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.

Teaching civics/history and english to adult lawful permanent residents with limited english proficiency at local libraries: Challenges and practices during the COVID-19 pandemic

This chapter introduces a citizenship instruction program offered by the Teaching English to Speakers of Other Languages (TESOL) program at Oklahoma City University (OCU) in collaboration with two local libraries in the Oklahoma City metro area with a grant funded by the Institute of Museum and Library Services and the Oklahoma Department of Libraries. It specifically discusses the challenges that teachers and learners have encountered during the COVID-19 pandemic and the approaches utilized to address these challenges. Implications of this experience for instruction of civics/history and civics-based English, as well as the professionalization of ESL teachers, post-COVID-19 are discussed. © Springer Nature Switzerland AG 2021. All rights reserved.

Effect of Distant Education on Children's Academic Achievement in Primary Schools During Corona Pandemic in Dubai Emirate- Field Study

This study aimed to examine the effect of distance education on the level of educational achievement of children during the Corona period in ten primary schools in the Emirate of Dubai. To achieve the objectives of the study the researchers adopted the descriptive analytical approach. The quantitative method of data collection had been applied using the electronic questionnaire tool consisted of four main axes for data collection and had been distributed to the study sample consisted of 190 students' parents and administrators selected by using simple random techniques. The results of the study indicated that the participation of students in the educational process, and in the establishment of appropriate educational programs and applications for the transmission to distance learning have contributed to reducing the negative effects of the process of shifting from traditional education / face-to-face education classroom teaching to virtual classroom (ZOOM).The study recommended the need for strengthening distance education mechanisms, which contribute in developing the student's interests, tendencies, attitudes, concentrating on the study material, and using of safe and secured electronic devices to increase the search for additional information to reach the correct knowledge. Also, the school administration should have good e-learning plan ahead with required financial credits that will help in overcoming the crisis and mange distance learning processes to reach future objectives successfully. © 2022 Owner/Author.

Embracing DDMT Teaching Model and Design Thinking for Organization Development

The multi-generational workforce presents challenges for organizations, as the needs and expectations of employees vary greatly between different age groups. To address this, organizations need to adapt their development and learning principles to better suit the changing workforce. The DDMT Teaching Model of Tsing Hua STEAM School, which integrates design thinking methodology, aims to address this challenge. DDMT stands for Discover, Define, Model & Modeling, and Transfer. The main aim of this study is to identify the organization development practices (OD) and gaps through interdisciplinary models such as DDMT and design thinking. In collaboration with a healthcare nursing home service provider, a proof of concept using the DDMT-DT model was conducted to understand the challenges in employment and retention of support employees between nursing homes under the healthcare organization. The paper highlights the rapid change in human experiences and mindsets in the work culture and the need for a design curriculum that is more relevant to the current and future workforce. The DDMT-DT approach can help organizations address these challenges by providing a framework for HR personnel to design training curricula that are more effective in addressing the issues of hiring and employee retention. By applying the DDMT-DT model, HR personnel can better understand the needs and motivations of the workforce and design training programs that are more relevant to their needs. The proof-of-concept research pilot project conducted with the healthcare nursing home service provider demonstrated the effectiveness of the DDMT-DT model in addressing the issues of hiring and employee retention. The project provides a valuable case study for other organizations looking to implement the DDMT-DT model in their HR practices. Overall, the paper highlights the importance of adapting HR practices to better suit the changing workforce. The DDMT-DT model provides a useful framework for organizations looking to improve their HR practices and better address the needs of their workforce.

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.

Writing Well/Writing to Be Well: Rethinking the Purposes of Postsecondary Writing Instruction

In this article, we identify student well-being as a primary goal of postsecondary writing instruction. Reconceiving the purpose of writing instruction in this way rests on valuing the experience of writing and its impact on the writer's sense of self. We draw on posthumanist theory and empirical research to illuminate this impact as the foundation of a pedagogy that promotes students' well-being and also supports their development as writers and as human beings.

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).]

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.

