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1.
Working Notes of FIRE - 13th Forum for Information Retrieval Evaluation, FIRE-WN 2021 ; 3159:887-898, 2021.
Article in English | Scopus | ID: covidwho-1957805

ABSTRACT

Analyzing sentiments or opinions in code-mixed languages is gaining importance due to increase in the use of social media and online platforms especially during the Covid-19 pandemic. In a multilingual society like India, code-mixing and script mixing is quite common as people especially the younger generation are quite familiar in using more than one language. In view of this, the current paper describes the models submitted by our team MUCIC for the shared task in’Sentiments Analysis (SA) for Dravidian Languages in Code-Mixed Text’. The objective of this shared task is to develop and evaluate models for code-mixed datasets in three Dravidian languages, namely: Kannada, Malayalam, and Tamil mixed with English language resulting in Kannada-English (Ka-En), Malayalam-English (Ma-En), and Tamil-English (Ta-En) language pairs. N-grams of char, char sequences, and syllables features are transformed into feature vectors and are used to train three Machine Learning (ML) classifiers with majority voting. The predictions on the Test set obtained average weighted F1-scores of 0.628, 0.726, and 0.619 securing 2nd, 4th, and 5th ranks for Ka-En, Ma-En, and Ta-En language pairs respectively. © 2021 Copyright for this paper by its authors.

2.
4th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2022 ; Par F180472:603-607, 2022.
Article in English | Scopus | ID: covidwho-1950304

ABSTRACT

Online learning is playing a significant role, especially during the COVID-19 pandemic. In this study, we perform an interview study through in-depth interviews with 22 high school students of a developing country (Bangladesh) to find out about their experience and practices with online learning during the pandemic. Our findings reveal several usage strategies, challenges of the conventional usage of online learning, workarounds students adopt to address those challenges. Through the adaptability lens, we find that many students are adapting to online learning despite being in favor of it. © 2022 ACM.

3.
2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021 ; : 1061-1065, 2021.
Article in English | Scopus | ID: covidwho-1948736

ABSTRACT

The COVID-19 pandemic has forced the world to adopt online platforms and distance learning in most educational institutions. Multiple controversies have been discussed concerning the advantages and disadvantages of distance learning. This paper explores the distance learning process in Saudi Higher Education Institutions (HEIs) compared to in-person learning. Additionally, this paper investigates the impact of the COVID-19 pandemic on Saudi HEIs. This study utilized an online survey tool to examine the relationship between the distance learning process and students' achievement. The participants were 189 faculty members recruited from different Saudi HEIs. The questionnaire was composed of two sections;1) section one where the demographic data of the participants were collected, and 2) section two where the participants' perspectives concerning distance learning contributions, in-person learning contributions, feelings about distance learning, and experience after distance learning were reported. Based on their viewpoints, there is no important difference between distance learning and in-person sessions based on students' achievement levels. Additionally, there was no difference in faculty members' experiences when they used online platforms during the distance learning process. Our results demonstrate that academic institutions may consider training the faculty members to use technology and online platforms in lectures, communication with students, and other academic activities. © 2021 IEEE.

4.
14th International Conference on Social Computing and Social Media, SCSM 2022 Held as Part of the 24th HCI International Conference, HCII 2022 ; 13316 LNCS:103-114, 2022.
Article in English | Scopus | ID: covidwho-1919620

ABSTRACT

This study aimed to understand the attitudes and challenges faced by multicultural undergraduate students enrolled in academic writing classes. The focus of the study was on the use of formative feedback to scaffold the development of academic writing skills, including ways of conducting research and writing essays and reports using the online platform. The approach involved collecting and extracting relevant data from a survey that included questions related to the provision of formative feedback in academic writing classes for aspects of research related to analysing journal articles and summarising them while considering appropriate grammar use, vocabulary development, and research structure. Responses were obtained from 67 multicultural undergraduate students enrolled in different majors in a private university in the United Arab Emirates. The study results revealed a fair awareness of students’ existing difficulties with research and academic writing skills and their awareness of the importance of receiving constructive formative feedback in different ways to improve their written work. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

