ABSTRACT
As a critical influencing factor of learning engagement, teacher expectation plays a vital role in ensuring the quality of online teaching under COVID-19. This paper investigates the relationship between teacher expectations (three dimensions of teacher support, teaching interaction, and academic feedback) on students' online English learning engagement (three dimensions of cognitive engagement, behavioral engagement, and emotional engagement) in e-learning through a questionnaire survey of 513 college students. Pearson correlation analysis and multiple regression analysis were applied as research methods. The results manifest that college students' online English learning engagement was above average, but emotional engagement needs improvement. In addition, teacher expectations of teaching interaction positively and significantly predict English e-learning engagement. Based on this, the article puts forward suggestions on the future of online teaching from the aspects of online teaching design, feedback quality of teachers and students, innovative teaching practice of technology empowerment to effectively play the role of teachers as scaffolding and improve the effectiveness of online English teaching. © 2023 IEEE.
ABSTRACT
The COVID-19 condition had a substantial impact on the education sector, corporate sector and even the life of individual. With this pandemic situation e-learning/distance learning has become certain in the education sector. In spite of being beneficial to students and teachers, its efficacy in the education domain depends on several factors such as handiness of ICT devices in various socio economic groups of people and accessible internet facility. To analyze the effectiveness of this new system of e learning Sentiment Analysis plays a predominant role in identifying the user's perception. This paper focus on identifying opinions of social media users i.e. Twitter on the most prevailing issue of online learning. To analyze the subjectivity and polarity of the dynamic tweets extracted from Twitter the proposed study adopts TextBlob. As Machine Learning (ML) models and techniques manifests superior accuracy and efficacy in opinion classification, the proposed solution uses, TF-IDF (Term Frequency-Inverse Document Frequency) as feature extraction technique to build and evaluate the model. This manuscript analyses the performance of Multinomial Naive Bayes Classifier, DecisionTreeClassifier, SVC and MLP Classifier with respect to performance measure as Accuracy. © 2022 IEEE.
ABSTRACT
As the COVID-19 pandemic resulted in school closures since early 2020, children have spent more time online through virtual classrooms using educational technology (EdTech) and videoconferencing applications. This increased presence of children online exposes them to more risk of cyber threats. Here, we present a review of the current research and policies to protect children while online. We seek to answer four key questions: what are the online threats against children when learning online, what is known about children's cybersecurity awareness, what government policies and recommendations are implemented and proposed to protect children online, and what are the proposed and existing efforts to teach cybersecurity to childrenƒ Our study emphasizes the online risks to children and the importance of protective government policies and educational initiatives that give kids the knowledge and empowerment to protect themselves online. © 2023 IEEE.
ABSTRACT
Since the Covid-19 outbreak in March 2020, e-learning has become a necessity. There may have been some uncertainty on how to perform e-learning properly because many educational institutions may not have expected the rapid change in learning style. This is especially true when it comes to offering an e-learning management system (LMS). This study aims to examine the affordances of higher education institutions in Indonesia in conducting the e-learning during the pandemic. To understand more about the adoption of e-learning in their individual institutions, we conducted an online survey towards 100 university lecturers from several cities. The results revealed that 79% of the participants used a specially built LMS in their universities, while the rest still used commercially built LMS like Moodle. Then, 82% of the participants prefer blended learning model which combined face-To-face and e-learning models, and 46% of them wanted to have a fifty-fifty division between face to face and e-learning. As for the challenges, no interaction with students was deemed as the most disturbing challenge for the lecturers. The results imply that e-learning will continue to be implemented in Indonesia, regardless of the condition of the pandemic. Thus, universities should provide an e-LMS that can cater all the e-learning needs, while lecturers should also equip themselves with pedagogical as well as technological skills to face the e-learning challenges. © 2023 IEEE.
ABSTRACT
The pandemic situation is affected in various ways in the education domain. The sudden transformation from offline to online teaching-learning process made students and teachers use different tools like WhatsApp for communication. The reason for this consideration is to investigate the impacts of WhatsApp utilized for instruction and decide the suppositions of understudies towards the method. The study is designed, keeping in mind the current COVID-19 situation and how it affected the education system turning it into online mode. On different questionnaires, regression and heatmap analysis is performed. The investigation showed that both learning situations have diverse impacts on the victory of understudies while supporting the conventional environment by utilizing WhatsApp is more successful for the increment of victory. The assessment moreover showed that students had superior pleasant reviews closer to the usage of WhatsApp in their courses. They requested the same workout in their one-of-a-kind courses as well. They expressed that picking up information can moreover take out unwittingly and the messages with pics were more prominent and viable for their picking up information. Be that as it may, some college understudies have communicated harming audits approximately the timing of a few posts and the repetitive posts within the bunch. At long last, it is supported that the utilization of WhatsApp within the preparing framework is to be energized as a steady innovation. . © 2023 IEEE.