Book Review: Taking Literature and Language Learning Online: New Perspectives on Teaching, Research, and Technology

The creation of beautiful literature and art is one of humanity's most essential endeavours. The importance of literature as a component of the language-teaching curriculum has fluctuated over the last century with the popularity of various language-teaching pedagogies. Notwithstanding, it has recently seen a resurrection of appreciation for its effective utility in language acquisition. Covid-19 lockdown combined with the further progress of computer-assisted language learning has led to a gradual shift in the provision of literature-based language education to an online setting. Under this trend, Sandra Stadler-Heer and Amos Paran's edited chapter book Taking Literature and Language Learning Online: New Perspectives on Teaching, Research and Technology concentrates on a particular component of this transfer process, namely the interaction between literature and language learning. This book review provides an overview of this volume.

Flexible curriculum design for quantitative skills development: Building on the insights gained during COVID-19

Before the COVID-19 pandemic, technology-enhanced learning and its relation to student engagement, and the necessity of good student-staff relationships for creating a successful education environment were evident. The COVID-19 pandemic forced higher education to adapt to a challenging technology-led learning environment that demanded, inter alia, high levels of flexibility and human-centredness. Valuable lessons were learned that highlighted new perspectives on curriculum design and delivery in a normalised, technology-driven environment. Against the background of COVID-19-related literature on teaching and learning, the authors reflect on their insights regarding curriculum design and delivery of two quantitative skills modules during the COVID-19 pandemic, and its impact on further curriculum planning. The focus of the article is on the intentional flexibility built into curriculum offerings during 2020-2022. The study reviewed flexibility on three levels, namely student, facilitator (staff) and delivery levels, through a multi-method research methodology. Quantitative data related to the academic performance of 2 949 students enrolled for the two quantitative skills modules from 2020 to 2022. Qualitative data related to themes through thematic analysis of student and facilitator surveys, focusgroup discussions and semi-structured interviews. The improved student academic performance reported by the study could be attributed to, amongst other factors, 1) flexibility of the selected delivery option, 2) positive staff and student experiences and engagement, and 3) intentional inclusion of activities promoting student-staff relationships. The good academic results obtained during the pandemic led to important curriculum decisions for a normalised future for these modules, which will be built on flexibility and human-centredness. Among these decisions is to continue presenting the modules in an online environment, even though traditional face-to-face teaching options are available.

Intelligent Methods and Models for Assessing Level of Student Adaptation to Online Learning

The problem of introducing online learning is becoming more and more popular in our society. Due to COVID-19 and the war in Ukraine, there is an urgent need for the transition of educational institutions to online learning, so this paper will help people not make mistakes in the process and afterward. The paper's primary purpose is to investigate the effectiveness of machine learning tools that can solve the problem of assessing student adaptation to online learning. These tools include intelligent methods and models, such as classification techniques and neural networks. This work uses data from an online survey of students at different levels: school, college, and university. The survey consists of questions such as gender, age, level of education, whether the student is in the city, class duration, quality of Internet connection, government/non-government educational institution, availability of virtual learning environment, whether the student is familiar with IT, financial conditions, type of Internet connection, a device used for studying, etc. To obtain the results on the effectiveness of online education were used the following machine learning algorithms and models: Random Forest (RF), Extra Trees (ET), Extreme, Light, and Simple Gradient Boosting (GB), Decision Trees (DT), K-neighbors (K-mean), Logistic Regression (LR), Support Vector Machine (SVM), Naїve Bayes (NB) classifier and others. An intelligent neural network model (NNM) was built to address the main issue. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)

Optimising students' participation during emergency remote teaching in the Covid-19 pandemic