5.
J Contemp Dent Pract ; 23(3): 295-302, 2022 Mar 01.
Article in English | MEDLINE | ID: covidwho-1918784

ABSTRACT

BACKGROUND: Digitalization of education became a need of the hour when the COVID-19 pandemic affected the traditional modalities of learning, and it was widely implemented in various fields including dentistry. AIMS: The aim of this study was to assess the effectiveness of online learning against traditional learning systems among dental students in Chennai. METHODS AND MATERIALS: A Google Form questionnaire comprising 29 dental learning-based questions was designed and distributed to dental students across colleges in Chennai using online distribution platforms. The study responses were closed after the stipulated period of 1 month. The data were analyzed using SPSS software version 17. RESULTS: The survey was answered by 834 participants comprising 76.9% females and 22.3% males. Of the total study population, 71.1% of them did not have previous online learning experiences. Approximately, 15.5% of the study population were not satisfied with the facilities provided by the online learning platforms. Also, one-third of the study population reported difficulty during the presentation. Three-fourths of the study participants did not prefer online learning over traditional learning and reported that the attention span and communication between the students and teachers were lower in online classes. Overall, 43% of the study participants rated the quality of online video-based learning to be good and 8.5% found it to be poor. CONCLUSION: Online-based learning systems are evolving and can provide a wide array of knowledge from global experts. However, structured planning and technique may be needed for the dental curriculum.


Subject(s)
COVID-19 , Education, Distance , COVID-19/epidemiology , Education, Dental/methods , Education, Distance/methods , Female , Humans , India/epidemiology , Male , Pandemics/prevention & control , Surveys and Questionnaires
6.
3rd International Conference on Education Development and Studies, ICEDS 2022 ; : 64-70, 2022.
Article in English | Scopus | ID: covidwho-1902116

ABSTRACT

Today electrical learning or online learning is inevitable. This is evident with the COVID-19 pandemic causing education to be adjusted to be 100% online. This technique affects many courses that are usually taught in class and requires some workshops for working in a team. Product development and design is a course that requires a lot of adjustment from working and learning in class to be online. However, there is no explanation to guideline about which online methods and applications are suitable for this course. This paper, therefore, aims to design an online learning course for two product development and design courses that have different teaching conditions and environments by applying different online methods and applications such as live teaching and video, google classroom, and the SUT X-lane. An assessment comes from the results of the survey and scores of assignments and exams. Results show that teaching by recording video and conference video have their potential and is suitable in different environments and conditions regarding participants and time. However, teaching methods are not the main factor for the efficiency of studying. Self-controlled is an important factor for learning, which is high in mature students. Assignments and workshops can be done online by working on an online platform such as Padlet, Zoom, and Line applications. Some tasks that require laboratory such as creating physical products however could not be fulfilled by the online platform. This should be achieved if the online course is expected for future education. © 2022 ACM.

7.
17th International Conference on Topics in Astroparticle and Underground Physics, TAUP 2021 ; 2156, 2022.
Article in English | Scopus | ID: covidwho-1901008

ABSTRACT

With the onset of the COVID pandemic in 2020 all outreach and educational activities with in-person participation had to stop. The ALICE Collaboration adapted to the new situation and continued reaching out to the public using the multitude of online tools and platforms available. Here we focus on two of our main outreach activities, virtual visits and masterclasses. With the cancellation of all in-person visits, virtual visits became the only way to explore the experiment. ALICE had already been offering virtual visits for remote audiences with equipment installed in the ALICE Run Control Centre (ARC). We recently acquired dedicated mobile equipment for the virtual visits to the cavern and developed a scenario which includes both the cavern and the ARC as well as a Q&A session. In this way, visitors from many countries have the opportunity to interact with scientists and to see parts of the experiment that they would never be able to see during a real visit. Concerning the International Masterclasses (IMC) programme, ALICE has been participating ever since measurements based on LHC data were introduced in it. The packages used had been developed by simplifying the ALICE event display and were based on ROOT. With the spreading of the COVID pandemic the 2020 IMC programme was interrupted. In 2021, with most activities taking place remotely, it was obvious that web-based versions were needed. The implementation of such versions allowed us to hold remote masterclasses for high-school students, thus ensuring the continuity of this important outreach activity of our community. In addition we reached new countries and also involved high-school teachers in this global effort. © 2022 Institute of Physics Publishing. All rights reserved.

