Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994084
S. Bani-Mohammad, I. Ababneh
This research work aims to study challenges faced Al al-Bayt University faculty members during the transition from traditional (face-to-face) learning to online learning during the corona pandemic (COVID-19) and highlight successful online learning policies adopted. In this research work, the challenges facing faculty members in their efforts to alleviate the obstacles facing students while learning online are identified using question and solution-based analysis. The successful policies they adopted provide many practical methods for faculty members and leaders to follow for online learning. The research work results are also expected to provide faculty members with a clear and insightful view on how to successfully integrate online learning into traditional learning within the blended learning approach.
{"title":"Challenges and Strategies for Online Learning: A Rapid Evaluation of Transitioning from Face-to-Face Learning to Online Learning during the COVID-19 Pandemic from the Perspective of Al al-Bayt University Faculty Members","authors":"S. Bani-Mohammad, I. Ababneh","doi":"10.1109/ACIT57182.2022.9994084","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994084","url":null,"abstract":"This research work aims to study challenges faced Al al-Bayt University faculty members during the transition from traditional (face-to-face) learning to online learning during the corona pandemic (COVID-19) and highlight successful online learning policies adopted. In this research work, the challenges facing faculty members in their efforts to alleviate the obstacles facing students while learning online are identified using question and solution-based analysis. The successful policies they adopted provide many practical methods for faculty members and leaders to follow for online learning. The research work results are also expected to provide faculty members with a clear and insightful view on how to successfully integrate online learning into traditional learning within the blended learning approach.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115492807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994088
Aliakbar Al-Obeidi, Muaath S. Al-Mulla
Artificial intelligence (AI) systems have a major role in making decisions affecting humans in the present era, however, they still suffer from several shortcomings, the most important of which is the inability of the human element to understand the mechanism of action of these systems and the foundations upon the decision basis. Ambiguity also makes it impossible to assign responsibility and control potential AI biases. Thus, international and national standards were set to counteract the negative consequences, among the most important international standards are the recommendations set by UNESCO for the ethics of artificial intelligence. While on the United Arab Emirates Level, this study addresses the basis of this explanation right in its Constitution, in the Civil Procedures Law and Smart Dubai Department Law No. (1) of 2020, which was enacted in order to enhance the status of the Emirate of Dubai and support its efforts towards transformation into smart cities. The authors relied on an analytical and descriptive approach to the various legislative provisions related to the right to explain. The study concluded that there is no explicit legal provision at the UAE level that establishes the right of people to have AI decisions explained. However, this right has been recognized at the international level in the nonbinding UNESCO guidelines. The study reached a recommendation that lawmakers at the international and national levels should pay more attention to the right to explanation of AI decisions, and they should recognize this right with explicit and binding legal texts.
{"title":"The Legal Basis of the Right to Explanation for Artificial Intelligence Decisions in UAE Law","authors":"Aliakbar Al-Obeidi, Muaath S. Al-Mulla","doi":"10.1109/ACIT57182.2022.9994088","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994088","url":null,"abstract":"Artificial intelligence (AI) systems have a major role in making decisions affecting humans in the present era, however, they still suffer from several shortcomings, the most important of which is the inability of the human element to understand the mechanism of action of these systems and the foundations upon the decision basis. Ambiguity also makes it impossible to assign responsibility and control potential AI biases. Thus, international and national standards were set to counteract the negative consequences, among the most important international standards are the recommendations set by UNESCO for the ethics of artificial intelligence. While on the United Arab Emirates Level, this study addresses the basis of this explanation right in its Constitution, in the Civil Procedures Law and Smart Dubai Department Law No. (1) of 2020, which was enacted in order to enhance the status of the Emirate of Dubai and support its efforts towards transformation into smart cities. The authors relied on an analytical and descriptive approach to the various legislative provisions related to the right to explain. The study concluded that there is no explicit legal provision at the UAE level that establishes the right of people to have AI decisions explained. However, this right has been recognized at the international level in the nonbinding UNESCO guidelines. The study reached a recommendation that lawmakers at the international and national levels should pay more attention to the right to explanation of AI decisions, and they should recognize this right with explicit and binding legal texts.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114516079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994192
Aicha Nouisser, Ramzi Zouari, M. Kherallah
Facial emotion recognition plays an important role in identifying the psychological state of persons. In this context, we proposed an efficient system for facial emotion recognition based on hybrid MobileN et and Residual block architecture. This system proceeds by eliminating irrelevant images and cropping the remaining ones on face region. Moreover, we applied both under-sampling and SMOTE algorithms to overcome the problem of unbalanced dataset. On the other hand, several techniques were applied to prevent overfitting such as early stopping, mini batch shuffling and focal loss. The experiments were done on the public dataset Fer2013 based on transfer learning technique and showed very promising results that achieved the accuracy of 95.64%.
