confirming that a digital divide related to social stratification exists among older internet users. Digital finance active users were also distinguished from inactive users' attitudes and perceptions toward digital finance. Logistic regression results indicated that perceived usefulness, access to proper devices for digital finance, risk perceptions, and perceived exclusion if not using technology were associated with their adoption of these advanced tools. Older adults reported the perceived inconvenience of in-person financial services during the lockdown. They also expressed a willingness to participate in relevant training if provided. The findings of this study could help aging-related practitioners to understand older adults' engagement in digital finance and guide policy and project design in the area of financial inclusion of the aging population.

Examination of Variables Affecting the Perceptions of Academic Performance of Higher Education Students during the Distance Education Process

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.

Value Concern of Ecological Rationality and Exploration of the Chinese Path to Modernization

The COVID-19 pandemic has raged around the world over the recent years, raising the global community's awareness of the interconnection of human civilizations and urging the reconsideration of the human-nature relationship. The escalating worldwide ecological crises are putting human survival and development at risk. The phenomenon has aroused the awareness of "ecological rationality,” consciousness of "economic value” and appeal for "ecological justice” in the universal sense. The endeavor of promoting ecological civilization has been included as part of the five-sphere integrated plan for building socialism with Chinese characteristics since the 18th National Congress of the Communist Party of China (CPC). General Secretary Xi Jinping's thought on ecological civilization has fully manifested the value and goal of comprehensively promoting ecological civilization and adhering to the Chinese path to modernization. The Chinese path to modernization, which has reflected on and outclassed the Western-style logic for modernization, shows a unique horizon and independent wisdom. Focusing on addressing the uncertainties facing human survival in the New Era and aiming at embracing the future, the Chinese path to modernization has shifted the mindset from economic rationality to ecological rationality, abandoned anthropocentrism, and firmly upheld and fulfilled the code of conduct for rational "economic man.” The endeavor of building an eco-friendly society and an ecological community has showcased the favorable institutional practice in Chinese modernization and China's wisdom, demonstrated rational planning, prudential design and effective implementation for the prospect of mankind and highlighted a progressive trend in human civilization. © 2022 Brill Academic Publishers. All rights reserved.

ICT Transformation in Education: Its Impact on Language Teachers' Professional Identities

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.

Telemedicine in the Era of Covid-19: Teleconsultation Architecture Platform

Teleconsultation is a type of medical practice similar to face-to-face consultations, and it allows a health professional to give a consultation remotely through information and communication technologies. In the context of the management of the coronavirus epidemic, the use of teleconsultation practices can facilitate healthcare access and limit the risk of avoidable propagation in medical cabinets. This paper presents the monitoring of international teleconsultation referrals in the era of Covid-19 to facilitate and prevent the suspension of access to care, the most common architecture for teleconsultation, communication technologies and protocols, vital body signals, video transmission, and the conduct of teleconsultation. The aim is to develop a teleconsultation platform to diagnose the patient in real time, transmit data from the remote location to the doctor, and provide a teleconsultation. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Chinese Normal Students' Satisfaction of Emergency Remote Learning in Higher Education during COVID-19 Pandemic

Despite the widespread use of emergency remote learning (ERL) during the COVID-19 pandemic in higher education, little is known about the determinants of Chinese normal student satisfaction with ERL. This study uses a questionnaire survey method to examine how Chinese normal students' satisfaction with ERL during the COVID-19 pandemic. The results show that Chinese normal students prefer face-to-face teaching to online teaching to some extent. According to the findings, it is important to emphasize students' pre-class preparation, adjust course assessment methods, change teachers' teaching strategies, create a positive teaching environment, boost students' learning confidence, and help them deal with their anxiety during ERL to improve the online course experience for Chinese students at normal universities. © 2023 ACM.