8.
4th International Conference Intelligent Computing and Communication, ICAC 2021 ; 430:519-527, 2022.
Article in English | Scopus | ID: covidwho-1877784

ABSTRACT

Because of the corona pandemic, most people were forced to quarantine to prevent this disease from spreading. For continuing work and not to stop the wheel of life, most people went to use training workshops to develop the skills of employees and commence different webinar meetings and conferences. Therefore, many platforms were used to conduct these workshops and scientific meetings. This study was carried out for evaluating the performance of these platforms based on data collected through an electronic questionnaire. The questionnaire is designed on base of answering by academic professors. The answers to that questionnaire express the point of view of the participants in the courses or e-learning and the lecturers. The platforms included in this study are the most used during these days called: Free Conference Call (FCC), Zoom, Webex, Google meet. The study addressed the issues to evaluate the most appropriate platform to use in point of view of lecturer or attendee. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

9.
13th IEEE Global Engineering Education Conference, EDUCON 2022 ; 2022-March:1938-1941, 2022.
Article in English | Scopus | ID: covidwho-1874222

ABSTRACT

The Covid-19 pandemic and the subsequent calls for self-isolation necessitated a shift to a remote fully online teaching and learning environment. This required a reflection on traditional ways of teaching, ways we expect our students to learn and how we use assessment. Effective facilitation and monitoring of student learning on an online platform presented a challenge. Our experience has shown that students were often unable to identify gaps, establish, understand, and develop their own learning in the challenging Vector Calculus course. An appropriate online assessment platform offered to address these challenges by motivating students to learn, through focusing their attention on the concepts to be mastered whilst developing their capacity to self-assess. Importantly, this online assessment system provided student performance feedback to the course facilitator allowing the design of necessary support for successful student learning. In this paper the design of a Vector Calculus course and the various learning activities that were coordinated to achieve assessment as learning for 60 Vector Calculus students, taking their assessments through an online assessment platform is discussed. © 2022 IEEE.

10.
2nd International Conference on Information Technology and Education, ICIT and E 2022 ; : 102-106, 2022.
Article in English | Scopus | ID: covidwho-1861092

ABSTRACT

This study is to determine the impact of COVID-19 on the job placements of MBA graduates. The relevant data of the placements of MBA graduates are gathered before and after COVID-19. Data analysis is performed to assess the impact. A significant impact of COVID-19 is found on the placement data of MBA graduates across India. It is found that due to Covid, the MBA job placements are down. However, it cannot be ascertained the cause of the fall of the placement due to Covid. The fall of placements can be due to a reduction in the jobs per se or due to a poor teaching-learning process during the period. The former cause is the limitation of the current study and can be taken up in the future. The latter cause of the fall of placements due to COVID-19 provides us with a few cogent implications. The whole teaching-learning process should be graduated and upgraded to incorporate the online process, which includes dissemination of knowledge, assessment, and examination via online platforms. There is a big learning curve, but it is doable and should be done to be ready for any future eventualities. © 2022 IEEE.

11.
2nd International Conference on Computer Science and Software Engineering, CSASE 2022 ; : 60-64, 2022.
Article in English | Scopus | ID: covidwho-1861087

ABSTRACT

The primary goal of this work was to establish the influence of the epidemic on education, especially the impact of online platforms on students' overall performance. To improve education quality in this new normal, it is vital to ascertain the elements influencing students' performance. During the Covid-19 epidemic, online-based learning (e-learning) activities increased significantly as every educational institution shifted its operations to digital means. To improve education quality in this circumstance, it is vital to ascertain the elements that influence students' performance. Data mining techniques are becoming more used in educational field research. Educational data mining is a new area that tries to study the unique, ever more extensive data sets generated by educational settings to better understand the students who use them. In this study, Iterative Dichotomiser 3 was implemented to explore precisely 280 students' data to evaluate its performance on an online learning platform. 10-fold cross-validation and the percentage split method were used to assess the classifier. In this analysis, the 10-fold cross-validation method outperformed the percentage split by almost 3 percent, where this validation method achieved almost 77.86 percent accuracy. The effectiveness of the ID3 classifier in predicting students' performance on an online platform will be investigated in this research. © 2022 IEEE.

12.
2022 zh Conference on Human Factors in Computing Systems, zh EA 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1846576

ABSTRACT

As COVID-19 spreads across the globe and the number of deaths continues to rise, the heartbreaking experiences are being replaced by collective mourning. As German journalist and pacifist Kurt Tukholsky once said: "The death of one man is a tragedy, the death of millions is a statistic". When we look back at the help-seeking posts of those who were lost, those who died of unconfirmed COVID-19 testing reports;those who committed suicide out of despair;those whose life-saving medical equipment were being taken away and those who lost their lives due to overwork and infection from their patients... Many of them were not included in the official statistics, and they are likely to be forgotten over time. They were not being treated fairly when they were alive, and they were not being mentioned after they passed away. We spoke to one of those families. One daughter said: "After this pandemic, who will remember someone such as my mother-she had nowhere to go for medical treatment;she was rejected by the hospital, and she had to die at home?"This is one of the reasons why we built this online platform. We want to document as many people who have left us because of the pandemic as possible. Our website also includes the help-seeking information these people posted before they passed away. These are the evidences they have left in a particular moment in this pandemic. We hope to provide a space for family members to express their grief and for the public to mourn the dead. Behind every number is a life. "Unfinished Farewell"can be viewed at www.farewell.care and www.jiabaoli.org/covid19 © 2022 Owner/Author.