{"title":"Enhanced MobileNet and transfer learning for facial emotion recognition","authors":"Aicha Nouisser, Ramzi Zouari, M. Kherallah","doi":"10.1109/ACIT57182.2022.9994192","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994192","url":null,"abstract":"Facial emotion recognition plays an important role in identifying the psychological state of persons. In this context, we proposed an efficient system for facial emotion recognition based on hybrid MobileN et and Residual block architecture. This system proceeds by eliminating irrelevant images and cropping the remaining ones on face region. Moreover, we applied both under-sampling and SMOTE algorithms to overcome the problem of unbalanced dataset. On the other hand, several techniques were applied to prevent overfitting such as early stopping, mini batch shuffling and focal loss. The experiments were done on the public dataset Fer2013 based on transfer learning technique and showed very promising results that achieved the accuracy of 95.64%.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126148301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994089
Rana Mahmoud, Lama Mahmoud
A Chebyshev microstrip 3rd order tunable bandpass filter designed for GPS application is represented in this paper. The designed filter is operated at a downlink frequency of 1.5 GHz with a passband bandwidth of 0.2 GHz. The circuit of purpose is simulated using a substrate with a 3.38 dielectric constant, 0.813 mm substrate thickness, and 0.0027 loss tangent. This paper investigates two different methods of filter tunability which are the capacitively loaded coupled sections and tunability using a series capacitor. Moreover, the filter performance has been justified using the ideal capacitors and variable capacitors (Varactor) model. The proposed circuit has been designed and simulated using ADS software.
{"title":"Planar Tunable 3rd Order Bandpass Filter for GPS Applications","authors":"Rana Mahmoud, Lama Mahmoud","doi":"10.1109/ACIT57182.2022.9994089","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994089","url":null,"abstract":"A Chebyshev microstrip 3rd order tunable bandpass filter designed for GPS application is represented in this paper. The designed filter is operated at a downlink frequency of 1.5 GHz with a passband bandwidth of 0.2 GHz. The circuit of purpose is simulated using a substrate with a 3.38 dielectric constant, 0.813 mm substrate thickness, and 0.0027 loss tangent. This paper investigates two different methods of filter tunability which are the capacitively loaded coupled sections and tunability using a series capacitor. Moreover, the filter performance has been justified using the ideal capacitors and variable capacitors (Varactor) model. The proposed circuit has been designed and simulated using ADS software.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124885963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994221
M. Al-Mousa, Qutaiba Al-Zaqebah, Ala'a Saeb Al-Sherideh, Mohammed Al-Ghanim, G. Samara, Sattam Al-Matarneh, Mahmoud Asassfeh
The examination of digital forensic evidence is a science highlighting the main areas of progress in forensic science. Various social media sites (SNS) providing e-mail services, messages, pictures, and videos have brought about a huge explosion in development. In recent times, Digital Forensics has expanded to be used in all institutions and companies, especially financial companies, pharmaceutical companies, and investment companies. With this electronic development, criminal activities have dramatically increased to obtain and steal data for personal or international interests or the so-called data theft. Therefore, the biggest challenge lies in protecting this information from theft and searching for digital forensic evidence so that the digital evidence is correct and sound from a forensic point of view. Against this, this paper provides a detailed review of the most important Android applications in digital forensics to attain, retrieve, and compare information altogether.
{"title":"Examining Digital Forensic Evidence for Android Applications","authors":"M. Al-Mousa, Qutaiba Al-Zaqebah, Ala'a Saeb Al-Sherideh, Mohammed Al-Ghanim, G. Samara, Sattam Al-Matarneh, Mahmoud Asassfeh","doi":"10.1109/ACIT57182.2022.9994221","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994221","url":null,"abstract":"The examination of digital forensic evidence is a science highlighting the main areas of progress in forensic science. Various social media sites (SNS) providing e-mail services, messages, pictures, and videos have brought about a huge explosion in development. In recent times, Digital Forensics has expanded to be used in all institutions and companies, especially financial companies, pharmaceutical companies, and investment companies. With this electronic development, criminal activities have dramatically increased to obtain and steal data for personal or international interests or the so-called data theft. Therefore, the biggest challenge lies in protecting this information from theft and searching for digital forensic evidence so that the digital evidence is correct and sound from a forensic point of view. Against this, this paper provides a detailed review of the most important Android applications in digital forensics to attain, retrieve, and compare information altogether.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123272076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994095
Dalila Othmen, Ramzi Zouari, H. Boubaker, M. Kherallah
Handwriting recognition is an active research area in document analysis field. In the few last decades, a rapid growth and a frequent use of data entry devices was observed. Consequently, several approaches have focused on online handwriting modeling and recognition. In this paper, we presented a new system for online Arabic handwriting recognition based on beta-elliptic modeling and one dimensional Residual Neural Networks. Beta-elliptic model was applied to extract the dynamic and geometric characteristics of the trajectory, whereas the developed Residual Network is based on temporal convolution and skip connections and it has ability to represent the sequential aspect of the input data. The experiments have been done on the public Arabic handwriting dataset LMCA and showed the effectiveness of the proposed recognition model that reached the accuracy of 96.87%.