This study examined issues related to students' participation and online absenteeism among students at Zimbabwe's universities during COVID-19 induced online teaching and learning. More specifically, the study examined some of the ethical issues related to students' participation and assessment during online learning in selected universities in Zimbabwe. The study also examined some of the strategies that can be adopted to optimize students' participation during online learning to make online learning a more honest and interactive endeavour. To fully understand the challenges related to participation and online absenteeism, the study extrapolated the perspectives of students and academic staff who had adopted online learning since the outbreak of the COVID-19 pandemic. The research was a mixed-methods study, employing a descriptive-analytical approach which utilised three main methods of data collection. Firstly, semi-structured questionnaires distributed electronically among participants in the selected universities were used to collect research data. Secondly, follow-up online focus-group discussions (FGDs) were conducted to elicit participants' views on some of the ethical challenges posed by online learning and possible strategies for dealing with the challenges. Finally, follow-up telephone interviews were also conducted with lecturers with the same objective as the FGDs. The study's population consisted of 110 students and 77 academic staff randomly selected from six universities in Zimbabwe. Two of the selected universities were privately owned and four were public universities. The study showed some of the technological and pedagogical issues regarding students' participation and strategies for optimising students' participation during online learning. The study also shared some of the ethical challenges that arose from the adoption of online teaching and assessment systems and the policy, resource and training interventions needed to make online learning more interactive, while at the same time safeguarding academic integrity. The findings of this study, therefore, have implications for universities, learners and academic staff if online learning programmes are to be successful. Firstly, universities for instance, need to ensure that students and academic staff have the prerequisite technological resources to ensure that optimal active learning takes place. Secondly, to address the shortage of resources, universities should ensure that their libraries migrate from physical to digital libraries. Universities should also ensure that both academic staff and students receive the necessary training to access these digital libraries and the services they offer.

International Students' Perceptions towards Their Learning Experience in an International Network Seminar in Japan: During and Post the COVID-19 Pandemic

The COVID-19 pandemic has struck educational experience systems around the globe. This paper investigates and evaluates the student participants' perceptions who joined the international exchange seminar on global citizenship and peace held at a University in Hiroshima, Japan. Approximately seventy students and faculty members from nine to ten different universities from around the globe joined this summer program in August 2021 (online) and 2022 (face-to-face). This study is a mixed-method study. The first part consists of a quantitative analysis of BEVI data obtained from the students in the seminar before COVID-19 and after. The research concludes that there are no changes in the effects of what students learn. The second part consists of qualitative data. The data shows the perceptions of students of online teaching versus hybrid teaching. It compares the differences in participants' perceptions reported in students' feedback on the programs during and post-COVID-19. Our results confirm prominent differences exist in the students' perceptions of their learning experience during the pre-pandemic and post-pandemic periods. The findings indicate based on lessons learned post-pandemic, universities need to strive and define the meaning and purpose of international seminars, which enable students to experience a high level of intercultural social interaction online and face-to-face. As the world becomes more interconnected, virtual environments, such as the ones presented within the International Seminar in Hiroshima, Japan, are vital to facilitating intercultural teaching environments and the implications within this paper indicate that these virtual mediums can promote inclusion, leading to a more sustainable world.

Investigating Factors That Influence College Students' Online Continuous Learning Intention during COVID-19 Epidemic

This study aims to explore university students' continuous intention toward online learning during COVID-19 pandemic. A total of 120 students enrolled in online learning were surveyed to collect their perception of an extended model by adding task value to the expectation-confirmation model. Structural equation modeling was employed to verify the hypotheses proposed in this study. The results indicated that task value and technology usefulness were significant predictors of students' continuous intention toward online learning. More specifically, technology usefulness had a direct impact on students' continuous intention, while students' perceived task value played an indirect role in the prediction of their continuous intention. However, the impacts of both confirmation and satisfaction were not statistically significant on students' continuous intention. The results suggest that practitioners and researchers should pay special attention to the technological usefulness of online learning environments and task value, especially task value, in order to enhance students' retention of online learning. This study would contribute to implications to better design and implement online learning. © 2023 IEEE.

Achieving success in online teaching and learning: Strategies

Student enrollment for online education has seen a constant rise over the last two decades (Dixson, 2015) and has been very popular even before the COVID-19 pandemic. However, the unprecedented acceleration toward online teaching in Winter 2020 has taken many education institutions by surprise. This unwanted rapidness in transition to online teaching has created challenges for students, educators, and administrators alike. In this chapter we hope to bring some of those challenges to light. We present a literature review along with our own reflections on how student engagement has changed due to this sudden, unplanned transition to online teaching. Students and instructors are finding it difficult to navigate through these troubled times. We provide some suggestions on how to overcome these concerns. © Springer Nature Switzerland AG 2021. All rights reserved.