13.
2021 European Physical Society Conference on High Energy Physics, EPS-HEP 2021 ; 398, 2021.
Article in English | Scopus | ID: covidwho-1842814

ABSTRACT

With the onset of the COVID pandemic in 2020 all outreach and educational activities with in-person participation had to stop. The ALICE Collaboration adapted to the new situation and continued reaching out to the public using the multitude of online tools and platforms available. Here we focus on two of our main outreach activities, virtual visits and masterclasses. With the cancellation of all in-person visits, virtual visits became the only way to explore the experiment. ALICE had already been offering virtual visits for remote audiences with equipment installed in the ALICE Run Control Centre (ARC). We recently acquired dedicated mobile equipment for the virtual visits to the cavern and developed a scenario which includes both the cavern and the ARC as well as a Q&A session. In this way, visitors from many countries have the opportunity to interact with scientists and to see parts of the experiment that they would never be able to see during a real visit. ALICE has been participating in the International Masterclasses (IMC) programme ever since measurements based on LHC data were introduced in it. The packages used had been developed by simplifying the ALICE event display and were based on ROOT. With the spreading of the COVID pandemic the 2020 IMC programme was interrupted. In 2021, with most activities taking place remotely, it was obvious that web-based versions were needed. The implementation of such versions allowed us to hold remote masterclasses for high-school students, thus ensuring the continuity of this important outreach activity of our community. In addition we reached new countries and also involved high-school teachers in this global effort. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

14.
13th International Scientific Conference on Law in Business of Selected Member States of the European Union ; : 200-208, 2021.
Article in English | Web of Science | ID: covidwho-1812922

ABSTRACT

Online platforms regulate and remove large amounts of illegal and harmful content (from content infringing IP rights to Covid-19 disinformation). Art. 18 of the proposed EU Digital Services Act Regulation ("DSA"), the most significant piece of regulation concerning online platforms, proposes a new system of "online courts" that would resolve any content-related disputes between platforms and their users. The paper discusses Art. 18 DSA (more precisely its version proposed by the European Commission, which is currently in the legislative process), the requirements it will place on dispute settlement bodies and the possible impact of these requirements on their operation and accessibility of such proceedings to users. It also briefly analyses the position of online platforms as defendants in content-related disputes and suggests changes to Art. 18 DSA that could be made to remove the identified shortcomings.

15.
Asia-Pacific Journal of Business Administration ; : 20, 2022.
Article in English | Web of Science | ID: covidwho-1799406

ABSTRACT

Purpose Companies' relationship with their customers through e-commerce platforms has increased considerably in the past few years, bringing new challenges concerning service guarantees (SG). This study aims to propose a framework of the relations between customers' expectations on SG, their negative experiences and their attitudes and behavioural intentions towards an e-commerce platform. Design/methodology/approach The research had a qualitative and descriptive approach. Testimonials from clients of an online e-commerce platform were obtained through interviews via videoconference and non-participant observation on a complaints website in Brazil. The testimonies were analysed through content analysis. Findings The customer expectations regarding the SG offered by the e-commerce platform are congruent with the five categories of the theory that support this research. Customer testimonials on the complaints site show that their negative experiences with the e-commerce platform generated negative emotional, cognitive and behavioural responses towards the company. A framework was proposed, including customers' expectations regarding SG, their negative experiences and their repercussions on clients' attitudes and behavioural intentions. Originality/value This article is the only that contemplates customers' expectations about SG in an e-commerce platform, relating them to attitudes and behavioural intentions. Thus, its framework demonstrates the relationships between customer expectations about SGs, their negative experiences and attitudinal and behavioural repercussions. This article brings academic and managerial contributions for companies and managers of e-commerce platforms. It contributes to clients and consumer protection associations by revealing problems they face with SG on e-commerce platforms. This research can be used by those responsible for elaborating laws and public policies to regulate and inspect the relationships between e-commerce platforms and their customers.