{"title":"Temporal Convolution based Skip Connections for Online Arabic Handwriting Recognition","authors":"Dalila Othmen, Ramzi Zouari, H. Boubaker, M. Kherallah","doi":"10.1109/ACIT57182.2022.9994095","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994095","url":null,"abstract":"Handwriting recognition is an active research area in document analysis field. In the few last decades, a rapid growth and a frequent use of data entry devices was observed. Consequently, several approaches have focused on online handwriting modeling and recognition. In this paper, we presented a new system for online Arabic handwriting recognition based on beta-elliptic modeling and one dimensional Residual Neural Networks. Beta-elliptic model was applied to extract the dynamic and geometric characteristics of the trajectory, whereas the developed Residual Network is based on temporal convolution and skip connections and it has ability to represent the sequential aspect of the input data. The experiments have been done on the public Arabic handwriting dataset LMCA and showed the effectiveness of the proposed recognition model that reached the accuracy of 96.87%.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128252679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994122
Hani Aljarrah, Hatem Alqudah, S. Alwaely, Hanene Lahiani
This study investigated the effects of technology integration education on professors' and students' perspectives at U AE universities, as well as their ideas regarding potential impediments to technology integration in education. In order to achieve this goal, participants (students and professors) were given two important questions: “What might ‘Technology Integration in Education’ imply to you?” and “What would be the potential impediments to technology integration in education?” The study included 100 students and professors in all. In this qualitative study, the data was examined using the descriptive analysis method. According to the findings of the study, students and professors have critical perceptions of technology integration, such as effective use of technology, inclusion of technology in the course curriculum, increasing engagement, visualizing course content, working with administrators to integrate technology, and being able to teach with technology that cannot be taught beforehand. Regarding external and internal constraints, participants stated that a lack of funding/budget, a lack of equipment, a lack of ability, and a lack of time are important impediments to technology integration in education. In contrast to other research in the field, academics pointed to parental worries and security concerns as reasons why technology can't be used in teaching.
{"title":"Influences of Technology Integration Education on Professors' and Students' Perceptions in the UAE Universities","authors":"Hani Aljarrah, Hatem Alqudah, S. Alwaely, Hanene Lahiani","doi":"10.1109/ACIT57182.2022.9994122","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994122","url":null,"abstract":"This study investigated the effects of technology integration education on professors' and students' perspectives at U AE universities, as well as their ideas regarding potential impediments to technology integration in education. In order to achieve this goal, participants (students and professors) were given two important questions: “What might ‘Technology Integration in Education’ imply to you?” and “What would be the potential impediments to technology integration in education?” The study included 100 students and professors in all. In this qualitative study, the data was examined using the descriptive analysis method. According to the findings of the study, students and professors have critical perceptions of technology integration, such as effective use of technology, inclusion of technology in the course curriculum, increasing engagement, visualizing course content, working with administrators to integrate technology, and being able to teach with technology that cannot be taught beforehand. Regarding external and internal constraints, participants stated that a lack of funding/budget, a lack of equipment, a lack of ability, and a lack of time are important impediments to technology integration in education. In contrast to other research in the field, academics pointed to parental worries and security concerns as reasons why technology can't be used in teaching.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116567949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994197
Nehal M. Ali, Mohamed Shaheen, M. Mabrouk, M. A. Rizka
High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blindness, motor disabilities, and considerable psychological impact. This work introduces a complete BiLSTM deep learning model for analyzing miRNA data of Multiple Sclerosis patients to provide early detection for this disease. The introduced model is based on a preprocessing flow published earlier by the authors. The experiments were conducted on a dataset of 215 transcriptomic miRNA samples of treated and untreated Multiple Sclerosis patients. The implicated results were quite promising, as the produced sensitivity, specificity, precision, accuracy, and F1 scores of (0.785,0.789,0.788, 0.8, and 0.79) respectively, were achieved. To ensure model robustness, the obtained accuracy of the introduced model was compared to two other state-of-art models, and the proposed BiLSTM has relatively outperformed the other literature models.