ABSTRACT
High dropout rate is a critical problem in MOOCs. The prime objective of this study is to identify possible dropout students at the early stage of the course and reducing the number of dropouts providing proper feedback to address the relevant factor. A prediction model based on stacking ensemble machine learning is proposed to identify whether a learner is at risk of dropping a course. The proposed stacked ensemble model outperformed with an accuracy of 93.4% compared to other popular machine learning classifiers. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The changes forced by the COVID-19 pandemic, have made educational institutions adopt new practices in the use of VLEs platforms and, one of these is to homogenize virtual classrooms, for which this study aims to diagnose how effective are the digital resources for cloned courses, taking as a pilot the subject of Linear Algebra. The development of this research is longitudinal, empirical-analytical, and quantitative. The study is carried out in two periods, from October 2021 to September 2022, at the Salesian Polytechnic University in the city of Guayaquil, Ecuador, with a total of 944 first year students of engineering careers. As a result, fewer courses for academic risk monitoring were obtained, as well as a higher satisfaction among students and professors involved. It is concluded that the cloned classrooms are a factor of improvement in the learning results to be achieved. © 2023 IEEE.
ABSTRACT
Educational robots allow students deepen their knowledge of mathematics and scientific concepts. Educational Robotic coding clubs provide a learning environment for K-6 students that promotes coding through STEM digital literacy. Students in educationally disadvantaged families may not have the educational and financial capital to engage in STEM learning. Closures of schools and afterschool services during the COVID-19 pandemic increased this digital divide. This research proposes a framework for delivering a virtual robotic coding club in an educationally disadvantaged community. The framework develops young people's emotional engagement in STEM through robotic coding. Synchronous online classes were delivered into family homes using Zoom. Results demonstrate that children achieved emotional engagement as reported through high levels of enjoyment and increased interest after participating in the programme. The research shows promise in increasing children's STEM skills and knowledge, and in improving positive attitudes towards STEM for children and parents. © 2023 IEEE.
ABSTRACT
The key objective of our study involves devising a conceptual model for estimation of social media acceptance by students for effectively accomplishing their educational and academic goals. Factors e.g., perceived social capital, social influence, and perceived mobility that associated with student acceptance of social media were investigated, and integrated into the TAM model using the PLS-SEM. Data were collected through online survey (461 students) at UAE universities. The findings revealed that mentioned factors positively affected students' intention to use social media during their learning process. Respondents' behavioral intention were also linked to both the core and external constructs of the TAM. Important practical insights on technology acceptance in education were provided. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic has caused an acceleration unlike any other in terms of digital and technological acceleration for the entire world and also within Malaysia. The sudden and rapid need for organisations as well as businesses to shift their day-to-day operations online has changed the way people are working everywhere. And what that means is now more than ever, there is a huge increase in demand for a workforce that is ready and can pioneer this new age of rising technological needs in conjunction with the government's aim of heading towards Industrial Revolution 4.0 (IR 4.0). Micro-credential (MC) has grown in popularity in recent years and have been labelled as a new disruptor to lifelong learning and higher learning. The Malaysian workforce and job seekers now have more options in their reskilling and upskilling efforts as they seek to remain relevant in the present-day job market which has shifted towards a digital transformation. An extensive study is proposed to be done to explore the current status quo of MC in Malaysia from the viewpoint of the hiring parties in the tech-related job markets as well as how MC will be able to play a part in the continuous growth of the tech and digital ecosystem in Malaysia. © 2023 IEEE.
ABSTRACT
Extensive research has demonstrated the importance of e-learning during COVID-19. However, a study to check whether the virus has caused a trend change in educational research lines is lacking. This paper reviews the temporal evolution of publications on virtual laboratories (VLs) in education, analyzing the relationship between its recent boom and the advent of COVID-19. For this purpose, a bibliographic study was carried out in the Scopus database seeking different VLs synonyms in the title, , and keywords of articles published between 1990 and 2022. The analysis results determine that the logistical needs imposed by the COVID-19 pandemic have been found to magnify the use of VLs, increasing scientific production by more than 90% in 2021 compared to the average obtained between 2011-2020. It has also been estimated that with the return to face-to-face teaching, production has decreased by 20% in 2022 compared to 2021. © 2023 IEEE.