The Sociological Role of Empathy in the Classroom

Teaching during a global pandemic has prompted many discussions about how faculty can best support students and create classrooms where deep learning and engagement occur. In this conversation, we argue there is a role for empathy in college classrooms. We present data from interviews with faculty at a small, Midwestern, teaching-focused university during the fall of 2020. We map these perspectives onto the empathy paths framework and suggest that the therapeutic and instrumental paths are most useful for understanding empathy in the classroom. We also discuss why it is important for faculty to think about empathy and the role sociology can play in these conversations. Finally, we present a series of empathetic practices individual faculty can incorporate into their pedagogy and structural supports that departments and universities can provide to help faculty engage in empathetic practices in the classroom.

Student Perspective of Online Pedagogy Post COVID-19. A Missed Opportunity?

The COVID-19 pandemic has significantly changed education and caused unprecedented disruptions. These changes may disappear once the schools resume face-to-face classes in full force. Likewise, a positive change may not be necessarily what we want in education. This may be due to the existence of digital divide among students which cannot be ignored. During the COVID-19 pandemic, OneNote Class Notebook is used as an interactive digital whiteboard and has been evident as one of the best alternatives to the traditional whiteboard in the teaching and learning process. In this study, we aim to analyze students' perceptions of OneNote Class Notebook and the level of their continuous intention to use OneNote Class Notebook as an interactive digital whiteboard to replace the traditional whiteboard when school reopens with face-to-face lessons in the classroom in full force. The findings show that the students perceived that OneNote Class Notebook is indeed a useful tool to be used for calculus learning. But, it cannot be perceived as suitability to continue to be used during post COVID-19 period, when school reopens with physical classes in full force. In this regard, it reminds educators of the importance of rethinking education in the new normal post COVID-19 era from the perspective of curriculum studies. © 2023 IEEE.

Getting Students to (and Through) Advanced Math: Where Course Offerings and Content Are Not Adding Up. American Educator Panels. Research Report. RR-A827-10

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).]

Being a product consumer during the COVID-19 pandemic: profile of the Polish consumer in the organic dairy market

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.

Knowledge, attitudes, and willingness of adolescents towards coronavirus disease 2019 vaccine in Bangkok, Thailand

Background: The outbreak of coronavirus disease 2019 (COVID-19) was declared by the World Health Organization (WHO) as a COVID-19 pandemic on March 11, 2020. Therefore, the availability of vaccines will help develop immunity and protect people from this pandemic. The present systematic study examined knowledge, attitudes, and willingness of adolescents towards COVID-19 vaccine in Bangkok, Thailand. Objectives: The objective of the study was to evaluate the knowledge, attitudes, and willingness toward COVID-19 vaccine of key stage 4A-5 students at Satit Prasarnmit International Programme in Bangkok towards COVID-19 vaccine. Materials and Methods: The study was conducted using an online questionnaire. A total of 136 students participated. Knowledge, attitudes, and willingness of adolescents toward the COVID-19 vaccine were assessed. Differences between outcomes and socio-demographic characteristics of participants were analyzed through independent t-tests and the ANOVA. The level of willingness to vaccinate against COVID-19 was analyzed by a generalized linear model. Results: Students revealed moderate knowledge about COVID-19, correctly answering 11.08 out of 15 points (SD = 1.74), a low level of attitudes toward COVID-19 vaccine 8.49 out of 15 points (SD = 2.51), and low level of willingness to vaccinate against COVID-19 vaccine 2.29 out of 5 points (SD = 1.26), in total of 35 points (28 questions). There are statistically significant positive correlations shown between attitude towards COVID-19 vaccine and the level of willingness to vaccinate against COVID-19 vaccine (I2 = 0.384, P < 0.01%). Conclusion: This study revealed students in Satit Prasarnmit International Programme had moderate knowledge towards COVID-19, negative attitudes toward COVID-19 vaccine and low willingness to vaccinate against COVID-19. Furthermore, it indicates that there is a casual relationship between attitudes toward COVID-19 vaccine and the willingness of individuals to be vaccinated against COVID-19 vaccine. Thus, attitude toward COVID-19 vaccine acts as a major predictive factor toward the willingness to vaccinate against COVID-19 vaccine. Therefore, to increase peopleA's willingness to be vaccinated against COVID-19 vaccine, it is necessary to increase peopleA's attitude toward COVID-19 vaccine.