16.
8th International Conference on Social Network Analysis, Management and Security, SNAMS 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1788770

ABSTRACT

Human mobility using different modes of transportation is constantly increasing. The culture of posting activities while travelling has gained attention on social networks immensely. The evolution of social networking platforms has resulted in an engaging user base multiplying across the globe. The combination of data and information created by these online platforms is massive in terms of the volume and variety of topics. The real-time existence of user-produced information has inspired researchers to analyze material to obtain real-time insight into current affairs. The focus is on collecting tweets of real-time travelling activities for the first 100 days of Covid-19 keeping Chinese Airports as the source. This paper illustrates the multidimensional visualization of real-time covid-19 spread from China neighbouring East Asian countries to the rest of the world. The visualization tools used are python folium, matplotlib networks/graphx, Carto, Tableau, Google Data Studio, and MS Excel. © 2021 IEEE.

17.
2022 International Conference for Advancement in Technology, ICONAT 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1788726

ABSTRACT

The spreading of hate speech and toxicity on social media and other online platforms has increased severely in the past decade. In the current scenario also, when the whole world is suffering with outspread of COVID-19 online hate speech spreading more than before. The spread of such hate can jeopardize the mental and physical health of many people and is thus necessary to stop its spread on online social media. This paper aims to explore bioinspired algorithms like PSO and GA to detect online hate speech on social media and other online platforms. We explore the hybrid feature selection approach to select valuable and meaningful features from the hate speech dataset to classify between hate and not hate posts efficiently. Our experiments indicate the random behavior of Particle Swarm Optimization and Genetic Algorithm and the decrease in accuracy when applied individually to the experiments. The proposed hybrid approach gives the comparative results as TF-IDF when applied with the baseline machine learning models. © 2022 IEEE.

18.
3rd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2021 ; : 69-73, 2021.
Article in English | Scopus | ID: covidwho-1779111

ABSTRACT

COVID-19 vaccine is a hot topic in online platforms due to the ongoing pandemic. Most studies on sentiment analysis of COVID-19 vaccines on Indonesian social media posts only used one or two classifiers with few modifications. This research investigated sentiment analysis using seven machine learning techniques on Twitter dataset in which the one with the highest evaluation value will be used to predict on other unlabeled Twitter datasets as well as news headlines dataset. The same classifier is also used to build a visualization dashboard that reflect the result of the sentiments. The result from the sentiment classification is then used to identify the topics, by using word cloud. The experiment revealed that SVM classifier has the highest accuracy and micro average F1-measure, which is 84% and 0.76. This classifier managed to capture similar patterns of sentiments in Twitter and news headlines datasets, which is dominated by neutral sentiment. Some of the topics from each sentiment, managed to reflect the real condition when the datasets were collected. © 2021 IEEE.

19.
4th International Conference on Computing and Communications Technologies, ICCCT 2021 ; : 361-366, 2021.
Article in English | Scopus | ID: covidwho-1769588

ABSTRACT

In this contemporary world, the development of telecommunication technology is far beyond the human knowledge that allows people to stay connected who are detached thousands of miles away by the internet. An integrated mobile app is created in such a way that it enhances the life of farmers both in their financial and mental status. Telehealth care systems emerged as one of the best alternate remedies for treating people during this covid-19 crises, By video conferencing technology, doctors are likely to treat farmers who are emotionally and mentally downhearted. Tata Communications-Confidential It is as effective as traditional way of counselling in person and it's a proven fact. Not only for farmers but also crops need some attention as it is prone to some diseases, to tackle that issue experts will be providing consultations to the farmers by pre-booking them. Economic growth is highly distressed due to global pandemic, so retailing farmers goods to consumers in online platforms would greatly increase the economic growth and reduce price despite the secondary agents. Loan facilities which are available around the location of the farmers are made aware to them, Thus it will greatly influence their basic survival in agriculture. © 2021 IEEE.

20.
CHI Conference on Human Factors in Computing Systems ; 2021.
Article in English | Web of Science | ID: covidwho-1759459

ABSTRACT

The COVID-19 pandemic and subsequent closure of schools forced families across the globe to transition to school at home. This unprecedented context is likely to have a lasting impact on the practice of schooling and the role of online, digital platforms within school contexts. In this paper we present a contextual inquiry of an 'emergency home school context', detailing how nine young families in Melbourne, Australia adapted to the unexpected introduction of school to the home following the government-directed closure of schools. Through an online interview and photo-journal study, we develop an emplaced understanding of the context detailing how the relations between people and places around the home evolved over time. We present fve design considerations for digital platforms to support the emergency home school context, placing focus on the fuid roles, relationships and evolving sense of place.

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