ABSTRACT
Engaging students' personalized data in the aspects of education has been on focus by different researchers. This paper considers it vital for exploring the student's progress, moreover, it could predict the student's level which consequently leads to identifying the required student material to raise his current education level. Although the topic has been vital before the COVID-19 pandemic, however, the importance of the topic has increased exponentially ever since. The research supports the decision-makers in educational institutions as considering personalized data for the student's educational tasks and activities proved the positive impact of raising the student level. The paper proposes a framework that considers the students' personal data in predicting their learning skills as well as their educational level. The research included engaging five well-known clustering algorithms, one of the most successful classification algorithms, and a set of 10 features selection techniques. The research applied two main experiment phases, the first phase focused on predicting the students' learning skills, and the second focused on predicting the students' level. Two datasets are involved in the experiments and their sources are mentioned. The research revealed the success of the clustering and prediction tasks by applying the selected techniques to the datasets. The research concluded that the highest clustering algorithm accuracy is enhanced k-means (EKM) and the highest contributing features selection method is the evolutionary computation method. © 2023 World Scientific Publishing Company.
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Quality education is the fundamental right of every individual regardless of the disabilities they have. For the Deaf or Hard of Hearing (d/DHH) people, e-learning is the most promising way to access the educational materials referred to as digital learning objects (LO) at any time and space which increase their autonomous learning skills. This form of instruction delivery was widely accepted during the outbreak of Covid-19. Hence a background study has been conducted to investigate the challenges in teaching the d/DHH learners during the pandemic. This research work aims at providing a personalized e-learning environment to the d/DHH student community belonging to St. Clare Oral Higher Secondary School for The Deaf, situated in Kerala. To build personalized systems, the primary step is to review the existing e-learning solutions available in the literature and the adaptation techniques implemented by them to offer personalization in line with the components of traditional adaptive e-learning systems. The study carried out in this paper illuminates the need of personalized e-learning platforms that adapt the basic needs, abilities and disabilities of deaf learners which will find the 'best learning solutions' in the form of learning objects. © 2023 IEEE.
ABSTRACT
The unexpected outbreak of the Corona virus (COVID-19) disrupted schools and universities around the world. Traditional classes were canceled, forcing schools and universities to switch to online learning. While developed countries have already adopted e-learning and online learning into their teaching practices, which made the transition relatively easy during the COVID-19 crisis, other developing countries continue to struggle with problems of electricity and information technology infrastructure. The purpose of this paper is to investigate the challenges of online learning faced by students and teachers at the Faculty of Sciences Ain Chock, Hassan II University of Casablanca, Morocco. Thus, two anonymous structured Google Forms questionnaires were sent to participants via email. 498 responses were returned from students and 105 from teachers. We use descriptive statistics to better understand the distribution of study participants. The study reveals that the faculty during the lockdown ensured educational continuity and offered a reliable online learning in terms of digital and educational materials. However, technical problems such as the slow speed of the Internet connection, lack of knowledge about the use of information and communication technologies to teach and learn, low motivation of students, were significant challenges to students' and teachers' use of the digital tools. © 2023, International Journal of Emerging Technologies in Learning. All Rights Reserved.
ABSTRACT
E-Learning has shown to be an important resource, particularly in recent times due to the limitations in the Sars-CoV-2 pandemic. Several ways to deliver lessons through the Internet were used but both instructors and students complained about visual outputs. An evaluation of the most proficient techniques to create video-based lessons is highly relevant and critical. Seventy-eight students participated to 30 h of university online courses delivered through MS Teams, in which OBS (Open Broadcaster Software) Studio was used to create the lessons. The software allowed merging: a) MS Powerpoint slides, b) the instructor through a webcam, c) pictures of background sceneries. After the end of the courses, students filled in a questionnaire evaluating pictures taken from different e-learning sceneries. The OBS-based situation obtained the best evaluation in all measures (fruition, attention keeping and promotion of learning) and the highest rank when participants were asked to compare all the sceneries. These results confirm that students prefer reality-based sceneries, in which the most informative aspects (face, body and voice of the instructor, and the slides used for the lesson) are all present. Beside other obvious factors related to the quality of teaching, e-learning should also definitely consider visual features. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
E-Learning and Massive Open Online Courses are old techniques, but since the Coronavirus, they have become more popular again. Students already suffer from a lack of concentration and motivation in traditional courses;thus, this lack affects online courses. Furthermore, another important Online Learning systems problem is the difference between learners in terms of Learning Styles, abilities, social characteristics as well as preferences, background, and other psychological and mental features. Generally, these features are not taken into account by scientists. Therefore, Deep Learning techniques and Datasets have been used to improve E-Learning systems and MOOCs in several aspects such as: predicting dropout, Learning Styles and performance of online learners, and even their attention after taking an online course. In this work, we have studied and analyzed many recent works in the area of using Deep Learning techniques to improve Online Learning systems and MOOCs. This analysis shows what researchers rely on to improve E-Learning and MOOCs and demonstrates that research does not use the definition of the appropriate Learning Style frequently. However, the most used ones are dropout and performance of learners. In another hand, learners' attention is still gap. © 2022 IEEE.