Internship Alternatives: Solutions for the COVID-19 Pandemic and Beyond

Internships are an integral component of most undergraduate and graduate public administration programs. These learning opportunities allow students to get practical experience in a workplace setting before graduation and provide them with an opportunity to apply knowledge gained in the classroom to the "real world." But what are students, departments, and employers to do when circumstances--including major disruptions like the COVID-19 pandemic as well as situations unique to specific students--complicate or even prevent on-site internship experiences? This article outlines a variety of approaches to finding a solution to this problem, weighing the benefits and drawbacks of each.

Opportunities for K-8 Students to Learn Statistics Created by States' Standards in the United States

Statistical literacy is key in this heavily polarized information age for an informed and critical citizenry to make sense of arguments in the media and society. The responsibility of developing statistical literacy is often left to the K-12 mathematics curriculum. In this article, we discuss our investigation of K-8 students' current opportunities to learn statistics created by state mathematics standards. We analyze the standards for alignment to the Guidelines for the Assessment and Instruction in Statistics Education (GAISE II) PreK-12 report and summarize the conceptual themes that emerged. We found that while states provide K-8 students opportunities to analyze and interpret data, they do not offer many opportunities for students to engage in formulating questions and collecting/considering data. We discuss the implications of the findings for policy makers and researchers and provide recommendations for policy makers and standards writers.

Development and Application of the Just Employment Policy Assessment in American Higher Education Institutions

The COVID-19 pandemic has heightened the visibility of economic inequality and the inadequacy of current minimum wage laws in the United States. Changes in the minimum wage, a living wage, or just employment practices may be compelled by law or voluntarily enacted by employers. A literature search failed to yield a concise and practical tool to comprehensively assess existing just employment policies or practices in higher education institutions. This article describes the development of a concise and practical assessment based on the "Model Just Employment Policy" from the Kalmanovitz Initiative for Labor and the Working Poor at Georgetown University. The resulting Just Employment Policy Assessment is used to evaluate the publicly available policies of four disparate higher education institutions in the United States. The article concludes with a discussion of implications for future research and administrative practice.

The effect of the emergency shift to virtual instruction on student team dynamics

In spite of the sudden onset of the COVID-19 pandemic, many instructors who used team-based pedagogies shifted them online rather than suspending them entirely, but with limited time and resources. To examine the difference in team dynamics and outcomes for courses in Spring 2019 and Spring 2020 of over 1500 first-year engineering students per semester, Wilcoxon signed-rank tests and random forests method were used. Results show that students reported less improvement in team-member effectiveness, lower psychological safety, and less satisfaction in the semester with the emergency transition. However, students also reported lower conflict. The most important factor predicting project grades shifted from 'Interacting with teammates' to 'Having relevant knowledge, skills, and abilities' amid the emergency shift, accompanied by a reduction in team interdependence. In spite of the collection of data during an emergency transition, the foundation of face-to-face interaction before moving to virtual cooperation represents a useful contribution to research that has focused exclusively on virtual learning circumstances.

Evaluation on College Students' Anxiety and Social Media Usage during Shanghai Closure

As COVID-19 mutates, the highly infectious omicron mutants (BA. 5.2., BF. 7) tension shrouded China. Given the internet information explosion and youth social media addiction, observing the mental impact on college students during the 2022 Shanghai closure is worthwhile. A pilot survey study was conducted to explore the anxiety levels of college students during the closure. The sample size was limited to 101 second-year college students. In addition to demographics, the survey involved the Self-Rating Anxiety Scale, self-perceived COVID-19 anxiety, frequency of COVID-19 information reception, number of social media accounts, and number of electronic devices. Though 68.4% of students equipped with two electronic devices (N = 95) exceeded the students with only one electronic device, a Chi-square test showed that students with only one electronic device had the highest anxiety index (mean = 50). Further, the Kruskal-Wallis test indicated that the number of electronic devices affected the students' anxiety level (p = 0.027) while social media membership did not (p = 0.565). As a result, it was suggested that social media usage and pandemic information inputs among college students were significant concerns that required special attention from the government, schools, teachers, and families.

Online Psycho-Educational Intervention in Mathematical Learning Difficulties

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.