{"title":"Multiple Sclerosis Biomarkers Detection by a BiLSTM Deep Learning Model for miRNA Data Analysis","authors":"Nehal M. Ali, Mohamed Shaheen, M. Mabrouk, M. A. Rizka","doi":"10.1109/ACIT57182.2022.9994197","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994197","url":null,"abstract":"High-throughput data technology has enabled studies on microRNA analysis to evolve in the field of early disease diagnosis. Multiple Sclerosis is one of the most known chronic autoimmune diseases that can cause severe disabilities, including partial blindness, motor disabilities, and considerable psychological impact. This work introduces a complete BiLSTM deep learning model for analyzing miRNA data of Multiple Sclerosis patients to provide early detection for this disease. The introduced model is based on a preprocessing flow published earlier by the authors. The experiments were conducted on a dataset of 215 transcriptomic miRNA samples of treated and untreated Multiple Sclerosis patients. The implicated results were quite promising, as the produced sensitivity, specificity, precision, accuracy, and F1 scores of (0.785,0.789,0.788, 0.8, and 0.79) respectively, were achieved. To ensure model robustness, the obtained accuracy of the introduced model was compared to two other state-of-art models, and the proposed BiLSTM has relatively outperformed the other literature models.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129549961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994175
A. Shaout, Abdelrahman Shaout, Sadhvi Ajit Varagiri
ADAS (Advance Driver Assistance Systems) is an integrated electronic system that utilizes the latest technologies to provide safety and a comfortable driving experience for automobile drivers. These systems have become very widespread over the recent years, proving their capability in avoiding dangerous accidents. Research in this field has grown, allowing many new technologies to be implemented. The goal of this research paper is to study the existing state of art technologies in this field, presenting a comprehensive classification of the already existing ADAS systems, as well as future technologies that are still pending research, into exclusive categories. Each category is explained in detail for why that technology fell into that specific category.
{"title":"ADAS Technology Classifications Using a Modified Agile Process","authors":"A. Shaout, Abdelrahman Shaout, Sadhvi Ajit Varagiri","doi":"10.1109/ACIT57182.2022.9994175","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994175","url":null,"abstract":"ADAS (Advance Driver Assistance Systems) is an integrated electronic system that utilizes the latest technologies to provide safety and a comfortable driving experience for automobile drivers. These systems have become very widespread over the recent years, proving their capability in avoiding dangerous accidents. Research in this field has grown, allowing many new technologies to be implemented. The goal of this research paper is to study the existing state of art technologies in this field, presenting a comprehensive classification of the already existing ADAS systems, as well as future technologies that are still pending research, into exclusive categories. Each category is explained in detail for why that technology fell into that specific category.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131223936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-22DOI: 10.1109/ACIT57182.2022.9994145
Ajayeb Salama AbuDaabes, Imen Gharbi, M. H. Al-Kilani, W. S. Ismail
This study employs a sequence of quantitative analyses in order to assess to which extent Higher Education Institutions (HEIs) make use of their Facebook pages during a specific period and how it is reflected in their online activities and practices. A total number of 4148 posts is considered for 16 active HEIs during the 2019/2020 academic year in UAE. Frequencies per week, month, and time at which the HEIs posted messages have been analyzed. The longitudinal focus of this study will allow for assessing the posting timing trends and exploring patterns of activities of HEIs in terms of communication and engagement with the audience. Results indicate that the HEIs significantly differ in terms of posting activities on the Facebook platform. The most active institution posts 4 times more than the inactive ones. These institutions published posts primarily on weekdays -with little interest on weekends - between 12:00 and 6:00 PM with similar patterns over the 12 months. Additionally, the chi-Square test shows that there is a significant difference between HEIs timing posting in terms of the day, time, and month.
{"title":"Always-on!! A Quantitative Assessment of Higher Education Institutions' Activities on Facebook","authors":"Ajayeb Salama AbuDaabes, Imen Gharbi, M. H. Al-Kilani, W. S. Ismail","doi":"10.1109/ACIT57182.2022.9994145","DOIUrl":"https://doi.org/10.1109/ACIT57182.2022.9994145","url":null,"abstract":"This study employs a sequence of quantitative analyses in order to assess to which extent Higher Education Institutions (HEIs) make use of their Facebook pages during a specific period and how it is reflected in their online activities and practices. A total number of 4148 posts is considered for 16 active HEIs during the 2019/2020 academic year in UAE. Frequencies per week, month, and time at which the HEIs posted messages have been analyzed. The longitudinal focus of this study will allow for assessing the posting timing trends and exploring patterns of activities of HEIs in terms of communication and engagement with the audience. Results indicate that the HEIs significantly differ in terms of posting activities on the Facebook platform. The most active institution posts 4 times more than the inactive ones. These institutions published posts primarily on weekdays -with little interest on weekends - between 12:00 and 6:00 PM with similar patterns over the 12 months. Additionally, the chi-Square test shows that there is a significant difference between HEIs timing posting in terms of the day, time, and month.","PeriodicalId":256713,"journal":{"name":"2022 International Arab Conference on Information Technology (ACIT)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131862018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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