ABSTRACT
During the Covid-19 lockdowns, e-learning and e-assessment became immensely popular worldwide. Exam Wizard is a web-based online e-assessment platform which provides a variety of features including question pool creation, automatic grading, automatic resumption, reusability, simplicity, exam monitoring and scheduling, weighted questions, a count-down timer, and automatic generation of statistics. Exam Wizard supports three kinds of users: administrators, instructors and students. This paper describes some new features of Exam Wizard, as well as the responsibilities and the User Interfaces (UI) of each user role. In addition, this paper describes the instructor's experience from the use of Exam Wizard in pilot tests and midterm exams of technical courses offered by a higher education institution. The instructor found the tool useful because it produces immediate results, saving time and effort;when the instructor's time is limited or in the case of large classes, e-assessment is the only viable option. During the evaluation of Exam Wizard the students appreciated the fact that they received immediate feedback, and the instructor happily stated that as long as there are questions banks available, it is a matter of minutes to create a new exam. © 2022 ACM.
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Purpose: This paper aims to review the critical challenges and factors influencing the successful adoption of electronic learning (e-learning) systems in higher educational institutions before and during the current propagation of the coronavirus disease 2019 (COVID-19) pandemic. Design/methodology/approach: This study undertook a literature review concerning the in-depth revision of previous studies published in 2020 and 2021. A total of 100 out of 170 selected research papers were adopted to identify and recognise the factors restricting the application of e-learning systems. Findings: The findings determine and illuminate the most challenging factors that impact the successful application of online learning, particularly during the wide propagation of the COVID-19 pandemic. The review of the literature provides evidence that technological, organisational and behavioural issues constitute significant drivers that frontier the facilitation of the e-learning process in higher educational institutions. Practical implications: The current paper suggests a guide for managers and scholars in educational institutions and acts as a roadmap for practitioners and academics in the educational field and policymakers as this research spotlights the significant factors challenging the e-learning process before and during the pandemic crisis. Originality/value: The provided in-depth literature review in this research will support the researchers and system designers with a comprehensive review and recent studies conducted before and during the COVID-19 pandemic considering the factors limiting the e-learning process. This paper formulates a valuable contribution to the body of knowledge that will assist the stakeholders in the higher educational institutions' context. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0085. © 2023, Emerald Publishing Limited.
ABSTRACT
The use of technological tools has robustly come to the forefront in form of e-learning with the onset of COVID-19. In the light of the accelerated shift to online classes by the educational institutions in response to the outbreak of the pandemic, the study aims to apply the technology acceptance model (TAM2) to examine the impact of students' social influence, perceived usefulness, and perceived ease of use on e-learning intention in higher education during COVID-19. Data collected from students of different universities from the Northern region of India were analysed using structural equation modelling. The results revealed that a significant relationship exists between social influence and perceived usefulness of e-learning behavioural intention. The study also confirms the mediation of perceived usefulness between social influence and e-learning behavioural intention and the mediation of perceived usefulness between perceived ease of use and e-learning behavioural intention. The study revealed that social influence and perceived usefulness are the key factors for the acceptance of e-learning in higher education during COVID-19 pandemic. The main contribution to the study is developing a better understanding of variables that influence the adoption and use of e-learning with special reference to an outbreak of COVID-19. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
One of the common practices during the COVID-19 pandemic is to work or study from home. This study aims to reexamine the factors affecting individual continuance intention of e-learning. During the pandemic, via a survey conducted in 2022, we assessed workers' continuance intention of e-learning from different sectors in Taiwan. This research brought motivations as mediators in continuance intention to e-learning. Through the statistical analysis, we identified the mediation effect of motivations based on the self-determination theory. The results show that autonomous motivation facilitates the learners' computer self-efficacy, the quality of the system and content toward continuance intention;controlled motivation could mediate the monetary award in influencing the continuance intention. The internalization of motivation is also an effective mediator. The obtained results not only add new knowledge of what affected the continuance intention of e-learning during the pandemic but also provide guidance for employers to allocate resources to boost e-learning after the pandemic. © 2023 IEEE Computer Society. All rights reserved.