Multi-Joint Unit Network for COVID-19 Diagnosis using X-Ray and CT Images

The global COVID-19 pandemic has caused a health crisis globally. Automated diagnostic methods can control the spread of the pandemic, as well as assists physicians to tackle high workload conditions through the quick treatment of affected patients. Owing to the scarcity of medical images and from different resources, the present image heterogeneity has raised challenges for achieving effective approaches to network training and effectively learning robust features. We propose a multi-joint unit network for the diagnosis of COVID-19 using the joint unit module, which leverages the receptive fields from multiple resolutions for learning rich representations. Existing approaches usually employ a large number of layers to learn the features, which consequently requires more computational power and increases the network complexity. To compensate, our joint unit module extracts low-, same-, and high-resolution feature maps simultaneously using different phases. Later, these learned feature maps are fused and utilized for classification layers. We observed that our model helps to learn sufficient information for classification without a performance loss and with faster convergence. We used three public benchmark datasets to demonstrate the performance of our network. Our proposed network consistently outperforms existing state-of-the-art approaches by demonstrating better accuracy, sensitivity, and specificity and F1-score across all datasets. © 2022 ACM.

The impact of E-service quality, Facebook usage and Artificial Intelligence on E-learning systems: The mediating role of student satisfaction

The adoption of e-learning systems has been increasing and reports indicate that Asia has the highest percentage of the growth towards e-learning systems. Following this backdrop, the main purpose of the present study was to evaluate the role of the E-service quality, Facebook usage, artificial intelligence, and student satisfaction on the usage of the E-learning systems. Sample data was collected from students enrolled in any institute offering e-learning in Malaysia. A total of 500 questionnaires were disseminated to the participants identified via online polling and a total of 412 usable questionnaires were evaluated for SEM. The findings of the study show that the usage of Facebook, Artificial intelligence, the satisfaction of students, and E-service quality affected the use of the E-learning systems. Students' satisfaction was also found to positively mediate with AI, FBU, ESQ, and ELS. E-learning adoption is increasing in Malaysia and the recent outbreak of COVID-19 has also invigorated the need for the development of effective e-learning programs so that the education of students doesn't get interruptions. The present study has important theoretical and practical implications in this regard;the findings can be applied to the development of e-learning systems of the country

DaF, COVID-19, and newer technologies: Experiences from an Indian University

[...]flexibility ensures that students feel included and stay interested in learning. [...]dealing with varied genres allows students to get acquainted with different registers of the language. [...]the lack of physical classes also resulted in a lack of group activities. [...]as part of its policy of inclusion, JNU offers admission to students with visual impairment and also offers extra classes for them. [...]for overcoming the impersonal nature of online teaching, I made sure to get each student to speak in the class. The purpose was to ensure that students were active during the entire class. [...]I had to make sure that whilst recording the teaching session, I started recording only after having played the DW video.

Living the Virtual Life: Transitions in Teaching and Research

[...]after many such changes, relearning and reentering information into new profiles and management systems lost its luster. While believe that lecture course content can be delivered effectively online, there is an undeniable need for extensive hands-on laboratory experimentation in a physical science curriculum. [...]it provides more opportunities to reiterate key points to the students.

A comparison of online and face-to-face teaching of economically oriented master's degree university studies

PurposeThe aim of this paper is to evaluate the influence of distance learning of the subject Operational Research in terms of the impact of the COVID-19 pandemic on the quality of teaching and the success of this course, to find out the satisfaction of students with the online learning, and the impact on the performance.Design/methodology/approachGrades of students from the subject were collected from the Faculty of Business and Economics of Mendel University in Brno between 2009 and 2021. A questionnaire concerning the views of students on online teaching of the subject and its comparison with face-to-face teaching was conducted, and the data obtained from 94 respondents were statistically processed by cluster analysis and the K-means method.FindingsA comparison of the results of examinations from the years taught in classical face-to-face form and from the period when teaching took place only online showed no significant effect on the final grades of the students. The results show that the students were basically divided into two-halves: one-half that preferred online teaching and the other that supported a more face-to-face form of teaching. Most of the students highly appreciated the tutorial videos provided because of the possibility of repeated viewing.Originality/valueThe paper shows that online teaching may be a suitable replacement for standard teaching. The paper answers the question whether some online elements can be integrated in the standard form of teaching.